Use Case
Production inference with guaranteed latency
Deploy inference endpoints on dedicated hardware with contractual latency SLAs, predictable throughput, and capacity that scales with your traffic.
Use Case
Deploy inference endpoints on dedicated hardware with contractual latency SLAs, predictable throughput, and capacity that scales with your traffic.
Every detail of the stack is tuned for AI Inference at Scale.
Dedicated GPUs mean your tokens-per-second never degrade because another tenant spun up a training job next door.
Optimized networking and locally attached NVMe keep time-to-first-token low even under heavy concurrent load.
Scale endpoints up for launch spikes and back down afterward, with reserved baseline capacity always available.
Run vLLM, TensorRT-LLM, Triton, or your own serving framework — we give you the bare metal, you keep full control.
Recommended hardware
Talk to our team about dedicated GPU infrastructure tailored to your AI workloads. We'll scope your requirements and build the cluster to match.