Verkor Launches Industry's First TurboQuant LLM Inference Accelerator Silicon IP

VerTQ is an accelerator chip that implements Google's TurboQuant algorithm which reduces KV cache memory usage of Large ...
SDxCentral

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

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, ...
Semiconductor Engineering

Dynamic KV Cache Scheduling in Heterogeneous Memory Systems for LLM Inference (Rensselaer Polytechnic Institute, IBM)

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 ...
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 ...
InfoWorld

Snowflake open sources SwiftKV to reduce inference workload costs

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 ...
Yahoo Finance

VAST Data Redesigns AI Inference Architecture for the Agentic Era with NVIDIA

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 ...
Business Wire

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

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 ...
TechCrunch

Tensormesh raises $4.5M to squeeze more inference out of AI server loads

With the AI infrastructure push reaching staggering proportions, there’s more pressure than ever to squeeze as much inference as possible out of the GPUs they have. And for researchers with expertise ...
SiliconANGLE

New memory architecture targets AI inference bottlenecks

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...
manilatimes

Skymizer Taiwan Inc. Unveils Breakthrough Architecture Enabling Ultra-Large LLM Inference on a Single Card

Deploying ultra-large models on-premise has historically required massive GPU clusters, high-speed interconnects like NVLink/NVSwitch, and intensive cooling systems - resulting in prohibitive cost and ...