Alluxio Partners with vLLM Production Stack to Accelerate LLM Inference
"Partnering with Alluxio allows us to push the boundaries of LLM inference efficiency," said Junchen Jiang, Head of LMCache Lab at the University of Chicago. "By combining our strengths, we are ...
Chain-of-experts (CoE): A lower-cost LLM framework that increases efficiency and accuracy
Chain-of-experts chains LLM experts in a sequence, outperforming mixture-of-experts (MoE) with lower memory and compute costs.
New technique helps LLMs rein in CoT lengths, optimizing reasoning without exploding compute costs
Carnegie Mellon University researchers propose a new LLM training technique that gives developers more control over chain-of-thought length.
Pliops Announces Collaboration with vLLM Production Stack to Enhance LLM Inference Performance
Pliops contributes its expertise in shared storage and efficient vLLM cache offloading, while LMCache Lab brings a robust scalability framework for multiple instance execution. The combined solution ...
Network World21h
IBM broadens access to Nvidia technology for enterprise AI
New collaborations between IBM and Nvidia have yielded a content-aware storage capability for IBM’s hybrid cloud ...
BetaKit7d
Cohere says Command A model edges out LLM competition in speed and energy efficiency
Canada’s leading large-language model (LLM) developer Cohere has unveiled its new Command A model, which the company claims ...
John Snow Labs Introduces First Commercially Available Medical Reasoning LLM at NVIDIA GTC
The model was trained using a recipe inspired by that of deepseek-r1 [3], introducing self-reflection capabilities through reinforcement learning. Developed with NVIDIA tools, the company is releasing ...
AI21 debuts Maestro AI planning and orchestration system
AI21’s newly debuted Maestro platform is designed to address challenge. The platform, which is described as an AI planning ...