Cloud GPU Rental Pricing & VRAM Cost Comparison
Compare real-time hourly rates, cost per GB VRAM, and monthly break-even metrics across top on-demand GPU clouds (RunPod, Vast.ai, and Lambda Labs) for running Ollama, vLLM, and open-weights models.
On-Demand & Spot Cloud GPU Pricing Matrix
Ranked by hourly rate with direct 1-click template deploy links
| GPU Model | VRAM & Bandwidth | Cloud Provider | Spot Rate | On-Demand | Cost / GB VRAM | Part-Time (4h/d) | Full-Time (24/7) | Deploy Instance |
|---|---|---|---|---|---|---|---|---|
| NVIDIA RTX 3060 Cheapest entry cloud GPU for testing 8B–14B models | 12 GB(360 GB/s) | Vast.ai | $0.12/hr | $0.18/hr | $0.015/GB | $21.6/mo | $130/mo | Deploy on Vast.ai ↗ |
| NVIDIA RTX 4070 Ti Super High-speed 35B MoE testing at ultra-low hourly rates | 16 GB(672 GB/s) | Vast.ai | $0.22/hr | $0.34/hr | $0.021/GB | $40.8/mo | $245/mo | Deploy on Vast.ai ↗ |
| NVIDIA GeForce RTX 4090 Industry-standard 24GB sweet spot for Ollama & vLLM | 24 GB(1008 GB/s) | RunPod | $0.38/hr | $0.59/hr | $0.024/GB | $70.8/mo | $425/mo | Deploy on RunPod ↗ |
| 2x NVIDIA RTX 3090 (48GB) Cheapest way to run 70B models in high-VRAM cloud memory | 48 GB(936 GB/s) | Vast.ai | $0.52/hr | $0.78/hr | $0.016/GB | $93.6/mo | $562/mo | Deploy on Vast.ai ↗ |
| NVIDIA GeForce RTX 5090 Fastest single-GPU inference speed with 1,792 GB/s bandwidth | 32 GB(1792 GB/s)FP4 | RunPod | $0.65/hr | $0.89/hr | $0.028/GB | $106.8/mo | $641/mo | Deploy on RunPod ↗ |
| Apple Mac Mini M4 Pro (64GB) Apple Metal inference testing with large context windows | 54 GB(273 GB/s) | RunPod | $0.55/hr | $0.75/hr | $0.014/GB | $90.0/mo | $540/mo | Deploy on RunPod ↗ |
| Apple Mac Studio M4 Max (128GB) Massive unified memory for 100B+ MoE models at low cost/GB | 112 GB(546 GB/s) | RunPod | $0.95/hr | $1.19/hr | $0.011/GB | $142.8/mo | $857/mo | Deploy on RunPod ↗ |
| NVIDIA H100 SXM (80GB HBM3) Production vLLM high-concurrency API server deployment | 80 GB(3350 GB/s) | RunPod | $1.85/hr | $2.39/hr | $0.030/GB | $286.8/mo | $1721/mo | Deploy on RunPod ↗ |
| 8x NVIDIA H100 SXM Cluster (640GB) Full-scale unquantized frontier open-weights inference | 640 GB(26800 GB/s) | Lambda | $15.50/hr | $19.92/hr | $0.031/GB | $2390.4/mo | $14342/mo | Deploy on Lambda ↗ |
When Should You Rent Cloud GPUs vs. Buy Local Hardware?
Rent On-Demand Cloud GPUs
If you run models for coding sessions (3–4 hours/day), an RTX 4090 on RunPod costs only ~$70/month, requiring over 2 years of usage to match a $1,700 hardware purchase.
Buy Local Homelab Hardware
If you serve API traffic 24 hours/day, cloud rentals reach $425–$640/month. Buying an RTX 4090 or Mac Mini M4 Pro pays for itself in 3.5 to 4.5 months.
Rent Dual 3090 / H100 Pods
Running models like DeepSeek V4.1 (552B) or Muse Spark (816B) requires 112GB–640GB VRAM. Renting spot clusters eliminates $5,000–$30,000 upfront capex.
Calculate Your Exact Cloud vs. Self-Host Break-Even Point
Adjust active daily hours and electricity rates to see whether renting or buying winsLocal Hardware Configurations & Pricing
High-bandwidth VRAM specs and current market pricesNVIDIA GeForce RTX 4090 (24GB GDDR6X)
The 24GB CUDA enthusiast standard for 14B–32B Q4_K_M models
NVIDIA GeForce RTX 5090 (32GB GDDR7)
Maximum tokens/sec on 27B–35B models & Blackwell FP4 quantization
2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)
Best price-to-VRAM homelab rig for 70B Q4_K_M & Qwen 3.8 27B Q8
NVIDIA GeForce RTX 5080 (16GB GDDR7)
Blazing fast 8B–14B coding models with FP4/Q6_K precision