Capacity on demand
Ask for what the work requires — a single accelerator or a dedicated estate. It is yours for exactly as long as you need it, and not a minute longer.
Bare-metal NVIDIA H100, A100, B200, and GB200 NVL — at 40% lower TCO than the hyperscalers. From a single H100 to 100,000-GPU NVLink domains. Provision in under five minutes and pay by the second.
Spin up your first H100, A100, or B200 box and run your first job today.
Every serious ambition now runs on accelerated computing. Discovery, diagnosis, design, defence, logistics, finance — the frontier of each is a compute problem wearing a different name.
Which means the organisations that win are not the ones with the best ideas. They are the ones whose ideas never sit in a queue.
From asking to working
No tiers to decode, no entitlements to negotiate, no architecture to learn before you can start.
Ask for what the work requires — a single accelerator or a dedicated estate. It is yours for exactly as long as you need it, and not a minute longer.
Grow by orders of magnitude without a new contract, a new vendor, or a new conversation. The ceiling moves when you do.
Know what the work will cost before you commit to it, and watch that number hold. Set a ceiling and it is honoured — no reconciliation surprises.
Capacity arrives ready, monitored, and accounted for. Your engineers spend their attention on the problem instead of the plumbing beneath it.
One place to see everything running, everything spent, and everything scheduled — across every region, every team, and every workload you operate.
Engineers who have run work at this scale before, reachable in minutes, every hour of every day — including the ones you would rather not be awake for.
Pick the shape of your work. The commitments underneath it do not change.
Long runs finish when they should. Capacity holds for the full duration, interruptions are something we absorb rather than something you plan around, and the run you started is the run that completes.
Every commitment below is contractual, measured, and reported. None of them are aspirations.
Measured monthly, reported openly, and backed by service credits large enough that we feel them before you do.
Capacity is allocated and working before a status meeting could finish discussing whether to ask for it.
A named engineer engaged on a critical issue within fifteen minutes — every day of the year, including the ones nobody wants to be on call for.
The ceiling you set is the ceiling we honour. Every charge traces back to something you explicitly asked for.
Regulated, classified, and clinical work runs here. The controls that make that possible are the same ones protecting everyone else.
Your work runs in an environment that is yours. Separation is the starting condition, not an upgrade you discover you needed after an incident.
Name the jurisdictions your work and data may occupy. That choice is enforced by the platform rather than recommended in a policy document.
Every action on your account is recorded, attributable to a person, and exportable — so an audit is a report you run, not a project you staff.
Continuity is exercised continuously rather than assumed annually. We design for degradation long before a region gives us a reason to.
Controls are designed and operated against these frameworks. Current attestation reports are available under mutual NDA.
Teams arrive wanting capacity. What they keep is the absence of a constraint they had stopped noticing — the quiet tax of deciding which work is worth the hardware.
Once that tax is gone, roadmaps get more ambitious, not just faster. The question stops being whether you can afford to try, and becomes which thing to try first.
One control surface
The commitments are identical. What changes is the shape of the work they support.
Create an account and put real work on real capacity in the next few minutes. Or talk to an engineer first — either way, nobody is going to make you sit through a procurement cycle.