Graid Technology Launches Agentic AI Storage Portfolio to Eliminate KV Cache Bottlenecks

From edge inference to NVIDIA STX, purpose-built KV cache infrastructure for consistent performance at scale. SUNNYVALE, CA / ...
SDxCentral

DDN, Google Cloud claim Lustre KV cache trick boosts AI inference throughput by 75%

Unveiled at Google’s annual Next event, the pair showcased using Managed Lustre as a shared cache layer across inference ...
Hosted on MSN

Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed

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 ...
VentureBeat

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
Forbes

Nvidia Dynamo And Storage Next Boost AI Storage, Performance And Lowers Costs

Forbes contributors publish independent expert analyses and insights. Covering Digital Storage Technology & Market. IEEE President in 2024 At the 2025 Nvidia GPU Technology Conference the company ...
Morningstar

Penguin Solutions Introduces Industry's First Production-Ready CXL-Based KV Cache Server

Penguin Solutions MemoryAI KV cache server, an 11TB memory appliance, enables efficient deployment of enterprise-scale AI inference Penguin Solutions, Inc. (Nasdaq: PENG), the AI factory platform ...