Now reserving.

Lock in launch pricing
[ 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 ]

For training and dense inference.

H100 / H200 / B200 / GB200 [confirm fleet]. Deployed to the NVIDIA Cloud Partner reference architecture [pursuing NCP status — confirm before claiming]. On-demand or reserved, bare-metal or orchestrated with Kubernetes or Slurm.

Reserve NVIDIA →
[ 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.

Reserve Cerebras →

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 / B200 / GB200 [confirm fleet before publishing exact mix]. Cerebras wafer-scale systems for fastest-inference workloads. 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.