Good fit
- ComfyUI, Flux, Stable Diffusion and batch image generation.
- LLM fine-tuning, evaluation and offline training jobs.
- Batch inference where US/EU low latency is not required.
- AI agencies that need temporary capacity and human support.
Monthly GPU capacity for AI workloads
Available monthly GPUs for AI workloads
Monthly GPU containers and dedicated multi-GPU servers for AI training, fine-tuning, ComfyUI, image/video generation and batch inference. Pick an available resource, send your contact, then we verify delivery details and send PayPal payment information.
- Setup after confirmation
- 30 min
- 4090 monthly from
- $299/mo
- Dedicated 8x4090 from
- $1,699/mo
Monthly resource menu
Available monthly GPU resources
These are NorthGPU starting monthly prices for currently listed resources. Region, bandwidth, storage and setup details are verified before payment. We send PayPal payment details and prepare access after payment is received.
| Resource | Shape | Spec | Monthly | Payment | Status | Best fit | Action |
|---|---|---|---|---|---|---|---|
| 4090 Monthly Container1x RTX 4090, 24GB VRAM | Container | 32 CPU / 64GB RAM / 100GB disk | from $299/mo | PayPal after confirmation | Available | ComfyUI, Flux, LoRA, image batches | |
| P40 Monthly Container1x P40, 24GB VRAM | Container | 12 CPU / 32GB RAM / 100GB disk | from $249/mo | PayPal after confirmation | Available | Budget CUDA jobs and light inference | |
| A100 Monthly Container1x A100, 80GB VRAM | Container | 32 CPU / 250GB RAM / 100GB disk | from $1,099/mo | PayPal after confirmation | Available | 80GB VRAM tests without a full server | |
| 8x 4090 Dedicated Server8x RTX 4090, 192GB total VRAM | Dedicated | 64 CPU / 720GB RAM / 8.8TB disk | from $1,699/mo | PayPal after confirmation | Available | Fixed team capacity, parallel containers | |
| 8x 4090 48GB Dedicated Server8x 4090-class GPU, 384GB total VRAM | Dedicated | 64 CPU / 720GB RAM / 8.8TB disk | from $2,849/mo | PayPal after confirmation | Available | Higher-VRAM 4090-class workloads | |
| 8x 5090 Dedicated Server8x RTX 5090, 256GB total VRAM | Dedicated | 64 CPU / 720GB RAM / 8.8TB disk | from $2,799/mo | PayPal after confirmation | Available | Newer image/video and local model work | |
| 8x A100 Dedicated Server8x A100, 640GB total VRAM | Dedicated | 64 CPU / 1024GB RAM / 9.8TB disk | from $5,449/mo | PayPal after confirmation | Available | LLM fine-tuning and large inference | |
| 8x H20 Dedicated Server8x H20, 768GB total VRAM | Dedicated | 64 CPU / 1024GB RAM / 9.8TB disk | from $6,049/mo | PayPal after confirmation | Available | High-memory inference and training tests | |
| 8x A800 Dedicated Server8x A800, 640GB total VRAM | Dedicated | 64 CPU / 1024GB RAM / 9.8TB disk | from $6,599/mo | PayPal after confirmation | Available | 80GB-class training and inference | |
| 8x H100 Dedicated Server8x H100, 640GB total VRAM | Dedicated | 64 CPU / 1024GB RAM / 9.8TB disk | from $14,249/mo | PayPal after confirmation | Available | Serious training and large inference | |
| 8x H800 Dedicated Server8x H800, 640GB total VRAM | Dedicated | 64 CPU / 1024GB RAM / 9.8TB disk | from $16,949/mo | PayPal after confirmation | Available | Large-scale training with verified delivery details |
Listed resources are available to request now. Bandwidth, storage, public IP, region and managed setup can affect the final price. We verify delivery details before sending PayPal payment details.
China resource fit
Good for offline AI workloads. Not for every use case.
Not ideal
- Ultra-low-latency US/EU production APIs.
- Strict data residency, compliance or enterprise procurement flows.
- Teams that require fully automated cloud deployment today.
- Workloads that cannot test network performance before rental.
Validation offer
Request the available resource you want
Select a resource and send your contact. We verify GPU model, CUDA, PyTorch, Docker/Jupyter, network and workload fit before sending PayPal payment details.
01 Select GPU
02 Add email or WhatsApp
03 Receive PayPal payment details
04 Access prepared after payment
Trust package
Proof before you rent longer
Hardware proof
nvidia-smi, GPU model, VRAM, CPU, RAM, disk and driver version screenshots.
Runtime proof
CUDA, PyTorch, Docker and Jupyter validation with your requested environment.
Network proof
Bandwidth and latency samples for your region before a longer rental window.
Delivery proof
SSH, Jupyter or API endpoint handoff with a clear setup and extension path.
Popular searches
Focused pages for common GPU rental needs
Process
From selected resource to running workload
- 01Choose a GPU resource and submit email plus WhatsApp or direct contact.
- 02We verify bandwidth, region and whether the China/Asia resource fits your workload.
- 03We send PayPal payment details after delivery details are verified.
- 04After PayPal payment is received, we prepare SSH, Docker, Jupyter or runtime access.
- 05Your team validates and continues the monthly rental with the confirmed setup path.
FAQ
Questions overseas teams ask first
Where are the GPU resources located?
Many resources are China/Asia-based. We state that upfront because it affects latency, compliance and network fit. For training, fine-tuning and batch work, this can still be cost-effective.
Is pricing final?
Listed prices are starting points. Final price depends on GPU count, rental length, bandwidth, storage, public IP and managed setup requirements.
Can you open access within 30 minutes?
After delivery details and payment are confirmed, we aim to prepare access within 30 minutes for standard resources. Complex Docker/Jupyter environments or multi-GPU machines may need extra setup time.
Can each GPU run as a separate container?
Yes for Docker-level GPU binding. RTX 4090 does not support NVIDIA MIG, so we describe this as container-level isolation rather than hardware MIG isolation.
Request resource
Select GPU and add a direct contact
Add the resource you want and a direct contact. For the fastest response, start a WhatsApp chat after submitting the request.