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Runpod Pricing (July 2025) vs Thunder Compute

Runpod Pricing (July 2025) vs Thunder Compute: Cheapest GPUs

Published:

Jul 25, 2025

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Last updated:

Jul 25, 2025

Runpod vs Thunder Compute

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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