AGAnchorGPU
NVIDIAIn stock

Rent RTX 5090 GPU

A dedicated NVIDIA RTX 5090 with 32 GB GDDR7, 16 vCPU, 128 GB system RAM, and 2 TB local NVMe per card.

Node pricing

One price for the whole period.

The product model allocates each GPU to one account for the complete term. Adding cards to a node applies the catalog volume discount to every card.

NodeTotal VRAM7 days30 daysDiscount
1× RTX 509032 GB$155$5400%
2× RTX 509064 GB$295$1,0265%
4× RTX 5090128 GB$570$1,9878%
8× RTX 5090256 GB$1,116$3,88810%

Regional inventory

Three regions in the catalog.

DallasTexas · US-TX-1
360cards in catalog
AshburnVirginia · US-VA-1
150cards in catalog
PortlandOregon · US-OR-1
85cards in catalog

Ready-to-run images

Start with your stack installed.

Ubuntu 24.04CUDA readyPyTorch 2.8CUDA 12.8vLLMOpenAI-compatible APIComfyUIFlux & SDXLOllamaLocal model serverJAXCUDA 12Debian 13Minimal

Workload fit

When to consider RTX 5090.

Good starting point

A 32 GB step between the 24 GB cards and 48 GB configurations for image workflows or local-model experiments needing more headroom.

Your catalog configuration pairs 32 GB GPU memory with 128 GB host RAM and 2 TB local NVMe per card.

Before choosing the term

Measure whether 32 GB is sufficient before optimizing for generation time. Confirm that your selected image supports the exact GPU and software combination.

Use $155 for a 7-day pilot, or $540 for a 30-day allocation after validating the workload. Options are additional.

Optional resources

Add only what the node needs.

Options are billed for the same fixed term as the GPU node.

Extra NVMe storage1 TB / period

$9 / week $29 / month

Dedicated public IPv4address / period

$3 / week $10 / month

Extra bandwidth10 TB / period

$12 / week $39 / month

Private colocation VLANnode / period

$25 / week $85 / month