Question 1

How much does it cost to rent GPU servers for AI training?

Accepted Answer

GPU rental pricing in 2026 ranges from $0.07/hour for consumer-grade GPUs like RTX 4090 to $2-4/hour for enterprise NVIDIA H100 80GB instances. Pricing varies by provider, commitment length, and availability. GYGO compares pricing across providers so teams find optimal cost-performance.

Question 2

What GPU models are available for cloud rental?

Accepted Answer

Major cloud GPU options include NVIDIA H100 80GB and H200 for large-scale training, A100 80GB for general AI workloads, L40S for inference, and RTX 4090 for cost-effective fine-tuning. AMD MI300X is emerging as a competitive alternative. Availability varies by provider and region.

Question 3

How much do enterprise GPUs cost to purchase?

Accepted Answer

Enterprise GPU pricing varies significantly. NVIDIA H100 80GB cards range from $25,000-40,000 depending on supply. A100 80GB cards are $10,000-15,000. Consumer RTX 4090 cards run $1,500-2,000. Bulk orders through GYGO's reseller network can reduce costs by 10-20% versus list pricing.

Question 4

Should I buy or rent GPUs for AI workloads?

Accepted Answer

Buy if you have sustained workloads running 6+ months at high utilization, as ownership becomes cheaper than rental at that point. Rent for variable workloads, prototyping, or when you need different GPU types. GYGO helps evaluate both options based on your specific usage patterns and budget.

Question 5

What is GPU colocation and how does it differ from cloud rental?

Accepted Answer

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

Question 6

How much does GPU colocation cost per month?

Accepted Answer

GPU colocation pricing typically ranges from $500-2,000 per kW per month depending on location, power density, cooling type, and contract length. A standard 40 kW GPU rack costs $2,000-8,000/month. This is significantly cheaper than equivalent cloud GPU rental for workloads running continuously.

Question 7

Can I earn passive income by investing in GPU hardware?

Accepted Answer

Yes. GPU investment programs let you purchase GPU hardware deployed in data centers and leased to AI companies. Returns depend on GPU model, utilization rates, and market demand. GYGO connects hardware investors with vetted data center operators providing transparent utilization and revenue reporting.

Question 8

What are the risks of GPU hardware investment?

Accepted Answer

Key risks include hardware depreciation as newer GPU generations release, market demand fluctuations affecting utilization rates, operator reliability, and potential hardware failures. GPU technology cycles are typically 2-3 years. GYGO mitigates risk by vetting operators and providing transparent utilization metrics.

Frequently Asked Questions

GPU Rental

GPU Purchase

GPU Colocation & Placement

GPU Investment

Still have questions?

Frequently Asked Questions

GPU Rental

How much does it cost to rent GPU servers for AI training?

What GPU models are available for cloud rental?

What is the minimum GPU rental period?

How does GYGO compare to renting directly from a single provider?

GPU Purchase

How much do enterprise GPUs cost to purchase?

Can I buy GPUs in bulk through GYGO?

What warranty and support comes with GPU purchases?

Should I buy or rent GPUs for AI workloads?

GPU Colocation & Placement

What is GPU colocation and how does it differ from cloud rental?

What power density do GPU clusters require for colocation?

What interconnect options are available for colocated GPU clusters?

How much does GPU colocation cost per month?

GPU Investment

Can I earn passive income by investing in GPU hardware?

What GPU models offer the best investment returns?

What are the risks of GPU hardware investment?

What is the minimum investment for GPU hardware programs?

Still have questions?