AWS vs VoltageGPU: 85% Real Savings in 2025
Why are you literally getting robbed by AWS when the same GPUs cost 8× less elsewhere?
We're in December 2025.
Are you still paying $32–40/h for 8× A100 on AWS?
Or worse, $98/h for 8× H100/H200?
Meanwhile, on VoltageGPU (the decentralized marketplace that's exploding right now), the same configs run between $3.36 and $6.02/h.
Yes, you read that right.
Up to 85–90% savings, with machines stable for over 40 days for some.
Current Deals That Make AWS Bleed
(Real captures from December 6, 2025)
| Configuration | VoltageGPU Price | AWS Price | Savings |
|---|---|---|---|
| 5× RTX 4090 | $0.88/h | ~$16-20/h | 95% |
| 8× A100-SXM4-80GB | $6.02/h | $40.96/h | 85% |
| 8× H200 | $26.60/h | $98.32/h | 73% |
| 8× RTX 6000 Ada | $3.50/h | ~$25-30/h | 88% |
| 8× RTX A6000 | $3.36/h | ~$20-25/h | 86% |
Best Deals of the Moment (all stable > 10 days)
🏆 Best Absolute Value
5× RTX 4090 → $0.88/hour (that's $0.176 per 4090!!)
- 96 cores AMD EPYC
- 504 GB RAM
- Russia
- 16 days uptime
- → Ideal for Llama 70B fine-tuning, Stable Diffusion XXL, vLLM at 3000 tokens/s
💎 Most Common
8× A100-SXM4-80GB → $6.02/hour
- 128 cores Intel Platinum
- 1 TB RAM
- Japan
- Up to 44 days uptime
- → 85% cheaper than AWS p4de.24xlarge ($40.96/h)
🚀 Enterprise Grade
8× H200 → $26.60/hour
- 160–192 cores
- 1.5–2 TB RAM
- Iceland/USA
- 38 days uptime
- → Less than half the price of AWS p5.48xlarge ($98.32/h) for equivalent or better performance
⚡ Budget CUDA Intensive
8× RTX 6000 Ada → $3.50/hour
- 384 cores EPYC
- 1 TB RAM
- Russia
- → Perfect for intensive CUDA workloads at ridiculous budget
🇺🇸 USA Location
8× RTX A6000 → $3.36/hour
- USA location
- 961 Mbps down
- Stable performance
$10,550/month Saved
On daily 8h fine-tuning with 8× A100
Ruthless Economic Calculation
Daily fine-tuning 8h/day on 8× A100
- → AWS = $12,000/month
- → VoltageGPU = $1,450/month
- → Savings: $10,550/month → you pay off an entire node in 2 months
24/7 Inference on 5× 4090
- → AWS (equivalent g5/not possible) ≈ $16,000–20,000/month
- → VoltageGPU = $633/month
- → You're paying 30× too much on AWS.
Why Does It Work So Well (even better)?
- Real uptime > 38 days on the best machines
- Bandwidth often superior to AWS (up to 2 Gbps measured)
- Monstrous RAM (1–2 TB) → perfect for large models
- Multiple locations → you choose latency (Japan, USA, Iceland, Russia)
Yes, there are sometimes interruptions on bids < $1/h, but the "Stable" machines at $6/h for 8× A100 have been running for weeks without problems.
Direct Conclusion
If you're still paying AWS prices in December 2025, you're purely and simply getting ripped off.
VoltageGPU (and decentralized marketplaces like Vast.ai, RunPod, etc.) have won.
Startups that switched 6 months ago literally have 10× more training budget.
2026 will be the year when no one uses AWS for GPU except for enterprise constraints.
What are you waiting for to migrate?
🔥 Share this article if you're tired of giving your money to Jeff Bezos for nothing.