DDN added new capabilities to the Lustre platform it manages with Google Cloud, including means to share key-value (KV) cache to boost AI inference workloads. Unveiled at Google’s annual Next event, ...
A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
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Google’s TurboQuant algorithm slashes the memory bottleneck that limits how many AI models can run at once
Running a large language model is expensive, and a surprising amount of that cost comes down to memory, not computation.
Remote-First-Company | NEW YORK CITY, Jan. 05, 2026 (GLOBE NEWSWIRE) -- VAST Data, the AI Operating System company, today announced a new inference architecture that enables the NVIDIA Inference ...
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...
SwiftKV optimizations developed and integrated into vLLM can improve LLM inference throughput by up to 50%, the company said. Cloud-based data warehouse company Snowflake has open-sourced a new ...
From edge inference to NVIDIA STX, purpose-built KV cache infrastructure for consistent performance at scale. SUNNYVALE, CA / ACCESS Newswire / April 21, 2026 / Graid Technology, the pioneer in ...
Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...
FREMONT, Calif.--(BUSINESS WIRE)--Penguin Solutions, Inc. (Nasdaq: PENG), the AI factory platform company, today announced the industry's first production-ready KV cache server that utilizes CXL ...
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