Deep compute for the frontier of AI.
Bare-metal NVIDIA accelerators, managed Kubernetes and Slurm, high-speed storage, and a team of real engineers — everything you need to train, tune, and serve models that push past limits.
Real NVIDIA silicon. Bare metal.
Four tiers of genuine NVIDIA accelerators — from H100 to the Blackwell Ultra B300 — all bare-metal, all yours.
- Memory
- 80 GB HBM3
- FP16
- 989 TFLOPS
- Bandwidth
- 3.35 TB/s
- Memory
- 141 GB HBM3e
- FP16
- 989 TFLOPS
- Bandwidth
- 4.8 TB/s
- Memory
- 192 GB HBM3e
- FP16
- 2.25 PFLOPS
- Bandwidth
- 8 TB/s
- Memory
- 288 GB HBM3e
- FP16
- 3.5 PFLOPS
- Bandwidth
- 8 TB/s
Everything between the silicon and your experiment.
Don't build infrastructure to build models. Provision, orchestrate, observe, and secure — from one console.
Bare-metal servers
Dedicated, single-tenant nodes with zero virtualization overhead. Provisioned in minutes via API, CLI, or console.
Explore →Managed Kubernetes
GPU-aware clusters with autoscaling, topology-aware scheduling, and managed upgrades. You ship pods; we run the plane.
Explore →High-speed storage
Parallel filesystem with multi-TB/s throughput and checkpoint-grade durability. Fast enough that GPUs never wait.
Explore →Observability
Per-GPU telemetry: utilization, thermals, HBM errors, and interconnect health — streamed to your stack in real time.
Explore →Security
Confidential compute, TPM-verified boot, zero-trust networking, and SOC 2-aligned controls across the fleet.
Explore →Expert support
Training engineers on call — distributed setup, kernel tuning, and performance triage, not tier-1 script reading.
Explore →Built for the way modern teams ship AI.
Model training at frontier scale
From a single node to 8,000-GPU fabrics with RDMA networking, elastic checkpoints, and fault-tolerant job recovery.
Learn more → SOLUTION / FINE-TUNINGFine-tuning and RLHF
Short-duration jobs, burst capacity, and per-second billing — tune LoRAs or full models without over-provisioning.
Learn more → SOLUTION / INFERENCELow-latency inference
P99-optimized serving with continuous batching, speculative decoding, and autoscaling down to zero.
Learn more → SOLUTION / ENTERPRISEEnterprise suite
Dedicated fleets, private regions, procurement-friendly terms, and a named engineering pod assigned to your org.
Learn more →From first message to full fabric.
Tell us about the workload
Model size, parallelism, timeline. The more detail, the better the first recommendation.
Get provisioned
Real NVIDIA silicon, bare-metal, dedicated to you. Your OS, your stack, no neighbors.
Run and scale
Managed Kubernetes or Slurm, high-speed storage, and per-GPU telemetry out of the box.
Call an engineer
When an epoch is slow, a human who knows fabrics answers — not a script.
Notes from the fabric.
The HBM bandwidth playbook
Why runs are memory-bound, and how to read HBM error counters before they read you.
Read →What 1,000-GPU training teaches operators
Operational lessons that survive contact with the data center.
Read →The inference latency playbook
P99 math that matters and the checklist before a model earns an endpoint.
Read →Questions we actually get asked.
Which GPUs do you offer?
We run the full current NVIDIA lineup on bare metal: H100 80GB, H200 141GB, B200, and the Blackwell Ultra B300. Each node is single-tenant and dedicated to your workload.
What does "bare-metal" mean here?
No hypervisor, no noisy neighbors. The full silicon — CPU, memory, GPUs, and fabric — belongs to your workload. You bring your own OS and stack, or use our managed Kubernetes and Slurm offerings on top.
Do you offer managed orchestration?
Yes — managed Kubernetes (GPU-aware scheduling, autoscaling) and managed Slurm (takeover, fair-share, queues), both on the same bare-metal fleet.
What about storage and networking?
High-speed parallel storage with multi-TB/s throughput, plus RDMA fabrics up to 1.8 TB/s per GPU on B200 nodes.
Can I talk to an engineer before I buy?
Exactly the point — our support and sales are staffed by people who have run training jobs. Reach out via the contact page and a real engineer will reply.
Ready to push the frontier?
Provision bare-metal GPUs in minutes, scale capacity on demand, and get a real engineer on call — not a ticket queue.