S

Sesterce Tech Stack

GPU infrastructure and HPC clusters for AI workloads at scale

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

Sesterce operates high-performance GPU clusters ranging from 100 to 15,000 GPUs, built on Kubernetes + Docker across AWS, GCP, and Azure. The tech stack reveals a production-grade infrastructure play: orchestration, multi-cloud networking (InfiniBand, Ethernet, Cisco/Arista/Juniper), and ML frameworks (TensorFlow, PyTorch, scikit-learn). The company is actively designing new datacenters and optimizing energy efficiency — their pain-point pattern (expanding HPC globally, scaling architecture, datacenter acquisition costs) signals they're building toward European capacity while managing unit economics.

Tech Stack 40 technologies

Core StackKubernetes Docker AWS Python Jenkins GitLab CI/CD Linux VMware Hyper-V Terraform Ansible Cisco Java Scala TensorFlow PyTorch scikit-learn GCP Azure Bash GPU InfiniBand Ethernet PowerPoint Excel Windows Cumulus Junos OS Arista Juniper+10 more

What Sesterce Is Building

◆Challenges

Expanding hpc infrastructure globally
Energy efficiency optimization of hpc clusters
Scalable architecture design for ai workloads
Optimizing data center acquisition costs
Optimizing financial strategy
Secure documents and control access
Maintaining high-performance computing infrastructure
Expanding datacenter capacity
High availability
Scalability and performance

▲Active Projects

Design and deployment of ai & hpc architectures
Optimization of hpc cluster energy efficiency
Expanding data center footprint
Optimizing data center acquisition costs
Design and deployment of new datacenters
Commercialization of datacenter services
Building europe's largest hpc
Optimizing hpc performance
Automating deployment pipelines

Hiring Activity

Minimal15 roles · 1 in 30d

Department

Engineering

7

Ops

3

Finance

1

Sales

1

Seniority

Senior

7

Mid

4

Junior

1

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About Sesterce

Sesterce provides managed GPU infrastructure and HPC clusters for AI builders, with deployments scaling from 100 to 15,000 GPUs. The company operates datacenters primarily in France and is pursuing expansion across Europe. Services include flexible cloud and cluster solutions, with active projects spanning datacenter design, deployment, energy optimization, and commercialization. The organization is engineering-focused (7 senior and mid-level engineers) with ops, finance, and sales functions — typical of an infrastructure-as-a-service startup managing complex hardware and multi-tenant workloads.

HeadquartersMarseille, Provence-Alpes-Côte d'Azur

Company Size11–50 employees

Founded2018

Hiring MarketsFrance

Frequently Asked Questions

What tech stack does Sesterce use?

Kubernetes, Docker, AWS/GCP/Azure, Python, Jenkins, GitLab CI/CD, Terraform, Ansible, TensorFlow, PyTorch, InfiniBand, Ethernet, Cisco/Arista/Juniper networking.

What is Sesterce working on?

HPC cluster optimization, datacenter expansion and acquisition, energy efficiency, deployment automation, and commercialization of GPU infrastructure services across Europe.