Companies
Juniper Networks backs Recogni’s edge AI breakthrough
What happened The two companies announced on Tuesday (November 13) that the network equipment manufacturer Juniper Networks has invested in the AI company Recogni. This is part of a late-stage funding round of $102 million. Juniper Networks announced its collaboration with Recogni. The latter was fo…

Headline
What happened The two companies announced on Tuesday (November 13) that the network equipment manufacturer Juniper Networks has invested in the AI company Recogni. This is part of a late-stage funding round of $102 million. Juniper Networks announced its collaboration with…
Context
The two companies announced on Tuesday (November 13) that the network equipment manufacturer Juniper Networks has invested in the AI company Recogni . This is part of a late-stage funding round of $102 million. Juniper Networks announced its collaboration with Recogni. The latter was founded in 2017. Its mission is to create energy-efficient AI accelerators based on a logarithmic system called Pareto. The collaboration will focus on providing AI inference computing for hyperscale enterprises, cloud service providers, and companies operating across cloud environments and data centers.
Evidence
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Analysis
Recogni will work with Juniper Networks to develop AI inference systems that can be installed in server racks. Recogni CEO Marc Bolitho said this partnership will enable the world’s largest models to run with “unprecedented speed, accuracy, and efficiency.” Additionally, the startup revealed that Celesta Capital and GreatPoint Ventures co-led this funding round. But it did not disclose its valuation. Also read: Recogni’s logrithmic AI backed by Juniper Networks Also read: OpenLight proliferates PDKs to address photonic IC markets
Key Points
- Juniper Networks is investing $102 million in artificial intelligence startup Recogni to advance edge computing solutions
- Recogni mentioned that it will work with Juniper Networks to build AI inference systems that can be installed in server racks
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