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Independent AI Compute Index & Telemetry Benchmark

About GPUy

GPUy is the developer-first, independent index for cloud GPUs, bare-metal clusters, and serverless token inference. We exist to bring absolute transparency to AI compute pricing, uncover hidden storage and egress traps, and benchmark real hardware performance.

20+
Audited Cloud Providers
69+
GPU Cloud Instances
50+
Serverless Model APIs
100%
Zero Pay-to-Win Bias

Why GPUy Exists: The Problem with AI Compute in 2026

Marketing figures vs. engineering reality in modern cloud GPU rentals.

1Pricing Opacity & Hidden Billing Traps

Cloud providers advertise low hourly rates (e.g. $1.89/hr for H100 SXM), but bury massive stopped-instance volume storage fees ($0.10–$0.15/GB/mo), $0.05–$0.12/GB network egress taxes, and mandatory minimum billing increments. An instance idle for a weekend can easily double your monthly compute bill.

2Hardware Interconnect Discrepancies

Not all multi-GPU instances are created equal. Consumer RTX 4090 clouds often wire cards over PCIe Gen 4 x8 with zero peer-to-peer NVLink, causing distributed LLM training (all-reduce) to crawl at 32 GB/s compared to 900 GB/s on genuine SXM5 NVSwitch nodes. We verify real bus topologies before you deploy.

3The Serverless Token Speed Illusion

API marketing pages boast “150 tokens/sec” under zero-concurrency warm cache conditions. Under peak multi-tenant production load, Time to First Token (TTFT) degrades to 2.8s and streaming speeds collapse. GPUy runs active latency and throughput telemetry across DeepSeek, Llama, and Qwen endpoints.

4Wasted Engineering Hours

Engineers burn dozens of hours configuring SSH keys, discovering that a provider's container root filesystem is ephemeral, running into thermal throttling, or navigating community marketplace host unreliability. GPUy provides battle-tested gotchas so you make the right choice in 30 seconds.

Our 4-Pillar Telemetry & Benchmarking Methodology

How we measure, audit, and normalize GPU cloud data.

1. Real Hardware Telemetry

We execute direct CUDA memory bandwidth checks, NCCL peer-to-peer all-reduce benchmarks, and 100% sustained FP16/BF16 tensor core stress tests to ensure hardware isn't thermal throttling or running on shared virtualized slices.

2. True Total Cost of Ownership (TCO)

Our pricing engine calculates true monthly costs by factoring in stopped instance persistence, container root storage quotas, persistent network volumes, and outbound internet bandwidth charges.

3. Independent Serverless Probes

Multi-region probe runners send real token requests to serverless API endpoints to record median Time to First Token (TTFT), median streaming Tokens Per Second (TPS), cold-start latency, and price per 1M input/output tokens.

4. Veteran Gotchas & Operational Caveats

Every cloud provider profile includes curated, engineer-verified caveats: container vs bare-metal root access, port exposure restrictions, spot preemption warning buffers, and IP reputation status.

Editorial Ethics & Transparency Policy

Zero Pay-to-Win: How We Maintain Complete Editorial Independence

Rankings Cannot Be Purchased: Cloud providers, datacenter operators, and API aggregators cannot pay to alter their benchmark scores, leaderboards, cost comparison positions, or head-to-head verdicts. Editorial rankings are driven strictly by price, verified hardware specs, and community telemetry.

Affiliate Transparency: Some outbound provider links on GPUy contain referral codes (routed through /go/[slug]). When you register or spin up an instance using our referral links, GPUy may receive a small affiliate commission or compute credits at zero extra cost to you. This revenue directly funds our automated scraper fleet, latency probe nodes, and database servers.

Equal Telemetry Standards: Providers with affiliate programs and providers without affiliate programs are audited under identical benchmark criteria. If a partner provider has poor reliability, high cold starts, or predatory stopped storage fees, we call it out explicitly.

24-Hour Correction SLA: If a provider changes their pricing, adds new datacenters, or fixes a listed gotcha, our team verifies and updates the data within 24 hours of notification.

Official Contact Channels & Team

Direct email channels for inquiries, provider listings, and telemetry corrections.

General Inquiries & Corrections

Found a pricing change, benchmark discrepancy, or have feedback on our calculators? Email our editorial engineering desk.

Response time: < 12 hours
[email protected]
Provider Claims & Sponsorship

Cloud providers and datacenter hosts: claim your official provider profile, update cluster availability, or inquire about category sponsorship.

Response time: < 4 hours
Security & Infrastructure

Responsible vulnerability disclosures, probe node peering inquiries, or reporting automated abuse against our telemetry endpoints.

Response time: < 24 hours
[email protected]

Ready to Find the Lowest-Cost GPU Compute?

Explore real-time rates across 20+ verified providers, calculate exact VRAM requirements, or test global datacenter ping.