Berkeley/MIT Open Source Inference Engine: RTX 5090 Runs 284B Models at 25 tok/s
gnukeith · x · 2026-08-22
Researchers from UC Berkeley and MIT open-sourced a new inference engine with crazy performance. It runs the 284B DeepSeek-V4-Flash model at 25 tok/s on an RTX 5090 system, which is 1.46x faster than llama.cpp on the same test, while Ollama fails to serve it. On the Qwen3.6-35B benchmark, it is up to 3x faster than Ollama.
More from Infra
- Fluidstack hires Electrical Engineer for Modular R&D to build frontier AI infrastructure — MxMnr · 2026-10-16
- Fluidstack's Modular team moves data center construction from field to factory for AI buildout — MxMnr · 2026-10-16
- Jensen Huang joins BG2 podcast: does AI revenue justify capex, '27 bottlenecks — elonmusk · 2026-10-16
- Mistral's on-device infra rack revealed: DGX Spark, Mac Studio and more — gregmushen · 2026-10-16
- NVIDIA and Sweden's Wallenberg launch Sferical One, a shared AI supercomputer — nvidia · 2026-10-16
- Next infra frontier: self-evolving systems that adapt and self-verify — _shreya_s · 2026-10-16