Why gpu.fm
Tell us what you need to deploy. We check current supply and provide the configuration, price, delivery estimate, and warranty terms in writing.
Enterprise GPU Sourcing
We quote new, genuine datacenter GPUs and source units to order, with OEM warranty terms confirmed per SKU before purchase.
- New, genuine hardware sourced to order
- OEM warranty terms confirmed per SKU before purchase
- Volume pricing available for large orders
- NVIDIA, AMD, and Intel product lines
Flexible Fulfillment
We quote to your project timing, configuration, destination, and budget.
- Quantity and availability checked per request
- Lead times confirmed during quote review
- Configuration confirmed before an order is placed
- Status updates shared during the sales process
Delivery Planning
Freight, rack requirements, and service scope are confirmed for the actual system and destination.
- Freight requirements reviewed with the quote
- Rack power and cooling requirements checked
- Installation scope confirmed if needed
- Delivery terms provided before ordering
Expert Support
Our team can help scope projects, review configurations, and route commercial or technical follow-up to the right channel.
- Call line and intake form for new requests
- Human follow-up on project-scoped questions
- Warranty route stated in the quote
- Configuration and deployment guidance
Why Rent GPU Cloud from gpu.fm
H100, H200, L40S, and RTX 6000 Ada by the hour, launched in minutes from the dashboard. The rental side runs on the same principle as the hardware side: the number we show you is the number you pay, and nothing important happens without telling you.
Ready-to-Work Environments
13 launch environments, from PyTorch and TensorFlow containers to a creative stack that boots from a snapshot with FLUX Schnell, Depth Anything, Qwen2.5-VL, and BiRefNet already on disk.
- Docker and NVIDIA container toolkit preinstalled
- Snapshot a running instance and relaunch from it later (up to 10, storage currently free)
- Copy-paste quickstart commands on every running instance card
- Jupyter and VS Code Server environments for browser-based work
Billing That Matches the Price Tag
The displayed hourly rate is used by the billing engine for new launches.
- Billed in ~5-minute windows, only on validated GPU runtime
- Boot, driver install, and provisioning time are not billed
- Prepaid credits with each charge in your transaction history
- Terminate anytime and pay only for what actually ran
Server-Side Budget Enforcement
Spending limits are enforced by the platform, not by you remembering to check a dashboard.
- Optional auto-destroy deadline set at launch (1-168 hours)
- Low-balance warning email before your credits run out
- At $0 balance the instance is destroyed; snapshot first if you want to resume
- Email notifications when an instance is ready, destroyed, or your balance runs low
Access & Support
Root access without shared secrets, and a human when you need one.
- Per-instance SSH keys with no shared fleet key across customers
- Paste your own public key at launch for direct ssh root@<ip>
- Browser web terminal with no SSH setup required
- Real humans at [email protected]
Warranty & Returns
Manufacturer Warranty
Coverage depends on the product and fulfillment channel. The provider, term, and RMA process are confirmed in the written quote.
Returns
Return conditions are provided with the order terms. For an existing order, contact us with the order number and issue details so we can route the request.