The question is, if an LLM is allowed to use a fixed amount of inference-time compute, how can you get the best performance through different inference methods and how well will it perform ...

Early tests by Google Cloud using llm-d show 2x improvements in time-to-first-token for use cases like code completion, ...

They have increased the performance of Llama 70B from 400 tokens per second to 2,200 t/s in just a little over three months. And while Blackwell will increase inference performance by four fold ...

Solutions to Help Organizations Deliver High Performing and Secure AI and LLM Inference Environments. SAN JOSE, Calif., May ...

Apple’s benchmarks show that this method generates ... ReDrafter extends its impact by enabling faster LLM inference on Nvidia GPUs widely used in production environments. To accommodate ...

Developed with SGLang, Atlas Inference surpasses leading AI companies in throughput and cost, running DeepSeek V3 & R1 faster ...

NVIDIA has announced that they have broken yet another new record on Meta's Llama 4 Maverick 4B model through the power of Blackwell servers.

This release follows Sarvam's selection by the Indian government to build a sovereign LLM under the IndiaAI Mission, marking ...

Novita AI is also collaborating on SGLang's large-scale expert parallelism project, an open-source implementation designed to approach the throughput benchmarks detailed in the official DeepSeek blog, ...

simply due to having enough performance for it to work. After checking out the llama2.c project to implement the Llama2 LLM inference with a single vanilla C file and no accelerators, Rossignol ...