Sesterce vs Spheron

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

Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider

Instances are billed by the minute rather than rounded up to the hour, past a 20-minute minimum runtime (60 minutes for a 2x AMD MI300X)

NVIDIA instances are typically ready in under two minutes with no approval workflow or provisioning queue

Compute spend across every connected provider is tracked in a single dashboard

Each VM or bare metal instance includes NVMe SSD storage, network bandwidth and full root access, with a dedicated IP on NVIDIA instances

Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours