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GPU Hosting Market: April 2026
GPU hosting prices have shifted since early 2025 as supply has caught up with demand for some tiers while RTX 6000 Pro and newer Blackwell GPUs remain constrained. This April 2026 update captures current market rates across the major providers so you can make an informed decision on where to host your dedicated GPU server.
We track monthly dedicated pricing (not spot or preemptible), because production AI workloads need guaranteed availability. Use our GPU vs API cost comparison tool to see how these hosting rates compare to per-token API fees at your token volume.
Price Comparison by GPU
| GPU | GigaGPU | RunPod (On-Demand) | Lambda Labs | Vast.ai (avg) |
|---|---|---|---|---|
| RTX 3090 (24 GB) | $150-180/mo | $0.44/hr (~$320/mo) | N/A | $0.20/hr (~$145/mo) |
| RTX 5090 (24 GB) | $220-280/mo | $0.69/hr (~$500/mo) | N/A | $0.35/hr (~$255/mo) |
| RTX 6000 Pro (48 GB) | $350-420/mo | $0.76/hr (~$555/mo) | N/A | $0.45/hr (~$328/mo) |
| RTX 6000 Pro 96 GB | $1,800-2,200/mo | $2.49/hr (~$1,810/mo) | $1.10/hr (~$800/mo)* | $1.20/hr (~$875/mo) |
| RTX 6000 Pro 96 GB | $2,500-3,200/mo | $3.89/hr (~$2,830/mo) | $2.49/hr (~$1,815/mo)* | $2.10/hr (~$1,530/mo) |
*Lambda Labs and some Vast.ai listings use per-hour cloud pricing without guaranteed availability. GigaGPU’s rates reflect dedicated monthly servers with full root access and guaranteed resources. Prices verified April 2026.
What Each Price Includes
The sticker price only tells part of the story. Dedicated GPU hosting from GigaGPU includes the server hardware, power, cooling, network bandwidth, and basic support in the monthly rate. Cloud GPU providers typically charge separately for storage, egress, and persistent volumes, which adds 10-25% to the effective monthly cost.
GigaGPU’s UK-based dedicated servers include NVMe storage, unmetered bandwidth, and full root access. There are no hidden per-hour charges or egress fees. Compare the total cost of ownership using the LLM cost calculator which accounts for these ancillary costs.
Dedicated vs Cloud GPU Pricing
Cloud GPU pricing (per-hour) appears cheaper at low utilisation but becomes expensive for always-on workloads. A cloud RTX 5090 at $0.69/hr costs $500/month if used continuously. A dedicated server at $250/month saves $250 monthly, or $3,000 annually, for the same hardware.
The break-even point between cloud and dedicated typically sits at 50-60% utilisation. If your GPU runs more than 12 hours daily, dedicated hosting saves money. Production AI inference servers typically run 24/7, making dedicated the clear winner. For a deeper analysis, see the TCO comparison.
Value-for-Money Analysis
Dividing throughput by cost reveals which GPU tier delivers the best value. For LLM inference using vLLM, the RTX 5090 on a GigaGPU dedicated server produces the most tokens per dollar at any price point under $500/month. For workloads requiring more than 24 GB of VRAM, the RTX 6000 Pro at $350-420/month offers a cost-effective step up without jumping to enterprise RTX 6000 Pro pricing.
Check the cost per million tokens calculator and the tokens per second benchmark to model exact value for your workload.
Get the Best Price on Dedicated GPU Hosting
Compare GigaGPU’s dedicated servers with transparent monthly pricing. No hourly metering, no egress fees, no surprises.
View GPU Server PricingWhich Provider Fits Your Budget
For always-on production AI workloads, GigaGPU’s dedicated servers deliver the best value at the RTX 3090 through RTX 6000 Pro tier. For enterprise RTX 6000 Pro workloads, Lambda Labs offers competitive cloud rates if you can tolerate per-hour billing. For short-term experimentation, Vast.ai’s marketplace offers the lowest entry price but with variable quality.
UK-based teams benefit from GigaGPU’s private AI hosting with UK data residency, which simplifies compliance. Review the cheapest GPU for AI inference guide to find the minimum viable hardware for your model, then use the best GPU for LLM inference analysis for performance-optimised recommendations.
