GPU compute, open-source models, and global deployment infrastructure — everything you need to build production AI.
Pick from single B300 NVLink GPUs to 8-node HGX clusters across 6 global regions.
Run top open-source models or bring your own weights — API-ready in minutes.
On-demand or spot pricing as your load grows. No lock-in, pay only for what you use.
192 GB HBM3 · 112 vCPU / 800 GB
192 GB HBM3 · 20 vCPU / 224 GB
141 GB HBM3e · 16 vCPU / 200 GB
Lightweight open-source model with strong reasoning and multilingual capabilities across 128K context.
Flagship model with 1M context, best-in-class at coding, mathematics, and complex reasoning tasks.
Google's open Gemma 4 flagship with 31B parameters and strong multimodal understanding, free to use.
Active Instances
334
GPU Utilization
96%
Response Time
23ms
Global GPU Network_
6 regions · 6 active · 9 availability zones — explore the live map