Substrate

Substrate

noun

An underlying layer that supports complex systems.

Substrate

noun

An underlying layer that supports complex systems.

Composable GPU infrastructure — configure compute by cores, VRAM, memory, and storage.

Configure your instance

16
164
48 GB
4GB128GB
128 GB
8GB512GB
500 GB
50GB2000GB

16 cores · 48GB VRAM · 128GB RAM · 500GB SSD

~$8.82/hr

Pricing varies by region & availability
Provision

Trusted by teams at

Helix
Veritas
Cascade
Moiré
Stratum
Axon

How it works

Compute, assembled to your needs

Instead of renting fixed machines, configure exactly the resources your workload requires.

01

Choose cores

Select the number of GPU cores for your training or inference workload. Substrate allocates dedicated cores, never shared.

02

Add VRAM

Allocate video memory precisely for model weights, KV caches, and activation tensors. No memory tax from co-tenancy.

03

Add RAM

Set system memory for data loading, preprocessing, and host-side buffers. Scale independently from GPU resources.

04

Add storage

Attach NVMe SSD storage for datasets, checkpoints, and artifacts. Provisioned in seconds, billed per GB used.

Why it matters

Infrastructure without fixed shapes

No oversized instances

Only allocate the resources you need. No paying for idle cores or unused memory sitting in a fixed SKU.

Predictable performance

Dedicated cores and memory, not shared bursts. Consistent throughput for every job, every time.

Built for AI workloads

Training, inference, rendering, simulation. Infrastructure shaped for the demands of modern compute.

Per-second billing

Pay for exactly what you run. Billing stops the moment your job ends — no rounding to the nearest hour.

Instant teardown

Instances are fully cleaned and returned to the pool in seconds. No lingering costs, no stale state.

API + Terraform native

First-class Terraform provider and REST API. Integrate into any existing IaC pipeline in minutes.

< 0s

Provisioning time

0%

Uptime SLA

0+

GPU configurations

Per-second

Pay per second

Trust & compliance

Enterprise-grade security, built in

SOC 2 Type II

Audited annually. Full audit report available under NDA.

HIPAA Compliant

BAA available. PHI-safe infrastructure for healthcare AI.

Zero Data Logging

We never inspect, log, or retain your workload data. Your models stay yours.

100% Renewable

Hosted in Lefdal Mine — powered entirely by Norwegian hydropower.

“Your infrastructure should never be the weakest link in your security posture.”

Infrastructure

Built inside a mountain

Substrate runs on infrastructure housed in Lefdal Mine Datacenter — a former NATO mining facility carved into the mountains of western Norway. The facility provides Tier III equivalent reliability with natural physical security that no above-ground data center can match.

Cooled by fjord water from the Norwegian Sea and powered entirely by renewable hydroelectric energy, Lefdal delivers exceptional power efficiency with a PUE below 1.15 — making it one of the greenest data centers in the world.

Location

Måløy, Norway

Power

100% renewable hydropower

Cooling

Fjord water natural cooling

Security

Underground rock facility

Developer experience

Infrastructure you can script

API-first. CLI-native. Define your compute with declarative configs and manage infrastructure as code.

main.tf
resource "substrate_compute" "train" {
  gpu_cores  = 16
  vram_gb    = 48
  ram_gb     = 128
  storage_gb = 500
}

How we compare

Substrate vs. the status quo

FeatureSubstrateAWS EC2GCP ComputeLambda Cloud
GPU allocationExact core countFixed SKUsFixed SKUsFixed SKUs
VRAM configurationPer-GBTied to instanceTied to instanceTied to instance
Billing granularityPer-secondPer-secondPer-secondPer-hour
Provisioning time< 30 secondsMinutesMinutesMinutes
Data loggingNoneCloudTrailCloud AuditVaries
ComplianceSOC 2, HIPAASOC 2, HIPAASOC 2, HIPAASOC 2

Who it's for

Built for teams running serious workloads

ML engineers

Fine-tune models with precisely allocated GPU memory and compute.

AI startups

Scale from prototype to production without re-architecting infrastructure.

Research labs

Run experiments with reproducible, precisely configured compute environments.

Rendering studios

Allocate GPU cores for parallel rendering without fixed machine limits.

Simulation teams

Configure memory-heavy instances for physics, climate, or financial models.

FAQ

Frequently asked questions

Ready to build?

Get early access to composable GPU infrastructure. No commitments, no fixed contracts.