From $0.79 per hour, billed per minute
DGX Spark pricing. From $0.79 an hour.
Billed per minute from prepaid credit, with no commitment. Reserve by the month for up to 35% off. USD, excluding applicable tax.
First top-up: pay $10, get $20 in credit.
Compare hourly DGX Spark configurations or the x86 GPUs: an RTX 5090 is rentable now at $0.89 an hour.
DGX Spark rentals
Choose your configuration
Dedicated machines, billed per minute. Check current capacity before deploying.
| Configuration | Memory | Architecture | Hourly rate | Configure rental |
|---|---|---|---|---|
| 1× DGX SparkDedicated single node | 128 GB unified | ARM64 · GB10 | $0.79 / hour | Deploy now 1× DGX Spark |
| 2× DGX SparkLinked cluster | 256 GB across two nodes | ARM64 · linked GB10 | $1.79 / hour | Deploy now 2× DGX Spark |
| DGX Spark 1× (Partner)Same machine type, hosted by an independent partner | 128 GB unified | ARM64 · GB10 | $0.79 / hour | Deploy now DGX Spark 1× (Partner) |
The 2-Spark cluster requires a runtime that supports distributed execution. Its 256 GB is total memory across two nodes, not a single memory pool.
DGX Spark 1× (Partner) is the same machine type, hosted by an independent partner; it only runs your instance if you choose it. Offered while GPUwerk's own DGX Sparks are all in use. Runs on a DGX Spark owned and hosted by a vetted GPUwerk partner at their own premises, which may be outside the EU, not on GPUwerk's own hardware. GPUwerk operates it remotely with a locked OS and wipes it between rentals, but the partner has physical access to the machine. Use public or synthetic data only. No SLA. If the machine is withdrawn, or offline for more than 15 minutes, during your rental, billing stops and the whole rental is credited back to you. After a withdrawal or an outage the workspace is kept for 24 hours so you can copy data off if the machine is reachable, then wiped. Partner hosts as a sub-processor · What a partner host can and cannot access
Long-term rental
Stay longer. Pay less.
Reserve a single Spark or cluster. Choose your configuration and start date on the reservation page. Monthly prices shown are for one Spark.
Billed monthly. The commitment continues for the selected term whether the instance is running or stopped. Review capacity and reservation terms before booking.
x86 GPUs
Looking for an x86 GPU?
One RTX 5090 machine is rentable now, first come, first served: deploy it when it is free, or join its waitlist while it is in use. The L40S is planned, not rentable yet; join its waitlist and we tell you when the first ones are racked, at the rate shown.
| GPU | GPU memory | Hourly rate | Deploy or join the waitlist |
|---|---|---|---|
| RTX 5090Available · 1 machine | 32 GB GDDR7 | $0.89 / hour | Deploy now for RTX 5090 |
| L40SPlanned | 48 GB GDDR6 | $0.79 / hour | Join the waitlist for L40S |
Larger configurations
8× H100 / 8× B200 servers
Whole-server configurations, quoted individually with monthly billing and a signed order.
First evaluation
Plan a first evaluation.
What an evaluation costs on one Spark at $0.79/hour, before tax. Credit is a prepaid balance in USD, not a booking, and the minimum top-up is $10. Your first top-up is matched: pay $10, get $20 in credit. The linked 256 GB cluster is $1.79/hour across two nodes.
1 hour running
Export results, then terminate to end billing.
8 hours running
Keep enough credit for the full evaluation.
24 hours running
Running time continues until you stop or terminate.
24 hours stopped
The Spark remains allocated at 75% of the running rate, rounded to cents per hour.
Protect your results. Zero credit or a reached budget releases the machine, and the saved workspace is deleted after 7 days. Keep your own backup. Automatic top-up can fail, so it is not a backup or a guarantee of uninterrupted access.
Create an account and add creditInspect benchmark resultsAsk about your workload
Billing questions.
How does billing work?
Per-minute, against a prepaid credit balance. Running instances bill the full hourly rate; a customer-requested stop keeps its Spark held for you at a 25% discount, so $0.59/hour while stopped, against $0.79/hour running. Top up $10 the first time and get $20 in credit (a dollar-for-dollar match of up to $10 on your first top-up); after that, the minimum top-up is $10. If your balance runs out, your instances are stopped and their machines released, and each workspace is saved for 7 days before it is deleted.
Are there egress or ingress fees?
No. The hourly rate is the whole price, ingress and egress are included. (The 200 Gb/s ConnectX-7 ports on the Spark are a node-to-node interconnect, not your internet uplink.)
What happens to my data when I stop vs. terminate?
Stopping keeps /workspace right where it is, on the same node: the Spark stays held for you, the container stops, and the SSH port and hostname do not change, so restarting keeps the same machine. Model presets may need several minutes to warm up. A customer-requested stop bills 75% of the hourly rate to keep the Spark held, a 25% discount. To stop paying, terminate the instance instead of stopping it.
Terminating deletes your workspace from the node for good. That is why it asks you to type the instance name to confirm.
If your credit reaches zero or you hit your monthly budget, the instance is stopped and the machine is released for someone else to rent. Your workspace is saved off it and kept for 7 days: top up and press start within that window to pick up where you left off, on whichever Spark is free. After 7 days without that, the saved workspace is deleted for good. If the copy cannot be made, the machine stays held for you for up to 24 hours, then it is wiped with no copy kept. Low-balance mails warn you before this happens, and auto top-up can reduce the risk, but payments may fail. Keep your own backup regardless.
Workspaces are not backed up. While an instance runs or is stopped, GPUwerk copies its /workspace to one of its own machines on the same network about every six hours, only so it can recover from a failed drive. That copy can be hours old or catch a file mid-write, and nothing guarantees it exists or is complete. Keep your own copy of anything you need.
How much does on-premise cost?
A GB10 machine for your own site is quoted in writing, sized to your workload; any help with setup or operation is scoped on request. Write to us with your country and use case and you'll get a written quote, not a sales call. To own a GB10 without running it yourself, buy one in the GB10 store and have GPUwerk host it.
A tier shows no capacity. What happens when I join the waitlist?
You join a first-in, first-out line for that tier. Joining is free and needs no credit; if no DGX Spark is free when you create your account, we add you to the Spark line automatically. Machines are not held for anyone. When one of that tier frees up, we email people in line one at a time, longest-waiting first, a few minutes apart, and whoever deploys first from the console gets it. Each place in line gets that email once; if the machine is gone when you look, you keep your place. The two-Spark cluster has no emails: deploy it from the console when two Sparks show as free.
Top up $10,
get $20 in credit.
Your first top-up of $10 becomes $20 in credit, about 25 hours on a dedicated Spark.