SOVEREIGN AI
NVIDIA HGX H200
Accelerate the development and deployment of your AI models and HPC workloads with the power of NVIDIA HGX H200 instances, within a sovereign Cloud environment certified as SecNumCloud by ANSSI.
From experimentation to the industrialization of your AI projects
Give your teams the power they need to develop, train, and deploy demanding artificial intelligence applications, while retaining full control over your data and intellectual property.
Quickly access GPU power
Deploy NVIDIA HGX H200 instances in just a few minutes. Free yourself from hardware procurement constraints and installation delays so you can immediately run your most complex AI and high-performance computing (HPC) workloads.
Move from POC to Production
Integrate your GPU resources into your cloud-native environments and automate their deployment using standard tools such as Kubernetes, Terraform, and CLI. Your teams can provision, orchestrate, and scale resources according to the needs of their workloads, accelerating the transition from experimentation to production.
Harness the power of NVIDIA HGX H200
Accelerate the training and inference of your generative AI models with the NVIDIA HGX H200 architecture. An eight-GPU HGX H200 configuration offers up to 1.1 TB of aggregated HBM memory and over 32 petaflops of FP8 compute, meeting the demands of the most challenging models and applications.
Protect your data and intellectual property
Deploy your AI workloads in a sovereign Cloud environment, qualified SecNumCloud 3.2 by ANSSI and certified ISO 27001, ISO 27017, ISO 27018, HDS, TISAX, and SOC 2 Type 2.
A trusted environment for your sensitive data
Designed to meet the requirements of organizations that need to control the location of their data, protect themselves against extraterritorial laws, and secure their data and intellectual property.
NVIDIA HGX H200 GPU Specifications
Each HGX H200 node integrates 8 NVIDIA Hopper GPUs interconnected via 4th-generation NVLink, delivering exceptional performance for AI and HPC workloads.
1,1 To
HBM3e memory per node
4,8 To/s
Memory bandwidth per GPU
900 Go/s
GPU-to-GPU NVLink
7,2 To/s
Total per node
0,4 Tb/s
Network bandwidth per node
Industry use cases for NVIDIA HGX H200 GPUs
Public sector
Process massive volumes of citizen requests, archives, and administrative correspondence using language models hosted in France and designed to address challenges related to sovereignty, the protection of sensitive data, and control over risks associated with extraterritorial legislation.
Financial services
Train and operate models for fraud detection, risk analysis, scoring, or compliance on infrastructure located in France, meeting the sector’s digital resilience requirements (DORA) and ACPR oversight standards.
Healthcare
Develop diagnostic support and clinical research models on infrastructure certified as a Health Data Hosting provider (HDS).
Defense and sensitive industries
Run critical AI workloads in an environment designed to strengthen control over data, access, infrastructure, and jurisdictional dependencies.
FAQ
What is the NVIDIA HGX H200 ?
The NVIDIA HGX H200 is an 8‑GPU server platform based on the Hopper architecture. It is the first NVIDIA platform equipped with HBM3e memory, specifically designed for generative AI, large language models (LLMs), and compute‑intensive HPC workloads.
What are the benefits of having 8 H200 GPUs per node ?
An 8-GPU configuration aggregates 1.1 TB of HBM3e memory within a single node, with ultra-fast GPU-to-GPU communication via NVLink at 900 GB/s. This reduces communication bottlenecks and improves performance for distributed training, fine-tuning, and large-scale inference.
For which use cases is the NVIDIA HGX H200 particularly well suited ?
A node equipped with 8 H200 GPUs is specifically designed for large-scale AI projects, such as training and fine-tuning large language models (LLMs), as well as multimodal generative AI.