Add October 2026 cloud GPU price snapshot
Browse files- README.md +59 -0
- gpu_prices_2026-10.csv +17 -0
README.md
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---
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license: cc-by-4.0
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pretty_name: Cloud GPU Pricing Index (monthly)
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language: [en]
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tags: [gpu, cloud-computing, pricing, h100, b200, b300, h200, nvidia, mlops]
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size_categories: [n<1K]
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configs:
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- config_name: default
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data_files: "gpu_prices_*.csv"
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---
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# Cloud GPU Pricing Index
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Monthly snapshot of cloud GPU prices per GPU-hour in USD, maintained by [Nodus](https://www.nodus-compute.ai/), an AI compute platform. Use it to answer "how much does an H100 / H200 / B200 / B300 cost per hour" or to budget a training run.
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## October 2026 snapshot (Oct 8, 2026)
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| GPU | VRAM | Nodus supply price $/GPU-hr | Modal listed $/GPU-hr |
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|-|-|-|-|
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| B300 | 288 GB | 6.943 | 7.099 |
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| B200 | 180 GB | 5.500 | 6.250 |
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| H200 SXM | 141 GB | 3.593 | 4.540 |
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| H100 SXM | 80 GB | 2.600 | 3.949 |
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| A100 80GB | 80 GB | 1.090 | 2.498 |
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| A100 40GB | 40 GB | 0.904 | 2.099 |
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| RTX PRO 6000 | 96 GB | 1.350 | 3.031 |
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| L40S | 48 GB | 0.793 | 1.951 |
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| L4 | 24 GB | 0.430 | 0.799 |
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| RTX 5090 | 32 GB | 0.480 | n/a |
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| RTX 4090 | 24 GB | 0.290 | n/a |
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| RTX 3090 | 24 GB | 0.180 | n/a |
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| RTX 6000 Ada | 48 GB | 0.743 | n/a |
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| RTX A6000 | 48 GB | 0.333 | n/a |
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| RTX A4000 | 16 GB | 0.173 | n/a |
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| RTX 3070 | 8 GB | 0.133 | n/a |
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## Columns
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- `snapshot_date`: date the prices were read
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- `gpu`, `vram_gb`, `tier` (datacenter or prosumer)
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- `nodus_supply_usd_per_gpu_hr`: the hourly supply price shown on the Nodus pricing page on the snapshot date
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- `modal_listed_usd_per_gpu_hr`: Modal's published rate as shown on the Nodus pricing page (blank if not listed)
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- `source`
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## Load it
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```python
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from datasets import load_dataset
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ds = load_dataset("Viswa-k/cloud-gpu-pricing", split="train")
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```
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## Notes
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- Prices are copied from public pricing pages on the snapshot date. For the exact cost of a specific job on Nodus, run `nodus run --dry-run ...`, which prints the estimate without starting anything.
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- Reserved capacity (Beta) is quoted separately per request: https://www.nodus-compute.ai/reserved-compute/
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- Nodus freezes the hourly rate when a machine is chosen, for the whole run.
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- New files are added monthly (`gpu_prices_YYYY-MM.csv`); old snapshots are kept so you can track trends.
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Live prices: https://www.nodus-compute.ai/pricing/
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gpu_prices_2026-10.csv
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snapshot_date,gpu,vram_gb,tier,nodus_supply_usd_per_gpu_hr,modal_listed_usd_per_gpu_hr,source
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2026-10-08,B300,288,datacenter,6.943,7.099,https://www.nodus-compute.ai/pricing/
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2026-10-08,B200,180,datacenter,5.500,6.250,https://www.nodus-compute.ai/pricing/
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2026-10-08,H200 SXM,141,datacenter,3.593,4.540,https://www.nodus-compute.ai/pricing/
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2026-10-08,H100 SXM,80,datacenter,2.600,3.949,https://www.nodus-compute.ai/pricing/
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2026-10-08,A100 80GB,80,datacenter,1.090,2.498,https://www.nodus-compute.ai/pricing/
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2026-10-08,A100 40GB,40,datacenter,0.904,2.099,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX PRO 6000,96,datacenter,1.350,3.031,https://www.nodus-compute.ai/pricing/
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2026-10-08,L40S,48,datacenter,0.793,1.951,https://www.nodus-compute.ai/pricing/
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2026-10-08,L4,24,datacenter,0.430,0.799,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX 5090,32,prosumer,0.480,,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX 4090,24,prosumer,0.290,,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX 3090,24,prosumer,0.180,,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX 6000 Ada,48,prosumer,0.743,,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX A6000,48,prosumer,0.333,,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX A4000,16,prosumer,0.173,,https://www.nodus-compute.ai/pricing/
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2026-10-08,RTX 3070,8,prosumer,0.133,,https://www.nodus-compute.ai/pricing/
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