You're paying AWS prices for GPUs.

There's a better way.

You're paying AWS prices

for GPU Compute.

There's a better way.

Deploy GPUs in 60 seconds with free credits. No contracts, no waitlists.

The numbers speak for themselves, and we're not hiding the ones where AWS wins either.

Deploy for freeJoin 1,200+ AI developers

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Official Program Partners

The ACN

Advantage

GPU pricing. Consistently 25–40% cheaper on every hardware tier we offer.

Developer simplicity. No IAM rabbit holes, no VPC setup. Run a job in 4 minutes from signup.

Provisioning speed. No quota bureaucracy. Jobs start in under 60 seconds.

Consumer GPU access. RTX 6000s to H200s, accessible for all, not just companies.

GPU Hourly Pricing Comparison

On Demand. No hidden fees. no support tier taxes.

H200

$2.4/hr

$4.5/hr

$4.7/hr

H100

$2.3/hr

$4.1/hr

$4.2/hr

A100

$1.7/hr

$3.2/hr

$3.3/hr

RTX 6000

$0.9/hr

$2.3/hr

$2.4/hr

Deploy GPU's in 3 Simple Steps

1. Create Account

Sign up quickly and securely.

2. Deploy GPU

Launch instance in seconds.

3. Deposit Funds

Buy credits using Stripe.

Deploy For Free

GPU Instance

Node Quantity

Monthly Runtime (HRS)

Hyperscaler Est.
(AWS, Google, Azure)

$38,000

ACN Est.

$25,000

Cost Advantage
Monthly Delta
$13,000
Savings
34.2%

Common questions.

How is this so much cheaper than AWS?

We focus exclusively on compute — no S3, no Lambda, no RDS. That focus lets us optimize procurement, infrastructure, and pricing without cross-subsidizing a 200-product cloud ecosystem. We also work with a network of data centers, giving us supply flexibility AWS doesn't have.

How hard is it to migrate from AWS?

If your workload is just GPU compute, training, inference, batch processing, migration is usually a single afternoon. Our CLI is compatible with most standard PyTorch/TF workflows. If you're deeply integrated into AWS services (S3, Sage Maker Pipelines), there's more work but we have a migration guide.

What's the reliability like? Can I trust it?

We maintain 99.9% uptime SLA across our GPU fleet. For pure training and batch inference workloads, this is more than sufficient. For latency-sensitive, customer-facing inference with strict SLAs, we'd encourage testing thoroughly before full migration.

Do you offer reserved or committed pricing?

Yes — monthly commit pricing gets you an additional 20% discount on top of our already-lower base rates. No multi-year lock-in required. Talk to us if you're spending $10K+/month and we'll build a custom plan.