Global Infrastructure
8 regions. 12,000+ GPUs. Private fiber backbone. Every inference request hits the nearest cluster with sub-50ms latency, automatic failover, and zero cold starts.
Regions
Network
Dedicated 400Gbps links between regions. Model weights pre-replicated across all clusters. Zero cold starts, automatic failover, intelligent request routing.
Architecture
Every API request traverses five layers before hitting a GPU. Each layer adds reliability, not latency.
GPU Fleet
Not a general-purpose cloud. Every GPU is configured, cooled, and interconnected specifically for large language model inference at scale.
| Accelerator | Memory | Interconnect | Throughput | Use Case |
|---|---|---|---|---|
| NVIDIA H100 SXM5 | 80 GB HBM3 | NVLink 4.0 (900 GB/s) | 3,958 TFLOPS FP8 | Flagship LLMs, 70B+ parameter models, batch inference |
| NVIDIA H100 NVL | 94 GB HBM3 | NVLink Bridge (600 GB/s) | 3,958 TFLOPS FP8 | Multi-GPU inference, long-context models |
| NVIDIA A100 80GB | 80 GB HBM2e | NVLink 3.0 (600 GB/s) | 624 TFLOPS FP8 | General inference, embedding, fine-tuning |
| NVIDIA L40S | 48 GB GDDR6X | PCIe Gen4 x16 | 733 TFLOPS FP8 | Vision models, image generation, multimodal |
| NVIDIA A10G | 24 GB GDDR6X | PCIe Gen4 x16 | 250 TFLOPS FP8 | Small models, voice, embedding, edge inference |
Custom silicon partnerships in development. See roadmap →
Performance
Measured p50 latency from edge PoP to first token. Smart routing picks the fastest path automatically.
Compliance
Every request stays in-region unless you explicitly configure cross-region routing. Your data never leaves the jurisdiction you choose.
Facilities
Start with pay-as-you-go. Scale to dedicated clusters. No infrastructure management, no GPU procurement headaches.