[ COMPUTE ]

The right silicon,
on power that never blinks.

Most clouds make you choose between availability and performance. We don't — because the thing that constrains everyone else, power, is the thing we own. Run NVIDIA, Cerebras, or both, on behind-the-meter capacity.


NVIDIA HGX B200 8-GPU baseboard
[ NVIDIA ]

For training and dense inference.

H100 / H200 / B200 at launch, GB200 as allocation opens. Built to NVIDIA reference-architecture practices: InfiniBand fabric, 8-GPU nodes, non-blocking topology. On-demand or reserved, bare-metal or orchestrated with Kubernetes or Slurm.

Run fit-check →
Cerebras CS-3 system
[ CEREBRAS ]

For the fastest tokens on earth.

Wafer-scale compute for the lowest-latency inference available — ideal for real-time and agentic workloads. Very few clouds offer Cerebras alongside NVIDIA. We run both on one network.

Run fit-check →

One network. One bill. One power source you can trust.

Choose NVIDIA, Cerebras, or both — on independent power that never waits for the grid.


[ SERVICE MODELS ]

Pick the shape of compute that fits.

Bare-metal

Full hardware, maximum isolation and performance. Best for HPC and security-sensitive workloads.

Cluster

Orchestrated multi-node for distributed training and inference. Kubernetes and Slurm supported.

VM / instance

Right-sized on-demand compute. Spin up by the hour, tear down when done.

Inference endpoint

Managed model serving on Cerebras and NVIDIA. Per-token billing.


[ REFERENCE WORKLOADS ]

The right silicon for the job.

Pick the platform by workload. We'll help you benchmark before you commit.

Workload
NVIDIA
Cerebras
From
LLM training (70B, continued pretrain)
H100 8-way
CS-3 dedicated
from $2.40/GPU-hr
Real-time inference (<50ms p99)
H200
CS-3 (fastest)
from $0.04/1K tokens
Fine-tuning (7B, LoRA)
H100
CS-3 (preferred)
from $1.20/GPU-hr
Batch embedding (large corpus)
L40S preferred
from $0.60/GPU-hr

[ FAQ ]

Compute questions.

01How fast can I get GPUs online vs. a hyperscaler waitlist?
From signed reservation to running, typical onboarding is days — not the 6-12 months typical of major hubs. The power is already there.
02What NVIDIA and Cerebras models do you run?
NVIDIA H100, H200, and B200 at launch, with GB200 racks as allocation opens. Cerebras wafer-scale systems for fastest-inference workloads. Multi-vendor evaluation track open for Phase 2/3 — including AMD Instinct MI455X-class (Helios) inference as ROCm serving and OEM availability mature. Bare-metal or orchestrated.
03Can I reserve a dedicated cluster?
Yes — monthly or annual reserved clusters, with early-partner pricing during the build phase. Discounted launch capacity available to design partners.
04What's the contract minimum?
On-demand has no minimum. Reserved clusters are typically 12-month terms. Colo starts at 100kW.
05Do you offer spot / preemptible instances?
Yes — preemptible NVIDIA instances at significant discounts, suitable for fault-tolerant training jobs.

Reserve your compute.