ZML/LLMD 20260929.0
DeepSeek-V4.1-Flash lands on NVIDIA and AMD.
We’re happy to announce the release of zml/llmd 20260929.0, which notably brings deepseek-ai/DeepSeek-V4.1-Flash support on NVIDIA and AMD GPUs.
DeepSeek-V4.1-Flash lands on NVIDIA and AMD.
We’re happy to announce the release of zml/llmd 20260929.0, which notably brings deepseek-ai/DeepSeek-V4.1-Flash support on NVIDIA and AMD GPUs.
Poolside's open-weight model for agentic coding and long-horizon work.
In close collaboration with Poolside, we’re happy to announce the support of Laguna S 2.1, their new open-weight model for agentic coding and long-horizon work.
The universal LLM server.
Today we’re releasing ZML/LLMD. It’s a self-contained inference server that runs LLaMa, Gemma, Qwen and Mistral LLMs transparently on 5 architectures: NVIDIA CUDA, AMD ROCm, Google TPU, Intel oneAPI and Apple Metal.
Integrating with the IREE tokenizer for a 10x uplift in tokenization performance.
Today we merged a pretty nice performance improvement to ZML.
A universal diagnostic and monitoring tool for GPUs, TPUs and NPUs.
zml-smi is a universal diagnostic and monitoring tool for GPUs, TPUs and NPUs. It provides real-time insights into the performance and health of your hardware.
Frontier performance through composability.
ZML is an inference stack built close to the hardware. It lowers models directly onto NVIDIA, AMD, TPU, and Trainium targets from a single codebase, without depending on and suffering from the Python-heavy runtime layers that most of the ecosystem is built around.