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Azure NC A100 vs Thunder Compute (Aug 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 1, 2025

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Last updated:

Aug 1, 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

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.

Carl Peterson

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