AINewsnow

vLLM vs TensorRT-LLM: Blackwell FP4 Quantization, Serving Throughput, and Concurrency Showdown

The high-performance serving showdown between vLLM and TensorRT-LLM represents the defining technological contest in enterprise foundation model deployment: flexible, open-source dynamic scheduling versus hardware-fused, compiler-optimized inference kernels. With the emergence of NVIDIA Blackwell a…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-11-04 15:01 · DEV Community — Machine Learning
    vLLM vs TensorRT-LLM: Blackwell FP4 Quantization, Serving Throughput, and Concurrency Showdown

More stories

  1. AI inference startup Fal raises $1.3B at $16B valuation in Bessemer-led round — Bloomberg AI
  2. AMD forecasts quarterly revenue above estimates on AI data-center demand — Reuters AI
  3. Report details how Nvidia uses soft power to influence customers and US chip policy — Techmeme
  4. Supermicro to build and sell AI inference systems pairing SambaNova SN50 chips with Nvidia GPUs — SambaNova Blog
  5. Chinese AI firms' $70B Nvidia GPU orders face severe supply shortfall — Techmeme
  6. Cities Worldwide Build and Scale AI Services With NVIDIA Physical and Agentic AI — NVIDIA Blog
  7. Microsoft and NVIDIA launch Frontier Launchpad to boost next wave of AI-focused software firms across UK & Ireland — Microsoft Research Blog
  8. LiveX Unveils AI City - Bringing Physical AI to Everyday Spaces with NVIDIA — VentureBeat AI

Get the daily brief of stories like this at 6:30 every morning →