Sesterce

What's good about Sesterce

• Broad on-demand catalog running from Blackwell B300 and H200 down to previous-generation NVIDIA cards, plus Intel Gaudi 2
• On-demand, spot, and reserved billing modes on the same clusters
• VM and bare-metal deployment with single- and multi-GPU (up to 8x) configurations
• AI factory capacity at French sites, with hydro, nuclear, and solar energy under long-term PPAs
• Slurm- and Kubernetes-native orchestration with rack-, node-, and GPU-level telemetry
• API- and CLI-first, with a published REST API reference

Sesterce GPU prices

19 GPU models across 63 configurations. Rank compares Sesterce's cheapest on-demand listing for each GPU with every provider's cheapest.

What a run costs on Sesterce

24 hours at today's cheapest listing for each GPU, at the size it is listed.

• 1× H100 SXM for 24 hours

  Zone 2 at $2.19/GPU-hr

  $52.54

  $26.18 under the market median rate

• 8× H200 SXM for 24 hours

  Zone 22 at $4.40/GPU-hr

  $844.80

  $6.72 under the market median rate

• 8× A100 SXM 80GB for 24 hours

  Zone 22 at $1.49/GPU-hr

  $285.12

  $21.12 under the market median rate

The market median is every provider's cheapest on-demand price for that GPU.

Billing & terms

On-Demand

Pay-per-second usage with no commitment on VMs and bare-metal servers

Spot

Discounted interruptible capacity, filterable as a spot offer in the compute catalog

Reserved Capacity

Committed multi-megawatt cluster capacity contracted for frontier-scale workloads

Credit-based Billing

Pre-funded account balance system for streamlined resource management

Regions

AI factory sites at Bosquel (Hauts-de-France) and Valence, plus a Paris cloud region hosted at Equinix; the self-serve on-demand catalog lists regions across North America, Europe and Asia-Pacific

Support

Documentation and API reference, self-service console with help and requests, REST API and CLI, contact sales for reserved capacity

Watch out for

• On-demand instances run in regions across North America, Europe and Asia-Pacific, so a self-serve instance is not necessarily hosted in France
• Rack-scale GB300 NVL72 and B200 capacity is contracted as reserved AI factory capacity rather than sold from the self-serve catalog
• The newest and largest accelerators (B300, H200, Gaudi 2) are only sold as 8-GPU nodes, with no smaller self-serve size
• Public documentation lags the console: it omits several GPU types the compute page offers and its own pricing table has not been updated in about a year
• Credit-based billing requires pre-funded balance

Features

Vertically Integrated AI Factories

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

Sovereign European Infrastructure

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

SoftBank Joint Venture at Bosquel

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

Sesterce OS Control Plane

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

High-Density Liquid Cooling

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

InfiniBand Fabric

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

Zero-Touch Provisioning

Dedicated clusters go from signed contract to live hardware in under 2 hours, with single-tenant hardware, network, and storage

API and CLI First

Launch, scale, and destroy clusters from the CLI or REST API; every console action has an API equivalent

Multiple Deployment Options

Choose on-demand VMs, bare-metal servers, or dedicated clusters based on your workload requirements

Services

• Compute

  On-demand VMs and bare-metal servers launched with no commitment

• Clusters

  Dedicated multi-node GPU clusters ranging from around 100 to 15,000 GPUs

• AI Inference

  Managed inference instances for serving models alongside GPU compute

• Storage

  Persistent volumes attachable to compute instances and reusable across runs

Getting started

1. Step 1

   Create Account

   Sign up for Sesterce Cloud platform access

2. Step 2

   Add Credits

   Fund your account with credits for pay-as-you-go billing

3. Step 3

   Launch Instance

   Choose your GPU type and configuration, launch in just a few clicks or via the CLI and API