Dedicated AI infrastructure, deployed and operated by Nestor.
Nestor works with AI teams whose workloads have outgrown self-serve clouds. We scope, deploy, and operate dedicated GPU environments for inference, training, fine-tuning, and RL — handling capacity, orchestration, networking, storage, and monitoring so your team stays on models, data, and product.
- Capacity reserved8× H200 · region us-east
- Drivers configuredCUDA 12.6 · NCCL 2.21
- Cluster onlineslurm · 8 nodes · healthy
- Monitoring activegpu · node · job
- Support channel openshared · 1 business day
Rent the machines, or rent the endpoint.
Dedicated GPUs, nodes, and clusters — provisioned with our base stack and operated by Nestor. You run the workload; we run the infrastructure.
Bring a model or a container. We serve it from a private endpoint on dedicated GPUs and operate everything underneath.
Currently operating dedicated AI infrastructure for:
Dedicated H100 SXM fleet for a US-based AI infrastructure company — provisioned, monitored, and operated by Nestor, including the managed inference serving layer and incident response.
Dedicated GPU environments for academic ML research — training and fine-tuning capacity with direct operator support.
Who operates Nestor
Running something a self-serve cloud can't hold?
Nestor is onboarding selected AI teams in private beta. Tell us what you're trying to run — we'll follow up within one business day.