Sesterce operates high-performance GPU clusters (100–15,000 GPUs) and datacenters optimized for AI workloads, built on NVIDIA H100s, InfiniBand networking, and Ceph storage. The tech stack reveals infrastructure-grade maturity: Arista/Cisco/Juniper switching, Terraform IaC, Prometheus/Grafana observability, and network automation via Ansible/Nornir/NAPALM. Active projects span datacenter design and buildout, energy efficiency optimization, and network fabric tuning—reflecting the core constraint of running large-scale GPU infrastructure at cost and latency targets.
Sesterce builds and operates GPU-dense datacenters and HPC clusters for AI training and inference workloads. Founded in 2018 and based in Marseille, the company serves AI builders and enterprises requiring flexible, high-performance compute capacity. The infrastructure spans from 100-GPU clusters to 15,000-GPU installations, with emphasis on energy efficiency, low-latency networking, and datacenter scalability. The business model combines hardware deployment with managed cloud and cluster services; recent hiring velocity (3 roles posted in 30 days) is concentrated in engineering and ops, supporting datacenter expansion and service commercialization.
NVIDIA H100s. The infrastructure also includes InfiniBand networking, Ceph storage, and NVMe-oF for low-latency GPU-to-storage connectivity at scale.
Primary focus areas are AI and HPC datacenter design/deployment, energy efficiency optimization of GPU clusters, network fabric tuning for ultra-low latency, datacenter expansion, and commercialization of cluster services to enterprise customers.
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Sesterce's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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