01 / 05
Managed SSH
One key. Every instance. Every provider.
key mounted
$ ssh root@203.0.113.42
Authenticating with deploygpu_ed25519
Welcome to DeployGPU
01 / deploy
Your GPU app, online and private by default.
new deployment
zero ingress setup01
Choose compute
Compare live inventory across every provider.
Best live offer
available nowNVIDIA
H100
$2.50
per GPU / hour
VRAM80 GB
RegionUS-East
Select this offer
02
Launch a template
Deploy a ready-to-run environment on the GPU.
PyTorch
Llama
ComfyUI
Jupyter
Ubuntu
Custom
Deploy PyTorch
03
Open your app
Get a private URL protected by your sign-in.
k7m2p4qx.app.deploygpu.ai
JupyterLab
workspace / notebooks
training.ipynbrunning
model-weights/folder
outputs/folder
signed in as you@company.com
automatic HTTPSowner accessprivate app accesshealth checked
02 / included
Everything between you and your model, handled.
connected
02 / 05
Preconfigured CUDA
Drivers matched. No Dockerfile.
PyTorch
Llama.cpp
ComfyUI
Jupyter
runtimeCUDA 12.4 · cuDNN 9
03 / 05
Unified Billing
One balance. One invoice.
providerGPUusage
vast.aiH100−$1.47/hr
verdaV100−$0.14/hr
hyperstackL40S−$0.89/hr
available balance$47.20
04 / 05
Provider Failover
One unavailable? Deploy on another.
provider healthrouting active
vast.ai
verda
hyperstack
latitude
massed compute
Hyperstack unavailable. Rerouted to Vast.ai
05 / 05
Zero Lock In
Your data. Export or leave any time.
GPU instance
~/weights
Your storage
./local/
$ scp -r root@gpu:~/weights ./local/ transferred 4.2 GB
03 / marketplace
Every GPU. Every cloud. Live prices.
Updated every 15 minutes from the actual market.
| GPU Family | VRAM | From▲ | Available |
|---|---|---|---|
| RTX 4090 | 24 GB | from$0.40/hr | |
| A6000 | 48 GB | from$0.48/hr | |
| RTX 6000 Ada | 48 GB | from$0.78/hr | |
| L40S | 48 GB | from$0.80/hr | |
| A100 | 80 GB | from$0.82/hr | |
| L40 | 48 GB | from$0.86/hr | |
| RTX 5090 | 32 GB | from$0.87/hr | |
| RTX PRO 6000 | 96 GB | from$1.73/hr | |
| H100 | 94 GB | from$2.50/hr | |
| H200 | 141 GB | from$4.00/hr | |
| B200 | 192 GB | from$6.00/hr | |
| GB300 | 288 GB | — | |
| B300 | 262 GB | — | |
| V100 | 32 GB | — |
RTX 4090$0.40/hr24 GB
A6000$0.48/hr48 GB
RTX 6000 Ada$0.78/hr48 GB
L40S$0.80/hr48 GB
A100$0.82/hr80 GB
L40$0.86/hr48 GB
RTX 5090$0.87/hr32 GB
RTX PRO 6000$1.73/hr96 GB
H100$2.50/hr94 GB
H200$4.00/hr141 GB
B200$6.00/hr192 GB
GB300—288 GB
B300—262 GB
V100—32 GB
05 / reserve
Reserve a GPU Cluster
Submit your requirements and we'll get you quotes from multiple providers within 24 hours. From single node to multi node clusters, we handle the sourcing.
Quotes from multiple providers within 24 hours
RoCE v2 & InfiniBand cluster configurations
Flexible terms, 1 to 36+ months
Dedicated support for cluster deployment
Volume pricing on reserved capacity
04 / faq
Common questions.
You see the provider's price. We add 10%. That's it. No bandwidth fees, no egress charges, no minimum spend. You buy credits with a card, credits get charged hourly while your instance runs.
If a provider terminates your instance (hardware failure, maintenance), we detect it within 5 minutes and mark it interrupted. Unused credit for that hour is refunded automatically. You redeploy on any provider in one click.
Your instance runs on the provider's hardware. You hold the private SSH key — once provisioned, we have no way to access your machine. When you terminate, the instance is destroyed and we don't retain your data.
Yes. API keys (Bearer gpu_live_*) give you programmatic access to deploy, terminate, and list instances. Same capabilities as the dashboard.
Vast.ai, Verda, Hyperstack, Latitude, Massed Compute, and QuantaCloud today. More on the way. You deploy to any of them from the same dashboard, same billing, same SSH flow.
None. No credit card to sign up. Buy credits when you're ready. Minimum top-up is $5. Instances bill by the hour, terminate any time.
Ready to deploy?
Pick a GPU, choose a template, and be running in under 60 seconds.
Start DeployingNo credit card required
Ready to deploy?
Pick a GPU, choose a template, and be running in under 60 seconds.
Start DeployingNo credit card required
06 / enterprise
Need GPUs managed end-to-end?
We handle the infrastructure so your team can focus on the model. From provisioning to monitoring, one point of contact.
Dedicated account manager
Custom templates & infrastructure
Volume pricing & reserved capacity
SLA-backed uptime
Priority support (Slack / Discord)