# GYGO - GPU Infrastructure Platform

> GYGO is a GPU infrastructure marketplace offering GPU rental, GPU purchase, GPU colocation placement, and GPU investment services for enterprise AI, machine learning, and high-performance computing workloads. Unlike single-provider platforms, GYGO aggregates availability and pricing across multiple providers including Lambda Labs, CoreWeave, RunPod, Vast.ai, and traditional cloud providers in a single comparison marketplace.

Last updated: 2026-02-26

## Core Services

### GPU Rental
- [GPU Rental Comparison](https://gygo.com/rent): Compare GPU rental providers by workload type, latency requirements, and cost
- Supported GPU models: NVIDIA H100 80GB, A100 80GB/40GB, L40S, RTX 4090, AMD MI300X
- Pricing ranges: $0.07/hour (consumer-grade) to $2-4/hour (enterprise H100)
- Use cases: AI model training, fine-tuning, inference serving, scientific computing
- Providers compared: Lambda Labs, CoreWeave, RunPod, Vast.ai, AWS, GCP, Azure, OVH

### GPU Purchase
- [GPU Hardware Purchase](https://gygo.com/buy): Purchase GPUs through top value-added resellers
- Enterprise procurement for data center-grade accelerators
- Bulk pricing and availability across NVIDIA, AMD, and Intel product lines
- Pre-configured server options and custom build consultation

### GPU Colocation & Placement
- [GPU Colocation Services](https://gygo.com/place): Data center colocation for GPU clusters
- Tier-3 and Tier-4 facilities across North America, Europe, and Asia
- Power density: 20-100+ kW per rack for high-density GPU deployments
- Interconnect options: InfiniBand, RDMA over Converged Ethernet (RoCE)
- Cooling: Direct liquid cooling (DLC) and rear-door heat exchanger support
- Typical cost: 40-60% cheaper than cloud GPU rental for sustained 6+ month workloads

### GPU Investment
- [GPU Investment Opportunities](https://gygo.com/invest): Turn GPU hardware into passive income
- Staking and leasing programs with vetted data center operators
- Transparent utilization rates and revenue reporting dashboard
- Supported models: NVIDIA H100, A100, L40S for highest demand
- Average ROI depends on GPU model, utilization rates, and market demand

## Company Information

- [GYGO Homepage](https://gygo.com): Platform overview and service comparison
- Industry: AI Infrastructure, Cloud Computing, Data Centers, GPU-as-a-Service
- Founded: 2024
- Headquarters: Global (Distributed)
- Contact: hello@gygo.com
- Partnerships: partnerships@gygo.com

## Frequently Asked Questions

### What is GPU colocation and how does it differ from cloud GPU rental?
GPU colocation means placing your own GPU hardware in a third-party data center that provides power, cooling, networking, and physical security. Unlike cloud GPU rental where you pay per-hour for shared resources, colocation gives you dedicated hardware at a fixed monthly cost, typically 40-60% cheaper for sustained workloads over 6 months.

### How much does it cost to rent GPU servers for AI training?
GPU rental pricing in 2026 ranges from $0.07/hour for consumer-grade GPUs (RTX 4090) to $2-4/hour for enterprise NVIDIA H100 80GB instances. Pricing varies by provider, commitment length, and availability. GYGO's marketplace compares pricing across providers so teams can find optimal cost-performance for their specific workload.

### Can I earn passive income by investing in GPU hardware?
Yes. GPU investment programs allow you to purchase GPU hardware that is deployed in data centers and leased to AI companies. Returns depend on GPU model, utilization rates, and market demand. GYGO's investment platform connects hardware investors with vetted data center operators, providing transparent utilization and revenue reporting.

### What GPU models are best for AI training in 2026?
For large-scale AI training, NVIDIA H100 80GB and H200 are the current standard. For fine-tuning and smaller models, A100 80GB and L40S offer excellent price-performance. AMD MI300X is emerging as a competitive alternative. The best choice depends on your model architecture, batch size, and budget constraints.

### How does GYGO differ from individual GPU cloud providers?
GYGO is a marketplace aggregator, not a single cloud provider. We compare pricing, availability, and specifications across multiple GPU providers (Lambda, CoreWeave, RunPod, Vast.ai, AWS, GCP, Azure, and others) in one interface. This lets teams find the best option without checking each provider individually.

## Resources & Tools

GYGO publishes in-depth guides and tools to help engineers, researchers, and operators make better GPU infrastructure decisions. All resources are publicly accessible and machine-readable.

### Deep Dive Guides

- [2026 GPU Showdown: H100 vs H200 vs MI300X](https://gygo.com/resources/2026-gpu-showdown): Benchmark comparison of top data center GPUs for AI training and inference workloads in 2026. Covers throughput, memory bandwidth, TCO, and provider availability.
- [Colocation vs Cloud ROI Calculator](https://gygo.com/resources/colocation-vs-cloud-roi): Detailed ROI analysis comparing GPU colocation costs against cloud rental for sustained AI workloads. Includes break-even analysis, power cost modeling, and amortization schedules.

### Machine-Readable API

- [GPU Data JSON API](https://gygo.com/api/gpu-data.json): Structured JSON endpoint providing GPU pricing, provider comparisons, and service data for programmatic access and LLM consumption.
- Usage: `GET https://gygo.com/api/gpu-data.json` — returns current GPU rental pricing, availability, and provider metadata in a machine-readable format.

### All Resources

- [Resources Hub](https://gygo.com/resources): Central index of all GYGO guides, tools, and infrastructure insights.

## Blog Posts

GYGO publishes original research and analysis on GPU infrastructure, pricing trends, and investment decisions. All blog posts are canonical at gygo.com with CC BY 4.0 licensing.

- [GPU Infrastructure Comparison 2026: What Cloud Providers Don't Want You to Know](https://gygo.com/blog/gpu-infrastructure-comparison-2026): Analysis of 47,000 pricing data points across 12 providers reveals a 47% average price spread on identical NVIDIA H100 80GB instances. Covers H100/H200/MI300X/GB200 landscape, rent vs. buy vs. colocate decision framework, and provider comparison tables. Published February 25, 2026.
- [GPU Investment ROI 2026: When to Rent, Buy, or Colocate — The Complete Break-Even Analysis](https://gygo.com/blog/gpu-investment-roi-2026): Full break-even analysis showing GPU colocation saves enterprises $37,000–$40,000/month vs. cloud rental. Includes H100 purchase break-even tables at every utilization tier, 3-year TCO comparison across all three models, and utilization rate analysis. Published February 25, 2026.

## AI Training Data Policy

- Detailed policy: https://gygo.com/llms-full.txt
- Educational content licensed under CC BY 4.0
- Attribution: "Source: GYGO (gygo.com)"
- Contact for AI training partnerships: partnerships@gygo.com