Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...
TENCENT Hunyuan announced that its HPC-Ops inference operator library has undergone a system-level upgrade, evolving from standalone operators into a comprehensive optimization sui... TENCENT Hunyuan ...
A new technical paper, “Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference,” was published by the Georgia Institute of Technology. “Large-scale machine learning workloads increasingly ...
SAN FRANCISCO--(BUSINESS WIRE)--Novita AI, a leading global AI cloud platform, is thrilled to announce a strategic partnership with vLLM, the leading open-source inference engine for large language ...
XDA Developers on MSN
Most people use Ollama or Llama.cpp for local LLMs, but these are the tools I switch to when it gets serious
There's a whole world of tools to launch local LLMs out there, and these are some of the best.
No GPU fleet runs at full capacity around the clock. InferenceSense™ automatically fills idle cycles with paid AI inference workloads—and shares the revenue with you. SAN FRANCISCO--(BUSINESS ...
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