Hottest models, tuned
DeepSeek-V3.2 · Kimi-2.6
and many more, out of the box
up to
Throughput vs vLLM
same model, same GPU
OpenAI API compatible
Drop-in /v1 server
zero client code changes
Two ways to run it
LLMBoost Hub fastest
One CLI that pulls the image, downloads the model, and serves it.
lbh serve deepseek-ai/DeepSeek-V3.2
Manual full control
Prefer to manage the container yourself? Run the LLMBoost image directly with docker run for full control over flags, mounts, and devices.
Built for production
Auto-tuned for your box
Parallelism, batching, and memory tuned to your exact GPU. No knob-twiddling.
Scales across GPUs
Serve a model across multiple GPUs on a single node — tensor and data parallel.
Streaming & multimodal
Token-by-token streaming, structured outputs, tool calls, vision models.
AMD Instinct
Tuned for AMD Instinct MI300X / MI325X / MI355X.
Deploy your first model in one command.
Free trial license. No infra changes. Keep your data on your own GPUs.