NeuralMesh by WEKA: AI Storage That Keeps GPUs Fed

GPUs sitting idle — waiting on data — drive up costs and slow token output. NeuralMesh delivers a shared, distributed data layer faster than local NVMe, keeping GPUs productive.

• Higher GPU utilization
• Reduced cost per token
• Increased throughput
• Faster time-to-market



WEKA’s Augmented Memory Grid™ on NeuralMesh™ slashes inference cost at scale:

• 4–10x more tokens/sec for context memory
• 320+ GB/s read • 150+ GB/s write throughput
• 6.5x more token production in the same GPU footprint



WEKA’s AMG on NeuralMesh™ delivers up to 4–20× faster time-to-first-token by reusing cached context — eliminating redundant prefill as context windows grow.

• Faster AI agent response under real load
• More concurrent users on same infrastructure
• Consistent performance at scale



WEKA’s Augmented Memory Grid extends GPU memory with a high-speed Token Warehouse™ — persistent storage and microsecond retrieval at exabyte scale via NVIDIA GPUDirect® Storage, RDMA, and NVMe.

• Microsecond latency
• Massive parallel throughput
• Exabyte-scale memory fabric