AGAnchorGPU
NVIDIAIn stock

Rent H100 SXM GPU

A dedicated NVIDIA H100 SXM with 80 GB HBM3, 24 vCPU, 192 GB system RAM, and 3.84 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× H100 SXM80 GB$475$1,6900%
2× H100 SXM160 GB$903$3,2115%
4× H100 SXM320 GB$1,748$6,2198%
8× H100 SXM640 GB$3,420$12,16810%

Regional inventory

Three regions in the catalog.

DallasTexas · US-TX-1
420cards in catalog
AshburnVirginia · US-VA-1
180cards in catalog
PortlandOregon · US-OR-1
90cards 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 H100 SXM.

Good starting point

A candidate for Hopper-optimized training and inference, particularly when a verified multi-GPU fabric is important to the intended parallelism.

Your catalog configuration pairs 80 GB GPU memory with 192 GB host RAM and 3.84 TB local NVMe per card.

Before choosing the term

The SXM name alone does not establish the allocated host topology. Compare a representative pilot against the lower-priced 80 GB alternatives.

Use $475 for a 7-day pilot, or $1,690 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