The Pricing Layer for AI Compute

The pricing layer
for compute.

Compute pricing is fragmented, volatile, and opaque. Primis normalizes it into clear rates AI builders can reserve, apply, and track inside their existing workflows.

Join Beta Waitlist How It Works
provider-a.ai/pricing
A100 80GBus-east
$1.18
changed 4m ago
provider-b.net/gpu
A100 80GBeu-west
$0.96
limited availability
provider-c.dev/quotes
A100 80GBauto
$1.32
rate spike
Providers abstracted
$0.74
per GPU-hour · reserved quote
qt_a100_30d_7x2k
Routes
68
Confidence
99.8%
Expires
10m
quote_id -> workload_id -> usage priced
Old Way vs Primis

Stop comparing providers.
Start querying prices.

Compute pricing should not live across dashboards, stale quote screenshots, and spreadsheets. It should be a rate your team can use before the workload runs.

The old way
  • Compare fragmented provider dashboards
  • Chase volatile GPU rates
  • Refresh stale quotes
  • Maintain pricing spreadsheets
  • Guess what workloads will cost
The Primis way
  • Query one compute pricing layer
  • Create clear compute quotes
  • Reserve the workload window
  • Attach pricing to workload IDs
  • Track usage and forecast spend
How It Works

A compute price should be usable.

Primis turns fragmented compute pricing into a clear rate your team can use before running a workload. Each quote shows the price, how long it is valid, and how it connects to usage.

Clear rateKnow the GPU-hour price before the workload runs.
Validity windowSee how long that price is available.
Usage-readyConnect the price to a workload and track spend against it.
Ready to use
compute quote
$ primis quote create --gpu a100 --window 30d
normalizing indexed compute routes...
{
  "quote_id": "qt_a100_30d_7x2k",
  "gpu": "A100 80GB",
  "rate": "$0.74/GPU-hour",
  "expires_in": "10m",
  "confidence": "99.8%",
  "routes_indexed": 68,
  "workload_id": "rag-pipeline:v2"
}
quote ready -> attach to workload
Workflow

Check the price. Reserve it. Track usage.

Primis gives AI builders a simple pricing workflow that fits into the infrastructure they already use.

01 - CHECK

Get a clear rate

Primis compares fragmented compute pricing and returns one normalized price for the workload.

02 - RESERVE

Lock the window

See how long the rate is valid so your team can make a decision before prices move.

03 - APPLY

Use it in your stack

Connect the price to a workload ID inside your existing infrastructure.

04 - TRACK

Follow spend

Match usage back to the quoted price and forecast cost before the bill surprises the team.

Pricing Mechanics

Provider chaos, abstracted.

Primis is not a compute provider. It is the pricing layer that turns fragmented compute supply into normalized, confidence-scored rates.

Provider prices normalized Stale routes excluded Confidence scored Quote expiry enforced Usage matched to quote
Open Beta

Join the Primis Compute beta.

For AI builders who need predictable compute pricing inside the workflows they already use.

Inference teams AI agents Training workloads Compute-heavy apps