Google targets AI inference bottlenecks with TurboQuant

The technique aims to ease GPU memory constraints that limit how enterprises scale AI inference and long-context applications ...

Red Hat sees inference as AI’s next battleground — with Kubernetes at the core

Red Hat is pushing Kubernetes inference into the mainstream by contributing llm-d to the CNCF, as enterprises race to run AI ...
Security Boulevard

Exposed Ollama Servers: Security Risks of Publicly Accessible LLM Infrastructure

Learn how exposed Ollama servers can allow unauthorized model access, prompt abuse, and GPU resource consumption when LLM inference APIs are publicly accessible. The post Exposed Ollama Servers: ...
SDxCentral

Nvidia, hyperscaler-backed open standard for AI inference torch passed to Linux Foundation

An open standard for AI inference backed by Google Cloud, IBM, Red Hat, Nvidia and more was given to the Linux Foundation for ...

Check Point Releases AI Factory Security Blueprint to Safeguard AI Infrastructure from GPU Servers to LLM Prompts

Check Point® Software Technologies Ltd. (NASDAQ: CHKP), a pioneer and global leader of cyber security solutions, today released the AI Factory Security Architecture Blueprint — a comprehensive, vendor ...
Morning Overview 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 ...

Operant AI Launches AI Infrastructure Ecosystem Partnership Program, Bringing Real-Time Security to the Inference Layer

Operant AI, the industry's most comprehensive real-time security platform for AI, Agents, and MCP, today announced the launch of its AI Infrastructure Ecosystem Partnership Program — a strategic ...

Keysight Launches AI Inference Emulation Platform to Validate and Optimize AI Infrastructure

New platform validates and optimizes AI inference infrastructure at scale using real-world workload emulation; live ...
EurekAlert!

Turning PC and mobile devices into AI infrastructure, reducing ChatGPT costs

Until now, AI services based on Large Language Models (LLMs) have mostly relied on expensive data center GPUs. This has resulted in high operational costs and created a significant barrier to entry ...
Hosted on MSN

Turning PCs and mobile devices into AI infrastructure can slash operational costs

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has resulted in high operational costs and created a significant barrier to entry ...
Forbes

AI Infrastructure Evolution: How Better Hardware Powers The LLM Era

The launch of ChatGPT in November 2022 marked the beginning of a new chapter in AI. Most of the industry’s attention had focused on the training of increasingly larger models to improve accuracy. The ...
CoinTelegraph

Centralized data infrastructure violates Web3’s core of decentralization

Open data must transition to decentralized infrastructure to realize its full potential and reap the benefits of affordable LLM training, accessible research data sharing and unstoppable DApp hosting.