Tech Times

NVIDIA Diffusion LLM Hits 2.42x Throughput Without Retraining: Nemotron TwoTower Released

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
Developer Tech

NVIDIA: DFlash block diffusion accelerates autoregressive LLMs

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
VentureBeat

Beyond GPT architecture: Why Google's Diffusion approach could reshape LLM deployment

Last month, along with a comprehensive suite of new AI tools and innovations, Google DeepMind unveiled Gemini Diffusion. This experimental research model uses a diffusion-based approach to generate ...
Geeky Gadgets

Diffusion LLMs Arrive : Is This the End of Transformer Large Language Models (LLMs)?

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...
Forbes

Generative AI Gets Shaken Up By Newly Announced Text-Producing Diffusion LLMs

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I explore the exciting news that an ...
VentureBeat

30 seconds vs. 3: The d1 reasoning framework that’s slashing AI response times

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers from UCLA and Meta AI have ...
EDN

The hidden bottleneck in LLM inference and the impact on MLPerf benchmarking

Recent frontier LLM inference benchmarks have highlighted a recurring pattern. GPU-based systems deliver outstanding throughput when latency is not a concern, but their performance drops sharply once ...