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This article reports on tests of the DS4 inference engine written in C by @antirez, noting its impressive speed when running a GPT-4o-equivalent model on a MacBook Pro with 128GB of RAM.
Atlas is a pure Rust LLM inference engine that delivers faster inference than vLLM and TensorRT-LLM by customizing CUDA kernels for each hardware × model × quantization combination.
A pull request has been merged into llama.cpp to add support for the Mimo v2.5 model, enhancing the framework's compatibility with this specific AI architecture.
ServiceNow engineers detail their migration from vLLM V0 to V1, focusing on resolving backend correctness issues like logprob semantics and runtime defaults to ensure stable reinforcement learning training dynamics.
Developer wrote a Zig-based LLM inference engine from zero on macOS in 12 hours, boosting Qwen 3.5 0.8B throughput from 15 to 193 tokens per second.