Approaching.ai Brings in Top Scientists to Capture AI’s Inference Boom

Approaching.ai is a large-model inference optimization company helping enterprises deploy AI at lower cost and with greater ...
TMCnet

ZEDEDA Unveils the Industry's First Edge Intelligence Platform to Create, Secure and Operate Edge & Physical AI at Scale

The first capabilities in ZEDEDA Edge Intelligence Platform is Edge Inference Services, which enables organizations to deploy ...
Business Wire

MangoBoost Launches Mango LLMBoost™: AI Inference Optimization Software with Up to 12.6x Relative Performance Improvement and 92% Cost Savings

BELLEVUE, Wash.--(BUSINESS WIRE)--MangoBoost, a provider of cutting-edge system solutions designed to maximize AI data center efficiency, is announcing the launch of Mango LLMBoost™, system ...
VentureBeat

Together AI's ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

AWS And Microsoft Are Borrowing What Google Already Built

AWS partnered with Cerebras. Microsoft licensed Fireworks. Google built Ironwood. One week of announcements reveals who ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
New Atlas

Next-level AI engine comes top in LLM speed showdown

Responses to AI chat prompts not snappy enough? California-based generative AI company Groq has a super quick solution in its LPU Inference Engine, which has recently outperformed all contenders in ...

The team behind continuous batching says your idle GPUs should be running inference, not sitting dark

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching ...
Semiconductor Engineering

HW-SW Co-Designed System With 3 Core Optimization Pathways For Long-Context Agentic LLM Inference (Cambridge, ICL)

A new technical paper titled “Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, Imperial College London ...