DEV Community

VoltageGPU
VoltageGPU

Posted on

Why I Stopped Using RunPod (And Where I Went Instead)

Quick Answer: I switched from RunPod to VoltageGPU because:

  • RTX 4090s are 49% cheaper ($0.18/hr vs $0.35/hr)
  • A100s are 41% cheaper ($1.48/hr vs $2.49/hr)
  • Per-second billing saved me $37 last month on short jobs
  • Deploys take <60 seconds vs 3-5 minutes on RunPod

TL;DR: After 6 months and $2,300 spent on RunPod, I benchmarked VoltageGPU and saved 42% on average. Here’s the exact cost breakdown and migration steps.

The Cost Comparison

Live prices as of today (RunPod vs VoltageGPU):

GPU RunPod Price VoltageGPU Price Savings
RTX 4090 $0.35/hr $0.18/hr 49%
A100 80GB $2.49/hr $1.48/hr 41%
H100 80GB $3.99/hr $3.47/hr 13%

Note: H100 is actually 13% more expensive on RunPod, but VoltageGPU has limited availability (23 H100s live now).

What I Gained

  1. Per-second billing: My 7-minute fine-tuning jobs now cost $0.02 instead of $0.35 (RunPod’s 1-hour minimum)
  2. Faster deploys: curl-based API vs web UI clicks (example):
   # Deploy an A100 in 30s  
   curl -X POST "https://api.voltagegpu.com/v1/pods" \  
     -H "Authorization: Bearer YOUR_KEY" \  
     -d '{"gpu_type":"a100", "name":"my-pod"}'  
Enter fullscreen mode Exit fullscreen mode
  1. OpenAI-compatible inference: Zero code changes when switching from RunPod’s custom API

What I Lost

  • Fewer GPUs available: VoltageGPU had 155 H200s vs RunPod’s ~500 when I checked
  • No community credits: RunPod gives free credits for social posts (but their $0.35/hr RTX 4090 still costs 2x more)

Migration Steps

  1. Export your RunPod data:
   # RunPod’s CLI (install via pip)  
   runpod get pods --all > runpod_backup.json  
Enter fullscreen mode Exit fullscreen mode
  1. Deploy equivalent pods:
   # VoltageGPU’s Python SDK  
   from voltagegpu import Pod  
   pod = Pod.create(gpu_type="a100", cloud="aws")  # Or 'lambda', 'azure'  
Enter fullscreen mode Exit fullscreen mode
  1. Update inference endpoints: Just change the base URL if using OpenAI SDK:
   openai.api_base = "https://api.voltagegpu.com/v1"  
Enter fullscreen mode Exit fullscreen mode

Why This Matters

For my 100-hour/month workload:

  • RunPod RTX 4090: $35
  • VoltageGPU RTX 4090: $18 That’s $204/year saved per GPU — enough to fund 1,133 extra inference hours.

Full docs: VoltageGPU API Reference

Top comments (0)