Java vllm-like framwork claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTile
https://github.com/beehive-lab/TornadoVM https://github.com/beehive-lab/jitllm
Read the full story at r/LocalLLM ↗
More stories
- Qwen3.8-Flash-Next (125B) on a single Strix Halo mini PC: 44-59 tok/s with speculative decoding, ~1,400 tok/s prefill, engine is open — r/LocalLLaMA
- RPC: add `-sm tensor` by am17an · Pull Request #26610 · ggml-org/llama.cpp — r/LocalLLaMA
- SpaceX looks to raise $40bn to buy Nvidia chips — Financial Times AI
- Uncensored models: what they are and how they work, with a file-by-file hash check of one uncensored Qwen3.8-Flash-Next upload against Qwen's original — r/LocalLLM
- Meta's Llama 3.3 70B Now Fits on a Single 48 GB GPU — AlphaSignal
- struggling with llama.cpp 2 x dgx spark mtp files start command (unsloth) — r/LocalLLaMA
- llama.cpp on the stage — r/LocalLLaMA
- Inference Mode + UI Model Swap + Harness stats (Custom OS) — r/LocalLLM
Get the daily brief of stories like this at 6:30 every morning →