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WEKA Enhances AI Capabilities with Augmented Memory Grid

WEKA has unveiled its Augmented Memory Grid™ on NeuralMesh™, a technology aimed at overcoming the limitations of GPU memory in AI systems. Validated on Oracle Cloud Infrastructure (OCI) and other leading platforms, this innovation enhances GPU memory from gigabytes to petabytes and reduces the time to first token by 20 times. The technology is designed to improve the efficiency of AI inference workloads, a critical aspect of AI development that has faced scalability challenges.

Augmented Memory Grid uses high-speed data pathways to bridge GPU memory and flash-based storage, leading to improved context access and reduced computational redundancy. With performance gains such as 1000x more key-value cache capacity and faster processing times, WEKA aims to transform inference economics. This development allows AI providers to optimize resources, enhance tenant density, and introduce new business models.

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