Marketplace

C3 aggregates GPU capacity from multiple data centers. When you submit a job, we find available compute at competitive rates—no need to manage cloud accounts or hunt for capacity yourself.

Available GPUs

GPU	VRAM	Best for
L40	48GB	Training, inference, general-purpose GPU workloads
H100 80GB	80GB	Large model training, high-performance compute
A100 80GB	80GB	Training, mixed-precision workloads
RTX A4000	16GB	Light training, testing, development

Set gpu: in your .c3 config to select a GPU. Run c3 list to see current availability and pricing.

Pricing

Compute

You're billed per second of actual compute time—not for time spent queuing or provisioning. New accounts receive £10 in free credits. Check your balance:

c3 balance

Plans

Every new account starts with a 14-day Pro trial — 100 GB of storage and £10 in compute credits.

Plan	Storage	Price	Best for
Free	1 GB	£0/month	Trying C3, small experiments
Pro	100 GB	£9/month	Regular research, datasets
Max	1 TB	£15/month	Large datasets, heavy workloads

Upgrade anytime:

c3 upgrade pro
c3 upgrade max

When your trial ends, you're moved to the Free plan. Existing data is preserved — you just can't upload more until you upgrade or free up space.

How jobs run

1. PENDING — Job submitted, waiting for a GPU
2. SCHEDULING — Assigning to a machine
3. RUNNING — Your script is executing
4. COMPLETED — Done. Download results with c3 pull
5. SYNCED — Results downloaded locally

Failed or cancelled jobs show as FAILED, CANCELED, or TIMED_OUT.

Warm pool

C3 maintains a pool of pre-provisioned GPUs. Jobs hitting the warm pool start running in ~5-15 seconds instead of waiting 2-5 minutes for cold provisioning.

Path	Allocation	Total Startup
Warm pool	< 1 second	~5-15 seconds
Cold provision	~2-5 minutes	~2-5 minutes

This enables rapid iteration: edit locally, submit, see results quickly, repeat.

Learn more about the warm pool →

Providers

Jobs currently run on Hyperstack. We're onboarding additional providers to increase capacity and reduce prices.