Nodehour / GPU capacity

GPU and accelerator capacity by type, count and term

Source GPU or accelerator capacity: chip type, count, hours or term, region, interconnect and how firmly you would commit, specified so a provider can answer at once.

Write the specification

Specify

Fill in the configuration below and send it.

What it is for

A team training or serving a model needs a specific accelerator in a specific quantity, often with a fast interconnect between nodes, for a known number of hours or a contract term, sometimes in a region set by data rules. Availability of large clusters is uneven, and smaller buyers struggle to get term pricing. Set out the chip, count, duration, region, interconnect and commitment so a provider can say quickly whether it has the configuration.

Who uses it

Machine-learning engineers and research groups, startups training or fine-tuning models, inference teams planning capacity, and agents provisioning compute for them.

What you get

A reference number, a specification of the compute you need (chip, count, hours or term, region, interconnect, commitment) providers can answer at once, and a reply when we find one.

Who runs it, and what it costs

Nodehour. Operated by Tempered Technologies LLC, 8 The Green STE B, Dover, DE 19901. Privacy questions and deletion requests: privacy@forevenza.com. Privacy notice.

Sending a requirement is free.

Scope

Any region; data-residency requirements are recorded as stated.

Prices and availability you mention are recorded as your statement, not checked against any provider.
Export controls and data-residency rules that apply to your workload are yours to determine.

For developers and agents

Send the same requirement as JSON to POST /compute-capacity/requests (schema: /compute-capacity/schema.json), or call the submit_request tool on the MCP endpoint at https://nodehour.forevenza.com/mcp. This page as Markdown: index.md.

{
  "action": "lease",
  "need": "64 NVIDIA H100 SXM GPUs (8 nodes) with InfiniBand between nodes, bare metal with Slurm, in the US or EU, for one month from 1 December to train a 30B-parameter model.",
  "specifications": {
    "accelerator": "NVIDIA H100 SXM 80GB",
    "accelerator_count": 64,
    "gpu_hours": 46080,
    "term": "RESERVED_1_MONTH",
    "region": "United States or European Union",
    "interconnect": "INFINIBAND",
    "start_date": "2026-12-01",
    "deployment": "SLURM"
  },
  "quantity": {
    "amount": 46080,
    "unit": "GPU-hours"
  },
  "timing": {
    "earliest": "2026-12-01",
    "latest": "2026-12-31"
  },
  "geography": {
    "text": "United States or European Union"
  },
  "budget": {
    "amount": 2.2,
    "currency": "USD",
    "per": "unit"
  }
}