Market insights

Azure NC A100 vs Thunder Compute (September 2025): Pricing, Billing, and Flexibility

September 16, 2025
9 mins read

TL;DR

  • Cost: Thunder Compute is ~4.7 × cheaper per GPU-hour.
  • Billing: Thunder bills per second; Azure rounds up to whole minutes.
  • Storage: Thunder persistent volumes start at $0.15/GB/mo; Azure Premium SSD is $0.18/GB/mo.
  • Ease of use: One-click VS Code workspace, no quota tickets, swap CPU/RAM on the fly.

1. Raw GPU pricing

Provider SKU GPUs On-demand $/hr Billing granularity 100 GPU-hr cost
Azure Standard NC24ads A100 v4 1× A100 80 GB $3.673 per-minute (rounded) – see Azure VM pricing FAQ $367.30
Thunder Compute A100 80 GB 1× A100 80 GB $0.78 true per-second $78.00

Azure Spot for the same SKU averages $1.145/hr (Vantage), but interruptions revoke your GPU with <30 s notice—unsuitable for fine-tuning runs that aren’t checkpoint-safe.

2. Hidden line items

Cost item Azure Thunder Compute
Persistent storage Premium SSD $0.18/GB/mo $0.15/GB/mo
Snapshots Incremental snapshots billed separately Snapshots built-in, same $0.15/GB rate
Data egress from US regions $0.087/GB after first 100 GB First 3 TB per month free, then same $0.087/GB¹

¹Thunder matches Azure’s public egress rate only beyond the free tier.

3. Quotas and setup friction

  • New Azure subscriptions start with 0 N-series vCPUs; you must file a GPU quota increase request.
  • Availability is region-limited—East US 2 and West Europe frequently show capacity errors.
  • Thunder Compute accounts spin up instantly with $10 free credit, no GPU quota tickets.

4. Developer experience

Feature Azure NC A100 Thunder Compute
IDE integration Use VS Code Remote-SSH or Azure ML Studio One-click VS Code in browser
Instance re-sizing Must redeploy VM; storage detach/attach required Live RAM, vCPU, and disk tweaks without reboot
API Azure Resource Manager Simple REST & Terraform module
Pricing transparency Calculator + separate disk/network pricing All-in dashboard; per-second metering

5. When is Azure still a fit?

  • Multi-GPU scale (>8 A100s) in a single VM via NC96ads A100 v4.
  • Co-locating with other Azure PaaS services for low-latency data pipelines.

For individual fine-tunes, model inference endpoints, and bursty hackathon workloads, Thunder Compute’s pay-as-you-go model wins on both price and friction.

Conclusion

If you need a single A100 80 GB quickly, Thunder Compute costs $289 less per 100 GPU-hours and bills down to the second. Unless you’re already locked into Azure’s ecosystem or require massive multi-GPU nodes, switching cuts spend and setup time.

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