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Sesterce Tech Stack

GPU cluster infrastructure and AI datacenter operator

IT Services and IT Consulting Marseille, Provence-Alpes-Côte d'Azur 11–50 employees Founded 2018 Partnership

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.

Tech Stack 62 technologies

Core StackCisco Python Ansible Grafana Prometheus Terraform Salesforce HubSpot Next.js GPU InfiniBand Arista Juniper Arista EOS Cisco NX-OS Juniper Junos Nornir Netmiko NAPALM Red Hat Enterprise Linux Ubuntu Debian NVIDIA H100 Ceph NFS iSCSI NVMe-oF AlertManager Zabbix Bash+30 more

What Sesterce Is Building

Challenges

  • Energy efficiency optimization of hpc clusters
  • Scalable architecture design for ai workloads
  • Optimizing financial strategy
  • Secure documents and control access
  • Expanding datacenter capacity
  • Optimizing costs and contract terms
  • Expanding data center footprint
  • Ultra-low latency requirements
  • Iso 27001 compliance
  • Data center expansion

Active Projects

  • Design and deployment of ai & hpc architectures
  • Optimization of hpc cluster energy efficiency
  • Design and deployment of new datacenters
  • Commercialization of datacenter services
  • Ai data center network fabric design
  • Network automation scripts development
  • Datacenter buildout projects
  • Building a strategic partner network
  • Market intelligence & strategy

Hiring Activity

Accelerating7 roles · 3 in 30d

Department

Engineering
3
Ops
2
Finance
1
Sales
1

Seniority

Mid
4
Senior
3
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About Sesterce

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.

HeadquartersMarseille, Provence-Alpes-Côte d'Azur
Company Size11–50 employees
Founded2018
Hiring MarketsFrance

Frequently Asked Questions

What GPUs does Sesterce use in their datacenters?

NVIDIA H100s. The infrastructure also includes InfiniBand networking, Ceph storage, and NVMe-oF for low-latency GPU-to-storage connectivity at scale.

What is Sesterce working on?

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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How this profile is built

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 →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.