⚡ GPU Compute · Pay with PRL
GPU compute.
Pay in Pearl.
On-demand NVIDIA GPU access by the hour for AI inference, rendering, and compute workloads. Pay with PRL, connect via SSH.
✓ SSH + CUDA access
✓ Docker isolated
✓ Pay with PRL
Available GPUs
NVIDIA RTX 5070
EU · ancalagon
● Available
GPU
RTX 5070
VRAM
12 GB GDDR7
Architecture
Blackwell
CUDA Cores
6144
TFLOPS (FP32)
~50
TDP
250W
Performance & Network
Mem BW
896 GB/s
Driver
570+
CUDA
12.x
Uptime
99.2%
Download
700 Mbps
Upload
100 Mbps
Ping
8 ms
Last updated: --
How it works
1
Sign up with your email
Create an account so we can deliver your SSH credentials after payment. No personal data required beyond your email.
2
Choose hours & pay with PRL
Select how many hours you need and send the exact PRL amount to our wallet address. No credit card, no KYC.
3
Receive SSH credentials
After on-chain confirmation (2-3 minutes), you receive SSH connection details via email. Connect directly to a Docker container with full CUDA access.
4
Run compute workloads
Use the GPU for AI inference, model training, rendering, mining, or any CUDA workload. Full internet access. Session auto-terminates when time expires.
What you get
✓ Root access inside isolated Docker container
✓ Full NVIDIA CUDA toolkit pre-installed
✓ nvidia-smi, nvcc, cuDNN available
✓ Full outbound internet access
✓ 50+ GB disk space inside container
⚠ No access to host system or other containers
⚠ Container destroyed after session ends
🔒
Admin Access
Enter your password to manage the listing.
Incorrect password.
Pricing & Listing
Changes apply immediately to the public listing.
✓ Saved
GPU & Network Specs
Update the figures shown on the listing.
✓ Updated
Change Password
Default is admin123 — change immediately.
✓ Changed
Session