aiqbench takeChips & Infra

Vast is addressing a critical infrastructure bottleneck for enterprise AI agents by implementing tiered storage to offload Key-Value (KV) caches from GPU memory. This approach allows systems to sustain long-running sessions and complex tasks like code generation without hitting memory limits, effectively shifting the constraint from compute capacity to data movement efficiency. The strategy highlights how persistent media and orchestration software are becoming essential for scaling agentic workflows beyond current hardware boundaries.

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Vast uses tiered storage to ease AI agent memory demands

SiliconANGLEOctober 6, 20264 min read

AI agent memory is creating new demands on infrastructure as agents run longer sessions and spread across the enterprise. Retaining that context and making it available when needed puts pressure on memory capacity and data movement. Those demands extend beyond the context held during an individual interaction. Enterprise agents also need shared knowledge that persists […] The post Vast uses tiered storage to ease AI agent memory demands appeared first on SiliconANGLE.

AI agent memory is creating new demands on infrastructure as agents run longer sessions and spread across the enterprise. Retaining that context and making it available when needed puts pressure on memory capacity and data movement. Those demands extend beyond the context held during an individual interaction. Enterprise agents also need shared knowledge that persists across sessions, according to Alon Horev, (pictured) co-founder and…

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