Deep Infra vs Sesterce

OpenAI-compatible API for 100+ models including DeepSeek, Qwen, Llama 4, Claude, and Gemini families with autoscaling

B200 instances with SSH access spin up in about 10 seconds and bill hourly

Deploy your own Hugging Face models onto dedicated A100, H100, H200, B200, or B300 GPUs

Published per-GPU hourly rates for A100, H100, H200, B200, and B300 with competitive pricing

Runs on its own inference-optimized hardware in US-based data centers rather than rented capacity

Support for text generation, vision and OCR, embeddings and reranking, image, video and music generation, and speech recognition and synthesis

Each site is operated as a single system, owning the hand-off between energy, facility, silicon, network fabric, and orchestration

French sites offering data residency, controlled energy origin, and supply-chain control, drawing on 2 GW of hydro, nuclear, and solar capacity secured under long-term PPAs

A joint venture with SoftBank Group to develop a 1 GW AI data center campus at Bosquel in Hauts-de-France

Single console and API to provision clusters, orchestrate training, serve inference, and meter usage across every Sesterce site, Slurm and Kubernetes native

Purpose-built Tier III+ facilities with direct-to-chip liquid cooling at up to 150 kW per rack, rated at PUE 1.12 under full AI load

Non-blocking NVIDIA Quantum InfiniBand at 800 Gb/s with rail-optimized topology and native RDMA