Meridian Compute
GPU infrastructure for ML teams
High-performance compute,
cloud simplicity
Run and scale AI workloads on bare-metal-level GPU instances - from a single GPU to thousand-GPU clusters - or serve models on production inference endpoints. One platform, predictable pricing, no cluster wrangling.
Runs with your stack
Why Meridian
Supercomputer performance, without the ops team
Bare-metal level performance
No GPU or network virtualization - up to 20% higher system MFU than comparative benchmarks, so you need less infrastructure for the same result.
Resilient from the start
Automated health checks and node lifecycle management mean 50% fewer interruptions per day across your fleet.
Developer first
OpenAI-compatible API, a real CLI, and docs that get you from signup to first request in minutes.
GPU lineup
Accelerated compute, powered by NVIDIA
Rack-scale GB300 NVL72 for frontier training, Blackwell and Hopper HGX nodes for large-scale workloads, and CPU instances for the rest of your pipeline.
- GB300 NVL72
- HGX B200
- HGX H200
- HGX H100
- CPU instances
Getting started
Launch your first GPU instance from the quickstart, or talk to our team about capacity and reserved pricing.