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Azure NC A100 vs Thunder Compute (September 2025): Pricing, Billing, and Flexibility Compared
One-page snapshot of how Microsoft Azure’s NC A100 instances stack up against Thunder Compute’s pay-as-you-go A100 80 GB GPUs.
Published:
Aug 7, 2025
Last updated:
Sep 16, 2025

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 | 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 | $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.

Carl Peterson
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