Semiconductor Engineering

Pooling CPU Memory for LLM Inference With Lower Latency and Higher Throughput (UC Berkeley)

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...
InfoWorld

Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...
SiliconANGLE

Akamai distributes AI inference across the globe, promising lower latency and higher throughput

Akamai Technologies Inc. is expanding its developer-focused cloud infrastructure platform with the launch of Akamai Cloud Inference, a highly distributed foundation for running large language models ...
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 ...
Semiconductor Engineering

LLM Inference on GPUs (Intel)

“Transformer based Large Language Models (LLMs) have been widely used in many fields, and the efficiency of LLM inference becomes hot topic in real applications. However, LLMs are usually ...
dbta

Deci Unveils Latest LLM, Sets New Benchmarks in Accuracy

Deci, the deep learning company harnessing AI to build AI, is adding a large language model, DeciLM-7B, to its suite of innovative generative AI models—setting new benchmarks in accuracy and ...
Business Wire

Inception Launches Mercury 2, the Fastest Reasoning LLM — 5x Faster Than Leading Speed-Optimized LLMs, with Dramatically Lower Inference Cost

PALO ALTO, Calif.--(BUSINESS WIRE)--Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and ...