GPU Servers
NVIDIA A100, H100 and L40S for AI, ML and rendering.
Bare metal servers loaded with NVIDIA datacenter GPUs — from a single L40S for inference to 8× H100 SXM5 nodes with NVLink for large-model training. NVMe scratch, InfiniBand fabric and ready-to-run CUDA / PyTorch images.
What you get
A100 / H100 / L40S
Datacenter-grade NVIDIA GPUs, single or multi-GPU.
InfiniBand fabric
200/400 Gbps RDMA for multi-node training.
NVMe scratch
Local NVMe for hot datasets and checkpoints.
ML-ready images
CUDA, PyTorch, JAX, vLLM preinstalled.
Multi-tenant Slurm
Optional Slurm scheduler for shared clusters.
GPU monitoring
Per-GPU utilization, temp and ECC dashboards.
Our process
Workload sizing
Model size, batch, throughput targets.
Provision
Single node or multi-node fabric.
Stack
Drivers, CUDA, frameworks, schedulers.
Operate
Monitoring, scaling, scheduled jobs.
Deliverables
- GPU node(s)
- InfiniBand fabric
- ML environment
- Monitoring
- Scheduler (optional)
Tech stack
Engagement packages
Frequently asked questions
H100 availability?
Reserved capacity available with 2–4 week lead time; spot inventory varies.
Can I bring my own AMI / image?
Yes — custom images, container registries and IaC all supported.
Ready to build something remarkable?
Tell us where you want to go. We'll come back within 24 hours with a roadmap, timeline and quote.