Runpod Pricing vs Thunder Compute (2026): H100, A100, RTX 4090

Compare Runpod vs Thunder Compute for ML workloads: pricing, GPU options, reliability, and developer experience.

Carl Peterson · Updated Oct 09, 2026 · 7 min Read

Runpod offers a broad GPU marketplace spanning P2P hardware and managed data center nodes, plus dedicated serverless inference products. Thunder Compute focuses on low-cost, persistent GPU instances for AI development.

This post covers Runpod's current pricing across GPUs, storage, and serverless, then compares it against Thunder Compute.

Takeaways

  • Thunder Compute H100 80GB: $3.20/hr. Runpod H100 80GB: $3.99/hr.
  • Thunder Compute A100 80GB: $1.09/hr. Runpod A100 80GB: $1.79/hr.
  • Runpod bills per second. Thunder Compute bills per minute and emphasizes available managed capacity with storage included.
  • Runpod network volumes cost $0.07/GB/month. Thunder Compute includes 100GB per GPU free.
  • Runpod offers 30+ GPU types including the RTX 4090 at $0.89/hr. Thunder Compute focuses on RTX A6000, L40, A100, and H100.

Runpod GPU Pricing (October 2026)

Runpod's GPU Pods are dedicated instances available across 30+ regions with per second billing.

GPU VRAM Price/hr
H100 80GB 80 GB $3.99
A100 80GB 80 GB $1.79
RTX 4090 24 GB $0.89
RTX A6000 48 GB $0.59
L40S 48 GB $1.09
Last reviewed on October 9, 2026.

Runpod Network Volume Pricing

Runpod charges separately for persistent storage through network volumes. The first 1TB costs $0.07/GB/month; storage beyond that drops to $0.05/GB/month. Network volumes persist between sessions but appear as a separate line item on every bill.

For teams storing large model checkpoints or datasets, this adds up quickly. 500GB of network volume storage runs $35/month before any compute. Thunder Compute includes 100GB per GPU at no extra charge, with additional running storage at $0.03/100GB/hr and snapshots at $0.05/GB/month.

Runpod Serverless Pricing

Runpod Serverless workers scale up when requests arrive and return to idle when jobs complete. Billing is per second of active worker time, making it cost-effective for inference workloads where persistent instances would sit idle between requests.

For the GPUs most relevant to mid-to-large model inference, Runpod Serverless rates are:

  • A6000 (48GB): $1.22/hr equivalent
  • A100 (80GB): $2.72/hr equivalent
  • H100 (80GB): $4.55/hr equivalent

Runpod Serverless supports sync and async deployment models. It suits inference APIs and short scripts. For training or long-running development sessions, Runpod Pods give more direct environment control.

Thunder Compute vs Runpod: Side-by-Side

Category Thunder Compute Runpod
H100 80GB on-demand $3.20/hr $3.99/hr
A100 80GB on-demand $1.09/hr $1.79/hr
Billing Per minute Per second
Storage included 100GB per GPU None included; network volumes $0.07/GB/month
Snapshot storage $0.05/GB/month $0.05/GB/month (standard tier)
IDE integration VS Code, Cursor, Devin Desktop extensions Pods (custom VMs), SSH, Jupyter
Serverless Not available Yes, per-second billing, scales to zero
GPU variety RTX A6000, L40, A100 80GB, H100 PCIe 30+ GPU types including consumer RTX cards
Egress fees None None
Last reviewed on October 9, 2026.

All possible configurations for Thunder Compute instances. Fields include: a production toggle, GPU type, CPU Cores, Environment Template and Storage. Instance creation on Thunder Compute

Comparing Per-Second and Per-Minute Billing

Runpod's per second billing is most useful for very short jobs or jobs that end close to a minute boundary. For sustained A100 80GB sessions, Thunder Compute's lower $1.09/hr rate matters more than billing precision against Runpod's $1.79/hr rate.

Runtime Runpod A100 per-sec at $1.79/hr Thunder Compute A100 per-min at $1.09/hr Lower Cost
30 seconds $0.015 $0.018 Runpod
72 seconds $0.036 $0.036 Same cost
5 minutes $0.149 $0.091 Thunder Compute

Pods and Serverless on Runpod

Runpod Pods are VM-like instances where you control the environment, storage, and runtime. They work well for training, long-running development, and workloads that need direct GPU access. Serverless endpoints spin up workers on demand and scale to zero between requests, billing only for active compute time.

For training-heavy workloads where an IDE-based workflow matters, Thunder Compute is simpler. For serverless inference that handles traffic spikes without pre-provisioned capacity, Runpod Serverless is the right tool.

When to Choose Each Provider

Runpod suits teams that need consumer-grade GPUs like the RTX 4090, serverless inference endpoints that scale to zero, or specific global regions not covered by Thunder Compute. Its hardware variety across 30+ regions is a genuine advantage.

Thunder Compute suits teams running training or fine-tuning sessions lasting hours or days. Available A100 and H100 capacity, persistent storage included by default, and one-click VS Code, Cursor, and Devin Desktop integration make it a practical choice for developer-first workflows at the single-node level.

Last Thoughts on Runpod Pricing

Runpod's per second billing sounds appealing, but the billing granularity only matters for sub-minute jobs.

For A100 training and fine-tuning, Thunder Compute's lower hourly rate still moves the needle.

For H100 workloads, Thunder Compute's lower headline rate, storage, managed availability, and IDE-first workflow are the main comparison points.

FAQ

How Much Does an NVIDIA H100 Cost Per Hour on Runpod?

Runpod H100 80GB is $3.99/hr on-demand, billed per second. Thunder Compute offers H100 PCIe at $3.20/hr with per-minute billing and 100GB included at no extra charge.

Is Thunder Compute Cheaper Than Runpod?

Thunder Compute is cheaper for A100 80GB at $1.09/hr versus Runpod's $1.79/hr. Thunder Compute is also cheaper for H100 80GB at $3.20/hr versus Runpod at $3.99/hr. For H100 workloads, compare price against availability, storage, and workflow requirements.

How Much Does Runpod Charge for Network Volume Storage?

Runpod network volumes cost $0.07/GB/month for the first 1TB and $0.05/GB/month thereafter. Thunder Compute includes 100GB per GPU at no extra charge. Additional running storage costs $0.03/100GB/hr; snapshots cost $0.05/GB/month.

Does Runpod Offer More GPU Variety Than Thunder Compute?

Yes. Runpod offers 30+ GPU types including consumer cards like the RTX 4090 at $0.89/hr. Thunder Compute focuses on RTX A6000, L40, A100 80GB, and H100 PCIe for AI training and inference workloads.

Which GPU Cloud Is Better for ML Training?

Thunder Compute is better for training sessions running hours or days when managed availability, per-minute billing, 100GB included per GPU, and VS Code, Cursor, and Devin Desktop integration matter more than the lowest H100 headline rate. Runpod Serverless is better for variable-traffic inference that needs to scale to zero.

Does Runpod Bill Per Second or Per Minute?

Runpod Pods bill per second. Thunder Compute bills per minute. For sustained A100 sessions, Thunder Compute's lower hourly rate has more impact on total cost than Runpod's finer billing granularity.

How Much Does Runpod Serverless Cost for H100 GPUs?

Runpod Serverless H100 costs $4.55/hr equivalent, billed per second of active worker time. A100 Serverless is $2.72/hr equivalent and A6000/A40 is $1.22/hr. Workers scale to zero when idle, so you only pay for active compute time.

What Is the Billing Breakeven Point Between Runpod and Thunder Compute?

With Runpod A100 80GB at $1.79/hr and Thunder Compute A100 80GB at $1.09/hr, Runpod is cheaper for very short runs or jobs ending close to a minute boundary. Thunder Compute is cheaper for sustained A100 sessions.