Summary
- Markley Group's strongest public evidence is not a disclosed cabinet price or facility-level profit figure. It is the combination of One Summer Street's official facility claims, AWS Direct Connect listing, PeeringDB facility and Boston Internet Exchange records, and customer case studies that show why a cabinet in downtown Boston can be bought as an operating hedge rather than just as rentable floor space.
- The thesis is strongest for buyers that need city access, carrier density, hybrid cloud paths, and a controlled migration from on-premises infrastructure. It is weaker where workloads are portable, latency to Boston is unimportant, power density is the only criterion, or a buyer can obtain cheaper power and land in a suburban or secondary-market facility without losing network adjacency.
- The missing private proof is decisive: actual monthly recurring revenue per cabinet and usable kilowatt, renewal and churn rates, cross-connect attachment per customer, service credits, utilization, and outage logs. Without those, public analysis can explain the mechanism of pricing and retention but cannot prove Markley's unit economics.
The purchase is a cabinet, but the bill is for avoided failure
Imagine a Boston technology buyer with one production cabinet at Markley's One Summer Street facility, a modest disaster-recovery footprint, two carrier connections, and a direct cloud path. The renewal decision is not simply whether a rack is cheaper elsewhere. The buyer is deciding whether to keep paying for a downtown cabinet whose value comes from power continuity, cooling, physical access, cross-connect convenience, carrier choice, and the cost of not moving a live environment. The real substitutes are a hyperscale cloud migration, a cheaper suburban colocation room, a managed hosting contract, or a rebuilt on-premises server room. AWS publishes usage-based compute and network price pages at https://aws.amazon.com/ec2/pricing/on-demand/ and https://aws.amazon.com/directconnect/pricing/. Those pages do not say whether Markley is cheaper, but they show why cloud is a variable-cost substitute rather than a simple like-for-like rack replacement.
For this buyer, the paid unit is a cabinet, cage, or suite bundled with measured power, cooling, security, remote technical labor, and interconnection rights. Markley's own colocation page says the company offers customizable suite and cage designs, redundant uninterruptible power systems, on-site backup generation, redundant cooling, tailored security, and 24x7 service and support: https://www.markleygroup.com/services/colocation. The same page says One Summer Street has two diverse cross-connect rooms, also described as meet-me rooms, which is a practical detail. Diversity is not a slogan when a buyer has one circuit to a carrier, another to a cloud on-ramp, and a timetable for patching, testing, and disconnecting live services.
The burden transferred to Markley is operational rather than abstract. A cabinet renewal transfers the job of running a power chain, chilled-water environment, physical security regime, cable plant, access process, and telco coordination inside a large city building. The buyer still owns the servers and the software risk. Markley does not become a controller of customer data, and its acceptable use policy says it provides physical and environmental safeguards rather than logical access to customer systems: https://www.markleygroup.com/acceptable-use-policy. That distinction matters for the economics. Markley sells the buyer a controlled environment and access to network options, not a promise that the buyer's application will be well architected.
The strongest public proof is layered. Markley's data center page says One Summer Street is a 920,000-square-foot, carrier-neutral Boston facility with 100 network providers, 24x7 staff and security, 2N electrical systems for critical IT loads, and a chilled-water loop combining five independent chiller plants in an N+1 configuration: https://www.markleygroup.com/data-center. PeeringDB lists Markley Group One Summer Street Boston as facility 219 at 1 Summer Street, with 81 networks and the Boston Internet Exchange present: https://www.peeringdb.com/fac/219. AWS lists "Markley, One Summer Street, Boston, MA" as an AWS Direct Connect location associated with US East (Virginia), available at 1G, 10G, and 100G port speeds: https://aws.amazon.com/directconnect/locations/. Those sources cannot prove the realized price of one cabinet, the service history of a specific buyer, or the margin on a cross-connect. They can prove that the renewal decision is anchored in a real operating surface.
The one private unit metric that would settle the thesis is not total square footage. It is monthly recurring revenue per contracted cabinet and usable kilowatt, adjusted for cross-connects, remote-hands tickets, power overage, renewal term, and service credits. If Markley earns a premium because customers attach several network services and renew after migration costs become high, that metric would show it. If cabinets clear only at discounted space-and-power rates while cross-connect and cloud access are thin, the thesis weakens. Public evidence lets us infer the mechanism, not the exact yield.
Why downtown Boston is an operating feature, not just an address
One Summer Street is not a remote industrial campus chasing the cheapest megawatt. It is a downtown Boston carrier hotel. Markley's about page says the company was founded in 1991, launched the flagship One Summer Street facility in 1998, and describes the site as serving financial services, healthcare, academia, government, entertainment, science, technology, and major telecommunications companies: https://www.markleygroup.com/about-markley. That customer-mix claim is broad and promotional, but it fits the physical logic of a city colocation node. Boston's hospitals, universities, financial firms, software companies, media operations, and public institutions often need local access, maintenance windows, controlled handoffs, and network diversity more than they need a bare-metal rack in the lowest-cost power market.
Urban colocation earns its place when moving the workload is expensive. A cabinet in a suburban facility can be cheaper on land and potentially on utility service, but it may require new carrier contracts, new transport, changed latency to offices and partners, and a fresh access model for staff and vendors. A public cloud migration can reduce physical equipment handling, but it also changes cost control, data transfer economics, hardware ownership, compliance evidence, and the ability to run owned appliances or specialized equipment. An on-premises server room keeps assets close, but it asks the buyer to maintain power, cooling, fire suppression, monitoring, physical access, and lifecycle upgrades inside an office building that was usually not designed as a data center.
Markley's public case studies show how buyers frame those trade-offs. Bridgewater State University said its solution included dedicated fiber from campus to Markley Boston, mission-critical space at One Summer Street, and direct peering with the Boston Internet Exchange: https://www.markleygroup.com/bridgewater-state-case-study. The public benefits listed by Markley include increased security, reliability, connectivity, a 50 percent reduction in Internet costs, and lower bandwidth needs through BOSIX peering. This is a company case study, so it should not be treated as independent customer research. It is still useful because it names the avoided-cost mechanism: the cabinet is not just floor space; it is a way to avoid or defer buying more transit, repairing aging campus data rooms, and building direct network relationships alone.
The same pattern appears in Markley's Vyasa case study, where a deep-learning software company is described as choosing hybrid infrastructure because a cloud-only approach would have produced an unpredictable stream of costly monthly bills for high-compute research and development: https://www.markleygroup.com/vyasa-case-study. Again, the source is promotional. The valuable point is not that every high-compute buyer should colocate. It is that a buyer's willingness to renew a cabinet can come from control over owned hardware and data movement, especially when the workload is steady enough to make cloud elasticity less valuable than cloud marketing suggests.
The city also changes access economics. A buyer can send a technician, vendor, auditor, or replacement part into a downtown site on a predictable schedule. That does not eliminate friction. Markley's acceptable use policy makes clear that access, cabling, third-party vendor approvals, customer-space rules, and cross-connect-room work are controlled processes: https://www.markleygroup.com/acceptable-use-policy. But controlled friction is part of what is being bought. In an office server room, informal access may look convenient until a cooling failure, water leak, undocumented cable path, or after-hours security issue appears. In a large carrier hotel, access discipline is a cost and a protection at the same time.
Power is sold as redundancy, but it is bought as price insurance
Power is the first constraint in the cabinet economy. The monthly price must recover not only electricity consumed by servers, but also the distribution, UPS, generator, cooling, monitoring, maintenance, and reserve capacity that make the cabinet usable at the contracted density. Markley says its homepage footprint is 1.4 million square feet of data center space, 100-plus domestic and international network providers, 24x7 on-site staff and security, and 2N UPS, cooling, and generator backup: https://www.markleygroup.com/. On the data center page, the Boston site is described with 2N electrical architecture for critical IT loads and an N+1 chilled-water arrangement: https://www.markleygroup.com/data-center. These claims are not a substitute for audited uptime data, but they indicate the cost base.
The cabinet buyer sees this in the power rules. Markley's acceptable use policy states that, under the National Electric Code unless a customer has approved 100 percent rated circuits, current delivery may not exceed 80 percent of a circuit breaker's rated capacity, and circuits must be used solely to power the cabinet to which they are assigned: https://www.markleygroup.com/acceptable-use-policy. That converts a simple-looking breaker into an economic limit. A buyer that thinks it is buying nominal amperage is really buying usable, governed, cooled, and monitored power. The 80 percent constraint can make the last kilowatt in a cabinet expensive because it may require additional circuits, redistribution of equipment, or a higher-density design.
Massachusetts power costs make that discipline more important. The U.S. Energy Information Administration's Electric Power Monthly table for April 2026 reports Massachusetts commercial electricity at 24.02 cents per kilowatt-hour and industrial electricity at 18.55 cents per kilowatt-hour, above the U.S. commercial and industrial averages shown in the same table: https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=epmt_5_6_a. A data center customer may not pay the exact average tariff in that table, and a large facility may procure supply differently. But the public statistic reinforces the geography: Boston-area colocation is not priced in a cheap-power region. Its premium must be justified by reliability, network density, access, and avoided migration cost.
Grid context adds another layer. ISO New England warns that electrification of heating and transportation will sharply increase regional electricity demand while the grid absorbs large amounts of intermittent, weather-dependent resources: https://www.iso-ne.com/about/where-we-are-going/regional-electricity-outlook. ISO-NE also notes that behind-the-meter solar and efficiency reduce bulk-system demand, but those resources do not remove the need for dispatchable capacity and transmission investment: https://www.iso-ne.com/about/key-stats/resource-mix/. For a cabinet buyer, this does not mean Markley has a special exemption from grid risk. It means the price of a reliable cabinet in Boston includes the cost of operating inside a region where electricity is expensive, infrastructure is constrained, and reliability planning is a live public issue.
Eversource's business-rate page explains the delivery portion of a bill as covering grid maintenance and upgrades, customer programs, taxes, and mandated charges, with rates varying by state and location: https://www.eversource.com/business/account-billing/manage-bill/about-your-bill/rates-tariffs/electric-delivery-rates. That is a reminder that the power component of a colocation bill is not only wholesale electrons. It is also delivery, demand, local infrastructure, taxes, and the capital tied up in resilience. A buyer who moves to a cheaper facility may reduce some of those burdens, but the buyer also moves farther from Boston's network and operating ecosystem.
Carrier density is the cabinet's second meter
If power is the first meter, interconnection is the second. Markley's carrier page describes the facility as home to New England's largest network of regional, national, and international carriers, with a public list that includes major telecom operators, cloud and interconnection names, and regional networks: https://www.markleygroup.com/services/carriers. The list itself should be read carefully because carrier pages can age and include legacy names. PeeringDB provides a more bounded technical view: One Summer Street lists 81 networks, including cloud, content, telecom, education, healthcare, and enterprise networks: https://www.peeringdb.com/fac/219. The Boston Internet Exchange page in PeeringDB lists 58 peers, 68 connections, 3.0T total capacity, and 82 percent with IPv6: https://www.peeringdb.com/ix/565.
This density changes the renewal calculation because a cabinet with carrier options is not equivalent to a cabinet with one default transit provider. A buyer can use multiple ISPs, private transport, peering, cloud on-ramps, and direct circuit paths. Markley's Boston Internet Exchange page says BOSIX is hosted at One Summer Street and Lowell, offers a proprietary switching fabric, and supports 1Gb, 10Gb, 40Gb, and 100Gb connections: https://www.markleygroup.com/services/boston-internet-exchange. Its participant page says there are 88 participants on the exchange: https://www.markleygroup.com/services/boston-internet-exchange/peering. The PeeringDB count differs, which is normal for datasets with different update cycles and inclusion rules. The economic conclusion does not depend on the exact number. It depends on the visible presence of content networks, cloud networks, universities, regional carriers, and enterprise networks in a shared Boston fabric.
Peering can reduce transit burden where traffic patterns match. Markley's BOSIX page says peering can move traffic to destinations such as Netflix, Facebook, Akamai, Microsoft Office365, and others off ordinary Internet connections and onto direct peering: https://www.markleygroup.com/services/boston-internet-exchange. The Bridgewater State case study gives a concrete customer version of that claim, saying direct peering helped avoid doubling Internet bandwidth and saved at least $18,000 per year in one cited statement: https://www.markleygroup.com/bridgewater-state-case-study. That figure is not a general price list. It is one public example of the avoided-cost logic that can make a cabinet renewal rational even if a cheaper rack exists elsewhere.
Interconnection also creates lock-in, but the word should be used with care. Bad lock-in traps customers through opaque terms and high exit penalties. Productive lock-in comes from useful attachment: cross-connects, private circuits, access procedures, validated cable paths, established vendor relationships, and tested disaster-recovery runbooks. A buyer that has built several network paths at One Summer Street may face a large switching cost because each path has to be reprovisioned, tested, and cut over. Markley's AUP says cross-connects are run within cross-connect rooms and kept separate for diversity purposes, with troubleshooting controlled by telco technicians and customer permission: https://www.markleygroup.com/acceptable-use-policy. That kind of process raises exit friction because the network state is engineered, not casual.
The cabinet price therefore depends partly on cross-connect attachment. A cabinet with one power feed and no network service is a lower-value unit than a cabinet with dual carriers, a cloud circuit, BOSIX, and remote hands. Markley does not disclose cross-connect pricing or attachment rates. Public sources prove the interconnection surface, not the revenue yield. Still, the surface is visible enough to explain why a downtown Boston renewal can be priced against network migration risk rather than against square-foot rent alone.
Cloud access makes Markley a hybrid-control venue
The Markley cabinet is most defensible when it sits between owned infrastructure and cloud services. Markley's AWS Direct Connect page calls the company the AWS Direct Connect location for New England and says its ecosystem includes more than 100 carriers: https://www.markleygroup.com/aws-direct-connect. AWS's own location list independently names Markley, One Summer Street, Boston, MA, as a Direct Connect location associated with US East (Virginia), with 1G, 10G, and 100G availability: https://aws.amazon.com/directconnect/locations/. That external confirmation is important because cloud on-ramp claims are often repeated in marketing without showing whether the site is actually listed by the cloud provider.
A hybrid buyer uses this to choose which workloads stay on owned hardware and which move to cloud. Compute that is bursty, globally distributed, or operationally immature may fit cloud better. Storage-heavy or GPU-heavy workloads with steady utilization may punish a cloud-only design through high recurring compute, data transfer, or specialized instance costs. AWS pricing pages show the menu of variable charges but not a buyer's negotiated discounts or architecture quality: https://aws.amazon.com/ec2/pricing/on-demand/. Markley's value is not that it eliminates cloud dependence. It can make cloud dependence more deliberate by letting the buyer use owned hardware for steady or sensitive loads while keeping a private cloud path for elasticity, managed services, or remote regions.
This is why the cloud substitute belongs in the opening third of the analysis. A buyer renewing a Markley cabinet is not simply refusing cloud. It may be buying time and control. Replatforming an owned production stack into cloud can require security redesign, observability changes, identity work, data-transfer planning, database migration, license review, and staff retraining. Some companies should make that move. Others should not do it under renewal pressure. A colocation cabinet gives them an operating base while they decide which services deserve cloud treatment and which should remain on controlled hardware.
The risk is that hybrid can become a permanent halfway house. If workloads keep drifting to public cloud, a cabinet can be left with legacy appliances, awkward dependencies, and declining strategic importance. In that case, the cabinet price becomes harder to defend unless it supports disaster recovery, low-latency interconnection, compliance evidence, or critical hardware that cannot easily be virtualized. Markley's public materials emphasize high-density colocation for AI, machine learning, GPUs, direct-to-chip or liquid-cooling support, and rack densities of up to 120kW: https://www.markleygroup.com/services/high-density-colocation. That is a plausible response to cloud drift: sell cabinets not as generic space, but as controlled high-density infrastructure near a network hub.
The private proof would again be utilization. If Markley's high-density space is filled by renewing AI, life-sciences, education, media, and enterprise customers who need local control and cloud links, the strategy has strong footing. If high-density claims mostly attract tours while the revenue base remains lower-density legacy colocation, the public pitch overstates the change. Public evidence can show technical capability. It cannot show sales conversion.
The Lowell site is part of the Boston product
Markley's Lowell facility matters because it gives the Boston cabinet a regional counterpart. The official data center page says Lowell encompasses 352,000 square feet of highly secured white space, has shared or dedicated disaster-recovery hot seats, 2N UPS and generator backup, multiple power entrances from two utility substations, and three diverse dark-fiber routes to One Summer Street for full carrier access to 100 network providers: https://www.markleygroup.com/data-center. PeeringDB lists Markley Group Lowell at 2 Prince Ave, Lowell, MA, with the Boston Internet Exchange present: https://www.peeringdb.com/fac/3096. The Lowell public surface appears much smaller in PeeringDB network count than One Summer Street, but the official description says its strategic role is to connect back to Boston.
This changes the buyer's substitute set. A cheaper suburban facility may be available, but a buyer considering Markley Lowell is not necessarily leaving the Markley ecosystem. It can retain a path to Boston carriers while shifting some footprint to a location with different power entrances, tax treatment, and disaster-recovery seating. Markley's public page says Lowell has a personal property tax exemption on equipment: https://www.markleygroup.com/data-center. For hardware-heavy customers, local tax treatment can be part of total cost of ownership, especially where servers, storage, and network gear are refreshed often.
The Boston cabinet can therefore become a control node rather than the whole footprint. A buyer might keep network-dense equipment, cloud connections, and carrier handoffs at One Summer Street while placing replicated systems, backup infrastructure, or lower-touch workloads in Lowell. That arrangement competes not only with other colocation providers, but with managed disaster recovery, cloud-region replication, and on-premises secondary rooms. Markley's advantage is the claim of three dark-fiber routes from Lowell to Boston and common operating ownership. The evidence to verify would be actual route diversity, latency, service availability, and the contract terms for using both locations.
This is where public claims are thin. The official Lowell claims are useful, but they are not engineering drawings, independent uptime audits, or public tariff sheets. The right judgement is neither to dismiss the Lowell site as marketing nor to treat it as fully proven. The economic inference is narrower: Markley can position One Summer Street as a city interconnection hub and Lowell as the nearby continuity and expansion node. That supports renewal for buyers who want regional redundancy without moving their operating center out of Massachusetts.
Compliance and access are retention tools
Colocation buyers often renew because audit routines become embedded. Markley's about page lists compliance achievements including GDPR, SOC 1 Type II, SOC 2 Type II, ISO 27001, HIPAA, PCI DSS, and ISO 27701: https://www.markleygroup.com/about-markley. The AUP says applicable audit reports may be available annually upon request, subject to a suitable nondisclosure agreement and service contracts: https://www.markleygroup.com/acceptable-use-policy. This is typical for data centers; detailed reports are not public because they contain security and control information. For a buyer, the economic point is that moving facilities can mean refreshing vendor risk reviews, physical-security narratives, insurance evidence, and customer questionnaires.
Compliance does not make a facility unique by itself. Many serious colocation providers have SOC, ISO, PCI, and healthcare-related control packages. The difference is how those controls map to local access, network density, and the buyer's own evidence trail. A hospital-adjacent software vendor, a university, a media rights business, or a financial services supplier may not need Markley specifically, but it may need a facility whose compliance evidence is accepted by its own customers and auditors. Once that acceptance exists, a lower cabinet price elsewhere has to compensate for the cost of revalidation.
Security rules also affect the operating rhythm. Markley's AUP prohibits photography and audio recording within facilities, restricts cross-connect room access, requires professional conduct, controls cabling outside leased private suites or cabinets, and reserves authority over third-party contractors: https://www.markleygroup.com/acceptable-use-policy. These controls can frustrate customers who want informal access, but informality is rarely the goal in mission-critical colocation. The customer buys a place where access is logged, cable quality is enforced, and unauthorized activity is constrained. That has labor cost, and it can justify remote-hands reliance.
The retention risk is service quality. If access procedures are slow, remote hands are expensive, or vendor approvals delay urgent work, process becomes a tax rather than protection. Public sources do not give ticket response times, remote-hands rates, maintenance-window performance, or customer satisfaction across the base. The article therefore cannot score Markley's operational service level from public data. It can only identify why access and compliance are part of the cabinet's price.
Customer evidence points to avoided capital and bandwidth, not generic satisfaction
Markley's best public customer stories are specific enough to be useful because they name burdens. Bridgewater State's case study is about dedicated fiber, One Summer Street data-center space, BOSIX peering, and reduced Internet access costs: https://www.markleygroup.com/bridgewater-state-case-study. Vyasa's case study is about avoiding an all-cloud cost profile for high-compute research and using Markley for owned infrastructure, connectivity, and technical help: https://www.markleygroup.com/vyasa-case-study. Safety NetAccess is presented as using Markley to keep hospitality networks up and running: https://www.markleygroup.com/case-study-safety-netaccess. Warner Music Group is presented as using Markley in copyright-protection operations: https://www.markleygroup.com/wmg-case-study-contact-0. These are not independent surveys. They are chosen success stories. But the variety is informative.
The common thread is not that Markley is the cheapest room. It is that different buyers convert the same facility traits into different budget lines. A university sees transit savings and mitigation of aging campus data-center risk. A life-sciences software company sees control over compute economics and hardware iteration. A hospitality network operator sees availability and network operation. A media rights business sees protected operations around digital assets. The cabinet's price is therefore linked to avoided cost inside the customer, not only to Markley's own cost base.
This is how a city colocation provider can defend price against hyperscale cloud. Cloud offers immediate capacity, global services, managed databases, and a deep services catalog. But cloud also charges by usage and can become expensive when workloads are steady, data is large, or hardware choice matters. Colocation requires capital equipment, operational skill, and slower procurement, but it gives the buyer control over hardware and network topology. The strongest buyers for Markley are those whose own avoided cost is visible: not enough internal data-center quality, too much transit expense, too much cloud bill volatility, too much audit friction, or too much migration risk.
The evidence gap is selection bias. Public case studies generally do not include lost customers, discounting, contract disputes, or failed migrations. They also rarely disclose the total bill. If a customer saved $18,000 per year on bandwidth but paid far more in space, power, remote hands, and cross-connects, the full business case could still be positive or negative. The useful question is whether the cabinet supports several avoided costs at once. A single saving rarely carries the renewal alone.
Competition is not only other Boston data centers
Markley's competitive set includes other colocation providers in Boston, suburban Massachusetts facilities, New York and New Jersey carrier hotels, cloud regions, cloud-adjacent interconnection platforms, managed hosting providers, disaster-recovery specialists, and internal IT rooms. The relevant competitor depends on what the buyer values. A content-heavy network may focus on peering and cross-connects. A university may focus on fiber, budget stability, and disaster recovery. A software company may compare owned high-density hardware with cloud GPU or CPU economics. A financial or healthcare buyer may emphasize access, compliance, and local continuity.
The industry backdrop gives Markley both support and pressure. North American data center demand has been supported by cloud, AI, and enterprise outsourcing, while power availability has become a major constraint. A TechRadar Pro report summarizing JLL's 2025 market work described record-low vacancy, large development pipelines, and power access as a defining constraint: https://www.techradar.com/pro/1-trillion-worth-of-data-centers-by-2030-us-leads-the-way-when-it-comes-to-colocation-and-hyperscale-capacity-report-posits. That is market color, not Markley-specific proof. It helps explain why existing powered urban facilities can be valuable when new utility capacity is slow and expensive.
The same backdrop can hurt Markley. If larger campuses in lower-cost power markets offer more megawatts, stronger liquid-cooling capacity, or lower effective rates, some high-density buyers may choose them over Boston. If cloud providers improve pricing for steady workloads or bundle migration credits, the cloud substitute becomes more compelling. If regional enterprises shift to SaaS and managed platforms, the addressable base for owned cabinets can shrink. The cabinet remains valuable only where physical control, local network adjacency, compliance, and migration cost remain material.
Markley also competes on age. One Summer Street's long operating history is a credibility asset, and Markley's about page says the site has more than 15 years of operation without a primary power outage: https://www.markleygroup.com/about-markley. But older city facilities must keep investing in power distribution, cooling, fire systems, physical layout, security, and high-density readiness. A newer campus may be easier to design for very high rack densities and liquid cooling. Markley's high-density page counters that it supports GPU workloads, direct-to-chip or liquid cooling, CFD modeling, and up to 120kW rack densities: https://www.markleygroup.com/services/high-density-colocation. The public cannot see how much high-density capacity is actually available or contracted.
What public network records can and cannot prove
PeeringDB is useful because it shows an operating surface that company marketing alone cannot fully establish. Facility 219 at One Summer Street lists address, geocode, CLLI code BSTNMA, local exchange presence, carriers, and networks: https://www.peeringdb.com/fac/219. The Boston Internet Exchange page lists prefixes, peers, capacity, policy categories, and local facilities: https://www.peeringdb.com/ix/565. These records support the claim that One Summer Street is a real interconnection venue in Boston.
But network records are evidence, not entities in themselves. An ASN, prefix, IP address, route-server entry, or IX participant is not a business relationship of the kind that proves revenue, service quality, or customer retention. PeeringDB entries can be maintained by participants, updated irregularly, or differ from operator pages. Markley's own BOSIX participant page says 88 participants: https://www.markleygroup.com/services/boston-internet-exchange/peering. PeeringDB lists a different peer count. The discrepancy should not be overread. It reflects database boundaries, timing, and participation definitions.
The correct use of network data is bounded. If Akamai, Amazon, Apple, Cloudflare, Meta, Microsoft, Netflix, Hurricane Electric, local universities, regional carriers, and Markley Network Services appear in the public peering or facility records, that supports the thesis that a buyer can obtain meaningful interconnection options at One Summer Street. It does not prove that every buyer receives low latency, cheaper transit, or strong service. Actual performance depends on port speed, route policy, cross-connect design, traffic mix, congestion, contract terms, and customer network engineering.
Network density also has a strategic downside. Where a facility becomes the region's practical interconnection center, customers may be exposed to concentrated facility risk. A buyer that places too many network dependencies inside one building may need a second site, diverse carrier paths, and tested failover. Markley's Lowell link can help some customers, but redundancy must be designed rather than assumed. Public records can identify adjacency. They cannot validate a customer's complete resilience architecture.
Energy and permitting risk now shape the renewal conversation
The buyer renewing a cabinet in 2026 is doing so in a market where data-center power is a public issue. The Lawrence Berkeley National Laboratory report on U.S. data-center electricity use has been widely cited for estimating that data centers accounted for 4.4 percent of U.S. electricity use in 2023 and could rise materially by 2028; a public summary is available through Berkeley Lab at https://eta.lbl.gov/publications/2024-united-states-data-center-energy. Even when estimates differ, the direction is clear: data centers have become visible loads for utilities, regulators, and communities.
That visibility affects Markley in two ways. First, existing powered capacity in a difficult urban market becomes more valuable. A cabinet inside an operating facility with established utility service, generators, cooling plant, access rules, and network fabric is not equivalent to a theoretical future cabinet in a project waiting for grid interconnection. Second, public scrutiny can raise the cost of expansion, backup generation, cooling upgrades, and emissions compliance. The facility's age and location make upgrades an ongoing strategic question.
Massachusetts also has high customer electricity costs relative to much of the country, as the EIA table shows: https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=epmt_5_6_a. That matters even if Markley's procurement, demand profile, and facility tariffs differ from average commercial rates. A Boston cabinet must justify itself against cheaper-power states and regions. The justification is strongest where latency, carrier density, physical access, compliance, and Boston-area continuity are not optional. It is weaker where workloads can run in a remote campus without business penalty.
Permitting risk is less visible in public records for Markley than grid price risk. Public searches reveal the facility and service claims, but not a clean, detailed public record of generator permits, emissions limits, cooling-water constraints, or recent major power upgrades. That absence is itself a missing proof category. For an investor or large buyer, facility-specific environmental permits, generator runtime limits, maintenance history, utility-interconnection capacity, and capital-upgrade plans would be central diligence items.
The pricing logic is bundled and therefore hard to compare
Colocation is hard to compare because the bill is bundled. A cabinet may include base space, committed power, metered overage, installation, cross-connects, remote hands, shipping and receiving, access badges, support, private suites, compliance evidence, cloud connectivity, IP transit, peering, and contract-specific service terms. Markley's public pages describe services but do not publish a general cabinet tariff: https://www.markleygroup.com/services/colocation. That is normal in enterprise colocation, but it makes public price comparison weak.
The buyer therefore compares cost by scenario. In a cloud scenario, the buyer models compute, storage, network egress, managed services, support plan, reserved or savings-plan commitments, migration labor, and application redesign. In a suburban colocation scenario, it models cabinet rates, power, cross-connects, transport back to Boston, cloud on-ramp availability, staff travel, and migration risk. In an on-premises room scenario, it models UPS replacement, cooling, generator or building backup, fire suppression, security, monitoring, staff coverage, insurance, and downtime exposure. In a Markley renewal scenario, it models the current bill, the cost to unwind circuits, the cost to move hardware, the value of existing peering, and the operational stability of not changing everything at once.
This is why Markley's best economic unit is not square feet. It is the cabinet-plus-interconnection bundle. A square foot in One Summer Street does not matter unless it can be powered, cooled, accessed, connected, and operated under rules the buyer can live with. A kilowatt does not matter unless it is delivered through usable circuits and cooled at the density required. A cross-connect does not matter unless it reaches the right carriers, cloud on-ramp, IX fabric, or private network. A remote-hands service does not matter unless response, skill, and price are good enough to reduce customer staffing burden.
The thesis would fail if buyers mainly renew because migration is painful while value is declining. Durable businesses can collect rent from friction for a while, but not forever. The healthier version is renewal through compounded utility: each added circuit, cloud path, remote-hands process, audit cycle, and failover test makes the cabinet more useful. Public evidence leans toward compounded utility for buyers with Boston network needs. It does not prove that every Markley cabinet has it.
What would change the judgement
Several facts would materially change the assessment. The first is facility-level uptime and service-credit history. Markley says it has never experienced a primary power outage in more than 15 years of operation: https://www.markleygroup.com/about-markley. If independent records showed repeated customer-impacting incidents, the reliability premium would weaken. If audited records confirmed very strong uptime with low service-credit exposure, the premium would strengthen.
The second is cabinet economics. Realized revenue per cabinet and usable kilowatt, cross-connect attachment, remote-hands gross margin, average term, renewal rate, and churn would show whether Markley captures the value implied by its interconnection surface. A facility can be technically important and still under-monetized. Conversely, a private company can generate attractive recurring revenue from a relatively mature asset if customers renew, cross-connect, and expand at high rates.
The third is power and cooling capacity for the next workload cycle. Markley's high-density page claims up to 120kW rack densities, liquid-cooling support, and high-density design for GPUs: https://www.markleygroup.com/services/high-density-colocation. If available capacity is limited, expensive to retrofit, or operationally constrained, newer campuses may take the growth. If Markley has enough deployable high-density capacity in Boston and Lowell, it can retain buyers that want owned AI, analytics, or life-sciences hardware near a carrier hotel.
The fourth is customer concentration. A privately held regional colocation operator may be durable if revenue is diversified across education, healthcare, media, cloud, telecom, and enterprise customers. It is riskier if a few large accounts control expansion and renewal economics. Public customer stories show variety but not concentration: https://www.markleygroup.com/bridgewater-state-case-study, https://www.markleygroup.com/vyasa-case-study, https://www.markleygroup.com/wmg-case-study-contact-0.
The fifth is competitive capacity in the Boston region. If a rival facility offers similar carrier density, equivalent cloud on-ramps, lower power cost, high-density readiness, and smoother access, Markley's renewal premium compresses. If One Summer Street remains the practical hub for Boston interconnection, its cabinet remains a scarce operating unit.
Final judgement
Markley Group's public record supports a qualified thesis: a city colocation cabinet can be priced by more than space and nominal power when it carries uptime inside an expensive urban grid and gives the buyer access to carriers, peering, cloud on-ramps, controlled physical operations, and a costly-to-recreate network state. The evidence is strongest for One Summer Street as Boston's interconnection node, supported by Markley's official facility claims, AWS's Direct Connect location list, PeeringDB facility records, and customer examples of bandwidth, cloud-cost, and on-premises-risk avoidance.
The thesis should not be overstated. Markley is private. Public sources do not disclose cabinet price, utilization, margin, churn, service credits, PUE, exact power procurement, customer concentration, or facility-level incident history. Customer case studies are selected by the company. Peering records show operating surface, not profitability. Official claims about redundancy and high-density capability are meaningful but not independent engineering audits.
For a Boston buyer renewing a cabinet, the practical question is whether Markley reduces more risk than it charges for. If the cabinet carries two or more of the following burdens - transit cost, cloud-bill volatility, aging server-room risk, local access, compliance evidence, carrier choice, high-density owned hardware, and migration avoidance - renewal can be rational even against cheaper substitutes. If the cabinet only stores legacy equipment with little interconnection value, the buyer should price the exit seriously. Markley's advantage is not that every workload belongs in a downtown colocation facility. It is that some workloads become economically safer when power, cooling, network adjacency, and physical operating discipline are bought together in the middle of Boston.