# GYGO

> 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. GYGO aggregates availability and pricing across multiple providers in a single platform.

## Core Services

- [GPU Rental](https://gygo.com/rent): Compare GPU rental providers by workload type, latency, and cost. On-demand and reserved NVIDIA H100, A100, L40S instances from multiple cloud providers.
- [GPU Purchase](https://gygo.com/buy): Purchase high-performance GPUs through top value-added resellers. Enterprise hardware procurement for NVIDIA, AMD, and Intel accelerators.
- [GPU Placement](https://gygo.com/place): Data center colocation services with optimal power, cooling, interconnect, and low-latency routing for GPU clusters. Tier-3 and Tier-4 facilities worldwide.
- [GPU Investment](https://gygo.com/invest): Turn GPU hardware into revenue through staking, leasing, and decentralized compute protocols. Transparent utilization and ROI reporting.

## Resources & Guides

- [2026 GPU Showdown](https://gygo.com/resources/2026-gpu-showdown): Cross-provider comparison of H100, H200, and MI300X for 2026 workloads.
- [Colocation vs Cloud ROI](https://gygo.com/resources/colocation-vs-cloud-roi): TCO and ROI math comparing GPU colocation against cloud rental.
- [Vast.ai Alternatives 2026](https://gygo.com/resources/vast-ai-alternatives-2026): Neutral comparison of Vast.ai alternatives across RunPod, Lambda Labs, CoreWeave, and more.
- [Best GPU for LLM Training 2026](https://gygo.com/resources/best-gpu-llm-training-2026): Decision guide for selecting GPUs for LLM training by cost, memory, and throughput.
- [GPU Staking Returns 2026](https://gygo.com/resources/gpu-staking-returns-2026): Analysis of GPU staking, leasing, and DePIN revenue-share returns.
- [Build vs Rent GPU 2026](https://gygo.com/resources/build-vs-rent-gpu-2026): Framework for deciding whether to build or rent GPU infrastructure for AI training.
- [GPU Infrastructure Guide 2026](https://gygo.com/resources/gpu-infrastructure-guide-2026): Comprehensive guide to GPU infrastructure options for enterprise AI.
- [GPU Infrastructure Comparison 2026](https://gygo.com/blog/gpu-infrastructure-comparison-2026): Provider-by-provider comparison of GPU infrastructure options.
- [GPU Investment ROI 2026](https://gygo.com/blog/gpu-investment-roi-2026): ROI analysis for GPU hardware investment and revenue-share models.

## Company Information

- [GYGO Homepage](https://gygo.com): GPU infrastructure platform overview and service comparison
- [Contact](mailto:hello@gygo.com): Sales inquiries and enterprise partnerships

## Optional

- [Full LLM Context](https://gygo.com/llms-full.txt): Extended service details, pricing data, and FAQ for LLM consumption

## Machine-Readable API

- [GPU Data JSON](https://gygo.com/api/gpu-data.json): Structured JSON endpoint with GPU pricing, provider comparisons, and service data for programmatic access