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Live Data · 54+ Providers

Cloud GPU pricing
without invoice shock.

Cloud providers hide 40–90% of actual GPU costs behind storage, egress, and billing minimums. Evaluate cost, risk, and availability in one place before you commit.

Example Deployment
A100 80GB
Lambda Cloud
$2.10/hr
$5.48/hr True Cost

Looks cheap initially. The real invoice triples once mandatory storage, baseline egress, and unstated billing rules are factored in.

Guessing is
Expensive.

Four critical mistakes ML teams make when provisioning compute based solely on advertised hourly rates.

01

Trusting Sticker Price

Listed pricing excludes storage, egress, and minimum rules. The real bill scales unpredictably.

87% avg hidden markup
02

Ignoring Spot Volatility

A massive discount is meaningless if your training job is repeatedly interrupted and forced to restart.

3.2× avg preemption cost
03

Skipping Availability Checks

The cheapest instance on paper is useless if regional capacity is zero or quotas block deployment.

48hrs avg time wasted
04

Comparing Apples to Oranges

Every provider bills differently. Hourly comparisons fail without complex multi-variable normalization.

54+ providers to map

Three questions answered before you deploy.

GPU Tracker normalizes the market so you evaluate cost, risk, and operational reality simultaneously.

Cost Model

What will I actually pay?

We calculate the real monthly invoice estimate by combining base GPU costs with mandatory storage, egress estimations, and minimum billing durations.

Feature: True Monthly Cost
Estimate40h/week
Advertised$2.10/hr
Storage (2TB)+$410
Egress (est)+$180
Billing min.+$95
True Monthly$3,942
Price Behavior

Will this price hold?

View 7-day price histories and instability scoring. Judge whether a massive spot discount is reliable for uninterrupted runtimes.

Volatility Score
Deploy Readiness

Can I actually get it?

We separate listed inventory from usable inventory. Understand operational realism including request paths, regional quotas, and exact deploy readiness.

Procurement Reality
Listed Capacity
High
Actual Quota
Restricted
Request Path
Sales Ticket Required
Deploy Readiness
48–72 hrs

Millions of compute hours optimized

"We caught a $2,400/month storage charge we'd been ignoring for three months. The platform paid for itself in literally 5 minutes."

ML
MLOps Lead
Series B AI Startup

"Switching from comparing hourly prices to True Cost analysis saved us 34% on our first quarterly purchase."

HI
Head of Infrastructure
Computer Vision Firm

"We avoided deploying on a cluster that reclaims instances mid-job because the volatility score exposed the historical risk."

SR
Senior ML Researcher
Enterprise AI
5,000+
GPU Instances
54+
Cloud Providers
6hr
Refresh Cycle
$49
Starting Monthly

Cheaper than one bad decision.

Transparent pricing for individuals and MLOps teams.

Free

$0/mo

For browsing prices and comparing basic listings.

  • Real-time GPU price comparison
  • 5,000+ instances tracked
  • Workload presets
  • CSV export (current view)
  • Shareable filter links
Most Popular

Pro

$49/mo

For engineers who buy GPU time weekly.

Everything in Free, plus:
  • True Monthly Cost calculator
  • Price drop alerts (email + webhook)
  • 7-day price history per model
  • Volatility & instability scoring
  • Full CSV export & unlimited presets
  • Priority data refresh (2-hour)

Teams

$199/mo

For procurement workflows and MLOps teams.

Everything in Pro, plus:
  • Unlimited team seats
  • Slack integration & Webhooks
  • Cost approval workflows
  • Monthly spend reports (PDF)
  • Shared saved filter presets
Expert Service

Done-For-You Cloud Audit

Don't want to analyze spend yourself? Get a personalized report identifying hidden charges, architectural inefficiencies, and exact steps to reclaim your cloud budget.

Starting at
$750
Request Scope

Frequently Asked Questions

No credit card is required to use the Free plan. You can browse prices, use the basic comparison tools, and export current views indefinitely.
It's an engine that takes a provider's advertised hourly rate and adds mandatory costs (like attached storage minimums), estimated egress for typical ML workloads, and normalizes billing increments so you see the real end-of-month invoice.
We continuously poll public APIs, scrape provider pricing pages, and ingest community-reported invoices to maintain a real-time dataset across 54+ providers. Pro plans see updates every 2 hours.
Yes. Subscriptions are handled via Stripe and can be paused or canceled at any point from your dashboard settings.
If you spend more than $500/month on cloud GPUs, almost certainly. Avoiding one bad spot instance preemption or identifying an unnecessary storage volume usually pays for an entire year of Pro.

Know the True Cost Before You Click Deploy.

Stop evaluating cost, risk, and availability in isolation. Make one confident decision with normalized data.

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