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Runpod Pricing (July 2025) vs Thunder Compute
Runpod Pricing (July 2025) vs Thunder Compute: Cheapest GPUs
Published:
Jul 25, 2025
Last updated:
Jul 25, 2025

If you’re comparing Runpod’s GPU pricing to other clouds, you’ll notice multiple product lines (Community Cloud, Secure Cloud, Pods, Serverless) and per‑second billing. Below is a concise, factual breakdown of Runpod’s current rates and how they stack up against Thunder Compute.
Sources:
TL;DR
Runpod H100 80GB starts at $1.99/hr (Community Cloud). See the Runpod Pricing page.
Thunder Compute H100 80GB is $1.47/hr on-demand, with VS Code and persistent storage built in. See Thunder Compute Pricing.
Both are billed per-second.
Runpod Pricing Snapshot (July 2025)
GPU | Product / Tier | Starting Price |
---|---|---|
H100 80GB (PCIe) | Community Cloud | $1.99/hr |
H100 80GB (PCIe) | Secure Cloud | $2.39/hr |
A100 80GB | Community Cloud | $1.64/hr |
RTX 4090 | Community Cloud | $0.34/hr |
Check for changes on the Runpod Pricing site.
Runpod advertises thousands of GPUs across 30+ regions. See the Runpod Regions page.
Thunder Compute vs Runpod: Quick Feature & Price Comparison
Factor | Thunder Compute | Runpod |
---|---|---|
H100 80GB On-demand | $1.47/hr | $1.99/hr (Community) / $2.39/hr (Secure) |
A100 80GB On-demand | $0.78/hr | $1.64/hr |
Billing | Per second | Per second |
IDE/Dev Experience | Native in VS Code, persistent storage, snapshots, hot-swaps | Pods (custom VMs) or Serverless endpoints; VS Code not built-in |
Storage Pricing | Persistent disk by default & expandable for $0.15/GB/month | Network volumes $0.07/GB/month (first 1 TB), $0.05 thereafter |
Setup Time | One-click instance launch | Pods or Serverless setup (still fast, but more choices) |
Target Users | ML engineers who want low-friction dev workflow | Teams needing consumer hardware or serverless inference |
See Thunder Compute Pricing, Runpod Pricing, and Runpod Storage Docs for details.
When Runpod Might Be Better for You
Serverless inference at scale. Runpod’s Serverless endpoints (sync/async) are turnkey. Read the Runpod Serverless docs.
Specific global regions. If you must deploy in a specific country/region, check Runpod’s region list.
Broader hardware selection. If you need RTX cards, crowdsourcing through RunPod is your only option.
When Thunder Compute Is the Cheaper, Easier Choice
Training or fine-tuning sessions that run hours or days. Hourly billing is fine, and base rates on H100/A100 are lower. See Thunder Compute Pricing.
Developer-first workflow in VS Code. Launch a GPU and start coding instantly—no extra setup for storage, snapshots, or hot-swaps. Check the Thunder Compute homepage.
Built-in persistent storage. No separate network volume line items to watch.
Pods vs Serverless on Runpod (What Those Terms Mean)
Pods: Traditional VM-like instances where you manage the environment—best for training or long-running tasks. (Runpod Pods docs)
Serverless: Pay only while your code runs; perfect for inference endpoints or short scripts. (Runpod Serverless docs)
If your workload is training-heavy and you value an IDE-based experience, Thunder Compute is likely simpler.

Carl Peterson
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