New NeuralMesh AI Data Platform Closes the Gap Between AI Proof-of-Concept and Profitable Production, Delivering Scalable Business Intelligence and Faster AI Outcomes with NVIDIA SAN JOSE, Calif. and ...
Lower Cost per Token Achieved with NVIDIA BlueField-4 STX. NeuralMesh and Augmented Memory Grid Integration with NVIDIA STX ...
NeuralMesh and Augmented Memory Grid Integration with NVIDIA STX Increases Token Production by 6.5x in the Same GPU Footprint ...
WekaIO (WEKA), the AI-native data platform company, announced that the WEKA Data Platform has been certified as a high-performance data store for NVIDIA Partner Network Cloud Partners. With this ...
Cloudian is integrating its HyperStore object storage with the WEKA Data Platform for AI, providing high-performance, exabyte-scalable private cloud storage for processing iterative analytical ...
The joint solution architecture keeps new and active data on WEKA’s NeuralMesh flash tier, while seamlessly tiering data to Scality’s exabyte-scale, resilient object storage. This ensures optimal ...
CAMPBELL, Calif.--(BUSINESS WIRE)--WekaIO™ (Weka) the leading data platform for modern applications, today announced that Weka has been recognized by Gartner as a Visionary with its placement in the ...
With a Revolutionary Service-Oriented Mesh Architecture, NeuralMesh Optimizes AI Infrastructures to Create Resilient, Efficient, Massively Scalable Token Warehouses and AI Factories That Accelerate ...
CAMPBELL, Calif.--(BUSINESS WIRE)--WekaIO™ (Weka), the data platform for AI, today announced that it has developed a high-performance solution with Hewlett Packard Enterprise (HPE) for the most ...
CAMPBELL, Calif., June 20, 2024 – WekaIO, the AI-native data platform company, today announced its IP portfolio has been awarded more than 100 patents by the United States Patent and Trademark Office ...
This exclusive Q&A interview was conducted by Nages Sieslack of the ISC 2022 conference organization, with Liran Zvibel, co-founder and CEO of WEKA, which offers a data platform built for ...
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