LLM inference

Valkey 9.2: Forkless Replication and AI Infrastructure Ambitions

Valkey 9.2: Forkless Replication and AI Infrastructure Ambitions

Valkey has released RC1 for version 9.2, its largest launch to date, featuring forkless replication that dramatically reduces memory overhead and a new hierarchical data structure designed for LLM inference routing. The project is also advancing synchronous replication, a move that would allow Valkey to serve as a durable data store rather than purely a cache. For organizations evaluating open source in-memory infrastructure, this release reframes what Valkey can credibly do.

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Everpure's New AI Data Platform Targets Production Scale

Everpure’s New AI Data Platform Targets Production Scale

Everpure announced new data management capabilities designed to move enterprise AI from pilot to production, covering governed agent data access, LLM inference acceleration, and token cost optimization. ECI Research analyzes the business and technical implications for IT decision-makers and developers evaluating AI infrastructure. The governance and compliance angle may be the most underrated part of this release.

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MatX One: A Purpose-Built LLM Inference Chip Challenges NVIDIA

MatX One: A Purpose-Built LLM Inference Chip Challenges NVIDIA

MatX has closed a $500M Series B to develop the MatX One, a purpose-built LLM inference chip targeting throughput and latency at scale. The announcement signals growing disaggregation in the AI hardware market and poses real implications for enterprise AI infrastructure decisions. ECI Research analyst take on what it means for ITDMs and developers.

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