{ "name": "Cloud GPU Price Index", "description": "Weekly median publicly listed on-demand price of one NVIDIA H100 SXM GPU-hour across cloud GPU providers tracked by GPU Economy.", "unit": "USD per GPU per hour", "method": "Median of the latest publicly listed on-demand H100 SXM rate of each (provider, region) pair, so a provider listing several regions enters once per region; node-priced offers divided by GPU count; spot and reserved excluded; marketplace floors (Vast.ai, price_scope=marketplace_floor) excluded; quotes listed in any currency other than USD excluded; a week is published only when at least 8 providers contributed.", "index_base100_method": "Chain-linked index, base week = 100: each week's link is the geometric mean of week-over-week price ratios over the (provider, region) pairs quoted in both weeks; the index is the cumulative product. A provider or region joining or leaving contributes no ratio and cannot move it.", "weighting": "One quote per (provider, region): the newest listed rate of each pair in the week. A provider that lists several regions enters the median once per region. weighting_check recomputes the same quotes as the median of each provider's own median: a check on what that rule costs, not a second index. A quote count counts rate cards, not GPUs available to book.", "min_providers": 8, "exclusion_rules": { "not_confirmed_48h": "not read again within 48 hours of the newest scrape (for a closed week: of that week's last scrape)", "marketplace_floor": "a marketplace floor (Vast.ai): it moves with supply and is not a listed rate card", "eur_listing": "listed in a currency other than USD: a converted figure would move with the exchange rate" }, "markets_included": "Community-cloud and serverless list prices do enter the index (today RunPod Community Cloud and Modal): each is a fixed hourly rate the provider publishes for one H100, not a marketplace floor. The card median elsewhere on the site leaves community capacity out, because it ranks rate cards you can hold; the index measures listed prices. Leaving the one community quote out would have moved each published week by about $0.025.", "operator_classes": { "method": "series[].by_operator_class is the same weekly median over the same quotes, split by providers.operator_class. One more cut of the index, not a separate index: the published value keeps its definition, and the classes are not guarded by min_providers on their own - read each with its providers count.", "hyperscaler": "AWS, Azure, Google Cloud and Oracle: general-purpose clouds that also rent GPUs", "specialist": "GPU clouds with their own price list", "marketplace": "always null: prices set per offer by hosts, read as a marketplace floor, and floors never enter the index" }, "methodology_version": "1.33.64", "methodology_changelog": "https://gpueconomy.com/methodology/changelog", "license": "CC BY 4.0", "attribution": "Cloud GPU Price Index, GPU Economy (https://gpueconomy.com/price-index)", "archived_snapshots": { "doi": "10.5281/zenodo.22706541", "zenodo": "https://doi.org/10.5281/zenodo.22706541", "hugging_face": "https://huggingface.co/datasets/gpueconomy/cloud-gpu-price-index" }, "first_published": "2026-09-07", "history_provenance": { "series_starts": "2026-09-07", "statement": "The series starts with the week of September 7, 2026, the first week published. Every weekly value is computed from reads made in that same week - the newest read of each provider and region, counted only if it was confirmed within 48 hours of the week's last scrape - and published with its receipt, the list of those quotes. No value was entered by hand, reconstructed after the fact or carried over from an earlier week. Closed months are published as they were first published and never recomputed.", "not_part_of_the_series": "price-index-history.csv is a separate series under its own name, rebuilt after the fact from a public price catalog, whose repository is named at https://gpueconomy.com/methodology#second-hand-history, for the weeks before September 2026. It is second-hand, and it is never merged into or back-filled with this one." }, "observations": { "count": 1074073, "since": "2026-09-06T18:45:30.144715+00:00", "newest": "2026-11-05T00:40:26.482104+00:00", "providers": 122, "gpu_models": 83, "hourly_runs": 1444, "what_one_is": "one read of one listed rate from a provider's own price page, with its source URL and read time; the same rate read every hour counts every hour. Not a transaction and not availability." }, "reproduce": "https://gpueconomy.com/price-index/reproduce", "page_delivery": { "client_javascript": false, "statement": "gpueconomy.com serves no JavaScript: every price in every table is in the HTML the server sends, as a plain table with its source link and read time. The only script elements are JSON-LD, and the deploy check fails if another appears.", "details": "https://gpueconomy.com/methodology#no-javascript" }, "data_updated_at": "2026-11-05T00:40:26.482104+00:00", "current": { "week_start": "2026-11-02", "vintage": "provisional", "status": "published", "usd_per_gpu_hour": 3.27, "p25_usd_per_gpu_hour": 2.96, "p75_usd_per_gpu_hour": 4.3149999999999995, "quotes": 38, "providers": 36, "weighting_check": { "median_of_provider_medians": 3.27, "difference_usd": 0, "quotes": 38, "providers": 36, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 291 }, "withheld_reason": null, "constituents": [ { "provider": "Cudo Compute", "provider_page": "https://gpueconomy.com/providers/cudo", "region": "no-kristiansand-1", "price_scope": "gpu_only", "usd_per_gpu_hour": 1.79, "listed_as": "per GPU", "source_url": "https://www.cudocompute.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "HPC-AI.COM", "provider_page": "https://gpueconomy.com/providers/hpcai", "region": null, "price_scope": "advertised_from", "usd_per_gpu_hour": 2.42, "listed_as": "per GPU", "source_url": "https://www.hpc-ai.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Denvr Dataworks", "provider_page": "https://gpueconomy.com/providers/denvr", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 2.45, "listed_as": "per GPU", "source_url": "https://www.denvr.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "GPU.ai", "provider_page": "https://gpueconomy.com/providers/gpuai", "region": null, "price_scope": "advertised_from", "usd_per_gpu_hour": 2.54, "listed_as": "per GPU", "source_url": "https://gpu.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "OpenRelay", "provider_page": "https://gpueconomy.com/providers/openrelay", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 2.6, "listed_as": "per GPU", "source_url": "https://openrelay.inc/gpus", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "RunPod", "provider_page": "https://gpueconomy.com/providers/runpod", "region": "Community Cloud", "price_scope": "instance", "usd_per_gpu_hour": 2.69, "listed_as": "per GPU", "source_url": "https://www.runpod.io/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Taiga Cloud (Northern Data Group)", "provider_page": "https://gpueconomy.com/providers/taiga", "region": null, "price_scope": "advertised_from", "usd_per_gpu_hour": 2.7, "listed_as": "per GPU", "source_url": "https://northerndata.de/taiga-cloud-ai-pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Bitdeer AI", "provider_page": "https://gpueconomy.com/providers/bitdeer", "region": null, "price_scope": "advertised_from", "usd_per_gpu_hour": 2.9, "listed_as": "per GPU", "source_url": "https://www.bitdeer.ai/en/pricing/gpu-compute", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Atlas Cloud", "provider_page": "https://gpueconomy.com/providers/atlascloud", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 2.95, "listed_as": "per GPU", "source_url": "https://www.atlascloud.ai/pricing/gpu", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Limestone Networks", "provider_page": "https://gpueconomy.com/providers/limestone", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 2.95, "listed_as": "23.6 USD per 8-GPU node", "source_url": "https://limestonenetworks.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Civo", "provider_page": "https://gpueconomy.com/providers/civo", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 2.99, "listed_as": "per GPU", "source_url": "https://www.civo.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "FPT AI Factory", "provider_page": "https://gpueconomy.com/providers/fpt", "region": "Southeast Asia", "price_scope": "instance", "usd_per_gpu_hour": 2.99, "listed_as": "per GPU", "source_url": "https://factory.fpt.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "HexGrid", "provider_page": "https://gpueconomy.com/providers/hexgrid", "region": "Secure Cloud", "price_scope": "instance", "usd_per_gpu_hour": 2.99, "listed_as": "per GPU", "source_url": "https://hexgrid.cloud/gpus", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Geodd", "provider_page": "https://gpueconomy.com/providers/geodd", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3, "listed_as": "per GPU", "source_url": "https://geodd.io/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Massed Compute", "provider_page": "https://gpueconomy.com/providers/massed", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.14, "listed_as": "per GPU", "source_url": "https://vm.massedcompute.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Hyperbolic", "provider_page": "https://gpueconomy.com/providers/hyperbolic", "region": null, "price_scope": "advertised_from", "usd_per_gpu_hour": 3.19, "listed_as": "per GPU", "source_url": "https://www.hyperbolic.ai/marketplace", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Hyperstack", "provider_page": "https://gpueconomy.com/providers/hyperstack", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.2, "listed_as": "per GPU", "source_url": "https://www.hyperstack.cloud/gpu-pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Thunder Compute", "provider_page": "https://gpueconomy.com/providers/thunder", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.2, "listed_as": "per GPU", "source_url": "https://www.thundercompute.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Canopy Wave", "provider_page": "https://gpueconomy.com/providers/canopywave", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.25, "listed_as": "per GPU", "source_url": "https://canopywave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "FarmGPU", "provider_page": "https://gpueconomy.com/providers/farmgpu", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.29, "listed_as": "per GPU", "source_url": "https://farmgpu.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Jarvislabs", "provider_page": "https://gpueconomy.com/providers/jarvislabs", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.49, "listed_as": "per GPU", "source_url": "https://jarvislabs.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Elice Cloud", "provider_page": "https://gpueconomy.com/providers/elice", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.57, "listed_as": "per GPU", "source_url": "https://elice.io/en/cloud/pricing/eci", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "VESSL AI", "provider_page": "https://gpueconomy.com/providers/vessl", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.57, "listed_as": "per GPU", "source_url": "https://vessl.ai/en/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Barrack AI", "provider_page": "https://gpueconomy.com/providers/barrack", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.59, "listed_as": "per GPU", "source_url": "https://barrack.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Modal", "provider_page": "https://gpueconomy.com/providers/modal", "region": null, "price_scope": "gpu_only", "usd_per_gpu_hour": 3.9492, "listed_as": "per GPU", "source_url": "https://modal.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "RunPod", "provider_page": "https://gpueconomy.com/providers/runpod", "region": "Secure Cloud", "price_scope": "instance", "usd_per_gpu_hour": 3.99, "listed_as": "per GPU", "source_url": "https://www.runpod.io/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Together AI", "provider_page": "https://gpueconomy.com/providers/together", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 3.99, "listed_as": "per GPU", "source_url": "https://www.together.ai/gpu-clusters", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Lambda", "provider_page": "https://gpueconomy.com/providers/lambda", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 4.09, "listed_as": "per GPU", "source_url": "https://lambda.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Neysa", "provider_page": "https://gpueconomy.com/providers/neysa", "region": null, "price_scope": "advertised_from", "usd_per_gpu_hour": 4.39, "listed_as": "per GPU", "source_url": "https://neysa.ai/pricing/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Paperspace", "provider_page": "https://gpueconomy.com/providers/paperspace", "region": "GPU Droplets", "price_scope": "instance", "usd_per_gpu_hour": 4.41, "listed_as": "per GPU", "source_url": "https://www.digitalocean.com/pricing/gpu-droplets", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Nebius", "provider_page": "https://gpueconomy.com/providers/nebius", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 4.5, "listed_as": "per GPU", "source_url": "https://nebius.com/prices", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Verda", "provider_page": "https://gpueconomy.com/providers/datacrunch", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 4.8888, "listed_as": "39.11 USD per 8-GPU node", "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Paperspace", "provider_page": "https://gpueconomy.com/providers/paperspace", "region": "Paperspace", "price_scope": "instance", "usd_per_gpu_hour": 5.95, "listed_as": "per GPU", "source_url": "https://docs.digitalocean.com/products/paperspace/pricing/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "CoreWeave", "provider_page": "https://gpueconomy.com/providers/coreweave", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 6.155, "listed_as": "49.24 USD per 8-GPU node", "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Amazon Web Services", "provider_page": "https://gpueconomy.com/providers/aws", "region": "us-east-1", "price_scope": "instance", "usd_per_gpu_hour": 6.88, "listed_as": "55.04 USD per 8-GPU node", "source_url": "https://aws.amazon.com/ec2/pricing/on-demand/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Google Cloud", "provider_page": "https://gpueconomy.com/providers/gcp", "region": "us-west8", "price_scope": "gpu_only", "usd_per_gpu_hour": 9.7966, "listed_as": "per GPU", "source_url": "https://cloud.google.com/products/compute/pricing/accelerator-optimized", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Oracle Cloud (OCI)", "provider_page": "https://gpueconomy.com/providers/oracle", "region": null, "price_scope": "instance", "usd_per_gpu_hour": 10, "listed_as": "per GPU", "source_url": "https://www.oracle.com/cloud/price-list/#pricing-compute", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider": "Microsoft Azure", "provider_page": "https://gpueconomy.com/providers/azure", "region": "eastus", "price_scope": "instance", "usd_per_gpu_hour": 11.061, "listed_as": "88.488 USD per 8-GPU node", "source_url": "https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" } ] }, "series": [ { "week_start": "2026-09-07", "vintage": "final", "usd_per_gpu_hour": 3.92, "quotes": 20, "providers": 18, "index_base100": 100, "p25_usd_per_gpu_hour": 3.1225, "p75_usd_per_gpu_hour": 6.0013, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.67, "quotes": 16, "providers": 14 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.92, "difference_usd": 0, "quotes": 20, "providers": 18, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 600 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W37.csv" }, { "week_start": "2026-09-14", "vintage": "final", "usd_per_gpu_hour": 3.9, "quotes": 21, "providers": 19, "index_base100": 100.1, "p25_usd_per_gpu_hour": 2.89, "p75_usd_per_gpu_hour": 5.95, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.49, "quotes": 17, "providers": 15 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.9, "difference_usd": 0, "quotes": 21, "providers": 19, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 567 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W38.csv" }, { "week_start": "2026-09-21", "vintage": "final", "usd_per_gpu_hour": 3.7, "quotes": 26, "providers": 24, "index_base100": 100.4, "p25_usd_per_gpu_hour": 2.99, "p75_usd_per_gpu_hour": 4.405, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.37, "quotes": 22, "providers": 20 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.7, "difference_usd": 0, "quotes": 26, "providers": 24, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 444 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W39.csv" }, { "week_start": "2026-09-28", "vintage": "final", "usd_per_gpu_hour": 3.49, "quotes": 31, "providers": 29, "index_base100": 102.6, "p25_usd_per_gpu_hour": 2.995, "p75_usd_per_gpu_hour": 4.4, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.2, "quotes": 27, "providers": 25 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.25, "difference_usd": -0.24, "quotes": 31, "providers": 29, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 364 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W40.csv" }, { "week_start": "2026-10-05", "vintage": "final", "usd_per_gpu_hour": 3.49, "quotes": 33, "providers": 31, "index_base100": 104.2, "p25_usd_per_gpu_hour": 2.99, "p75_usd_per_gpu_hour": 4.39, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.2, "quotes": 29, "providers": 27 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.34, "difference_usd": -0.15, "quotes": 33, "providers": 31, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 340 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W41.csv" }, { "week_start": "2026-10-12", "vintage": "final", "usd_per_gpu_hour": 3.53, "quotes": 36, "providers": 34, "index_base100": 105, "p25_usd_per_gpu_hour": 2.99, "p75_usd_per_gpu_hour": 4.395, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.23, "quotes": 32, "providers": 30 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.42, "difference_usd": -0.11, "quotes": 36, "providers": 34, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 309 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W42.csv" }, { "week_start": "2026-10-19", "vintage": "final", "usd_per_gpu_hour": 3.39, "quotes": 38, "providers": 36, "index_base100": 105.1, "p25_usd_per_gpu_hour": 2.99, "p75_usd_per_gpu_hour": 4.29, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.23, "quotes": 34, "providers": 32 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.32, "difference_usd": -0.07, "quotes": 38, "providers": 36, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 291 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W43.csv" }, { "week_start": "2026-10-26", "vintage": "final", "usd_per_gpu_hour": 3.39, "quotes": 40, "providers": 38, "index_base100": 106.4, "p25_usd_per_gpu_hour": 2.99, "p75_usd_per_gpu_hour": 4.09, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.23, "quotes": 36, "providers": 34 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.32, "difference_usd": -0.07, "quotes": 40, "providers": 38, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 275 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W44.csv" }, { "week_start": "2026-11-02", "vintage": "provisional", "usd_per_gpu_hour": 3.25, "quotes": 39, "providers": 37, "index_base100": 105.3, "p25_usd_per_gpu_hour": 2.97, "p75_usd_per_gpu_hour": 4.24, "by_operator_class": { "hyperscaler": { "usd_per_gpu_hour": 9.9, "quotes": 4, "providers": 4 }, "specialist": { "usd_per_gpu_hour": 3.2, "quotes": 35, "providers": 33 }, "marketplace": null }, "weighting_check": { "median_of_provider_medians": 3.25, "difference_usd": 0, "quotes": 39, "providers": 37, "largest_provider_id": "paperspace", "largest_provider_quotes": 2, "hhi": 283 }, "receipt": "https://gpueconomy.com/price-index/receipts/2026-W45.csv" } ], "withheld": [], "hourly": { "description": "The Cloud GPU Price Index computed at every hourly scrape. Not a second index: a week’s value is its last point, rounded to the cent (the 48-hour window of a Sunday-night scrape lies inside its week).", "method": "At every hourly scrape: the median of the newest USD on-demand H100 SXM listed rate of each (provider, region), read within the 48 hours before that scrape, marketplace floors excluded; published when at least 8 providers entered, withheld (no value) otherwise. The same rule as the weekly index, applied at each scrape instead of at the end of the week.", "file": "https://gpueconomy.com/price-index-hourly.csv", "receipts": "https://gpueconomy.com/price-index/hourly/{YYYY-Www}.csv", "points": 1443, "withheld_points": 2, "first_point_at": "2026-09-06T18:45:30.144715+00:00", "newest": { "scraped_at": "2026-11-05T00:40:26.482104+00:00", "usd_per_gpu_hour": 3.25, "quotes": 39, "providers": 37, "status": "published" } }, "monthly": { "description": "The monthly average of the hourly index over a fixed monthly panel: the value this index offers as a reference for a period. A closed month is frozen and never revised.", "method": "The arithmetic mean over a calendar month (UTC) of the hourly index, each hour taken as the median of the month’s fixed panel at that scrape (hours with fewer than 8 panel providers left out); published when such hours cover at least 75% of the month, frozen at the first scrape of the next month and never recomputed.", "panel_rule": "A month’s panel is every (provider, region) present in at least 90% of the published hourly points of the 14 days before the 24th of the previous month, 00:00 UTC, decided by the database at the first scrape after that instant and never changed; a provider that qualifies later enters the next month.", "file": "https://gpueconomy.com/price-index-monthly.csv", "months": [ { "month": "2026-09", "usd_per_gpu_hour": 3.883267, "status": "published", "vintage": "final", "points": 589, "hours": 720, "coverage": 0.8181, "panel": "open", "panel_pairs": 0, "panel_file": null, "frozen_at": "2026-10-01T00:42:48.185477+00:00" }, { "month": "2026-10", "usd_per_gpu_hour": 4.197302, "status": "published", "vintage": "final", "points": 750, "hours": 744, "coverage": 1, "panel": "fixed", "panel_pairs": 17, "panel_file": "https://gpueconomy.com/price-index/panel/2026-10.csv", "frozen_at": "2026-11-01T00:42:58.144288+00:00" }, { "month": "2026-11", "usd_per_gpu_hour": 3.830878, "status": "published", "vintage": "provisional", "points": 102, "hours": 97, "coverage": 1, "panel": "fixed", "panel_pairs": 31, "panel_file": "https://gpueconomy.com/price-index/panel/2026-11.csv", "frozen_at": null } ] }, "market_discounts": { "description": "Typical discount of spot and committed rates against the same provider's on-demand rate, across every card tracked. Not part of the index.", "method": "Each live spot or committed quote is set against the same provider's on-demand rate for the same card, region and price scope (its cheapest, when several); where the provider lists that on-demand rate with no region at all, it is its rate everywhere and serves as the base. Two different named regions are never paired, and a quote with no such rate beside it is not a pair. A term's figure is the median of the pairs' per cent differences across every card we track, one pair per quote, so a provider listing many cards or regions brings many pairs. A term is stated only with 3 or more providers behind it; below that it is withheld with its providers named. Reserved rates with no stated term (a monthly rate, a \"commit\" price) are not one term and are left out. None of these rates enters the Price Index.", "min_providers": 3, "as_of": "2026-11-05T00:40:26.482104+00:00", "terms": [ { "market": "spot", "status": "published", "median_pct": -50, "min_pct": -81.5, "max_pct": -9.9, "pairs": 66, "providers": 13, "provider_ids": [ "azure", "coreweave", "datacrunch", "daytona", "elice", "hyperstack", "lyceum", "meshive", "mimicpc", "paperspace", "vultr", "yandex", "yottalabs" ], "withheld_reason": null, "rate_pairs": [ { "provider_id": "azure", "gpu_id": "v100", "region": "eastus", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.5655, "on_demand_usd_per_gpu_hour": 3.06, "difference_usd": -2.4945, "difference_pct": -81.5, "source_url": "https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "azure", "gpu_id": "h100-sxm", "region": "eastus", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.0441, "on_demand_usd_per_gpu_hour": 11.061, "difference_usd": -9.0169, "difference_pct": -81.5, "source_url": "https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "azure", "gpu_id": "mi300x", "region": "eastus2", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 1.1088, "on_demand_usd_per_gpu_hour": 6, "difference_usd": -4.8912, "difference_pct": -81.5, "source_url": "https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "azure", "gpu_id": "a100-40", "region": "westus2", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.7479, "on_demand_usd_per_gpu_hour": 3.3996, "difference_usd": -2.6517, "difference_pct": -78, "source_url": "https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yandex", "gpu_id": "t4", "region": null, "price_scope": "gpu_only", "min_commitment": null, "usd_per_gpu_hour": 0.215, "on_demand_usd_per_gpu_hour": 0.8604, "difference_usd": -0.6454, "difference_pct": -75, "source_url": "https://yandex.cloud/ru/price-list?services=dn28okfvqh19eiue6l2m", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yandex", "gpu_id": "v100-32", "region": null, "price_scope": "gpu_only", "min_commitment": null, "usd_per_gpu_hour": 0.8, "on_demand_usd_per_gpu_hour": 3.1992, "difference_usd": -2.3992, "difference_pct": -75, "source_url": "https://yandex.cloud/ru/price-list?services=dn28okfvqh19eiue6l2m", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yottalabs", "gpu_id": "h100", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.95, "on_demand_usd_per_gpu_hour": 2.56, "difference_usd": -1.61, "difference_pct": -62.9, "source_url": "https://www.yottalabs.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "h100-sxm", "region": "Europe", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.4388, "on_demand_usd_per_gpu_hour": 6.155, "difference_usd": -3.7162, "difference_pct": -60.4, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "h100-sxm", "region": "North America", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.4638, "on_demand_usd_per_gpu_hour": 6.155, "difference_usd": -3.6912, "difference_pct": -60, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yandex", "gpu_id": "a100-80", "region": null, "price_scope": "gpu_only", "min_commitment": null, "usd_per_gpu_hour": 1.9989, "on_demand_usd_per_gpu_hour": 4.9972, "difference_usd": -2.9983, "difference_pct": -60, "source_url": "https://yandex.cloud/ru/price-list?services=dn28okfvqh19eiue6l2m", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yottalabs", "gpu_id": "rtx-6000-ada", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.3888, "on_demand_usd_per_gpu_hour": 0.97, "difference_usd": -0.5812, "difference_pct": -59.9, "source_url": "https://www.yottalabs.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yottalabs", "gpu_id": "b300", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 3.1, "on_demand_usd_per_gpu_hour": 7.64, "difference_usd": -4.54, "difference_pct": -59.4, "source_url": "https://www.yottalabs.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "h200", "region": "Europe", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.58, "on_demand_usd_per_gpu_hour": 6.305, "difference_usd": -3.725, "difference_pct": -59.1, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "yottalabs", "gpu_id": "b200", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.2, "on_demand_usd_per_gpu_hour": 5.37, "difference_usd": -3.17, "difference_pct": -59, "source_url": "https://www.yottalabs.ai/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "h200", "region": "North America", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.6163, "on_demand_usd_per_gpu_hour": 6.305, "difference_usd": -3.6887, "difference_pct": -58.5, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "l40s", "region": "North America", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.985, "on_demand_usd_per_gpu_hour": 2.25, "difference_usd": -1.265, "difference_pct": -56.2, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "a100-80", "region": "Europe", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 1.1888, "on_demand_usd_per_gpu_hour": 2.7, "difference_usd": -1.5112, "difference_pct": -56, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "a100-80", "region": "North America", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 1.2063, "on_demand_usd_per_gpu_hour": 2.7, "difference_usd": -1.4937, "difference_pct": -55.3, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "rtx-pro-6000", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 1.195, "on_demand_usd_per_gpu_hour": 2.5, "difference_usd": -1.305, "difference_pct": -52.2, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "paperspace", "gpu_id": "mi350x", "region": "GPU Droplets", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 3, "on_demand_usd_per_gpu_hour": 6.16, "difference_usd": -3.16, "difference_pct": -51.3, "source_url": "https://www.digitalocean.com/pricing/gpu-droplets", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "coreweave", "gpu_id": "b200", "region": "North America", "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 4.2638, "on_demand_usd_per_gpu_hour": 8.6, "difference_usd": -4.3362, "difference_pct": -50.4, "source_url": "https://www.coreweave.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "lyceum", "gpu_id": "h200", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 3.09, "on_demand_usd_per_gpu_hour": 6.19, "difference_usd": -3.1, "difference_pct": -50.1, "source_url": "https://lyceum.technology/resources/pricing/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "gb300", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 6.6525, "on_demand_usd_per_gpu_hour": 13.305, "difference_usd": -6.6525, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "b300", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 5.785, "on_demand_usd_per_gpu_hour": 11.57, "difference_usd": -5.785, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "b200", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 4.5238, "on_demand_usd_per_gpu_hour": 9.0475, "difference_usd": -4.5237, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "h200", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 3.1875, "on_demand_usd_per_gpu_hour": 6.375, "difference_usd": -3.1875, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "h100-sxm", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 2.4445, "on_demand_usd_per_gpu_hour": 4.8888, "difference_usd": -2.4443, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "a100-80", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 1.1465, "on_demand_usd_per_gpu_hour": 2.2925, "difference_usd": -1.146, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "a100-40", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.8205, "on_demand_usd_per_gpu_hour": 1.641, "difference_usd": -0.8205, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "v100", "region": null, "price_scope": "instance", "min_commitment": null, "usd_per_gpu_hour": 0.12, "on_demand_usd_per_gpu_hour": 0.24, "difference_usd": -0.12, "difference_pct": -50, "source_url": "https://verda.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "datacrunch", "gpu_id": "rtx-pro-6000", "region": null, "price_scope": "instance", "min_commitment": null, 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"2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "civo", "gpu_id": "h200", "region": null, "price_scope": "instance", "min_commitment": "3yr", "usd_per_gpu_hour": 2.99, "on_demand_usd_per_gpu_hour": 3.49, "difference_usd": -0.5, "difference_pct": -14.3, "source_url": "https://www.civo.com/pricing", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "atlantic", "gpu_id": "h100-nvl", "region": null, "price_scope": "instance", "min_commitment": "3yr", "usd_per_gpu_hour": 3.583, "on_demand_usd_per_gpu_hour": 3.941, "difference_usd": -0.358, "difference_pct": -9.1, "source_url": "https://www.atlantic.net/gpu-server-hosting/gpu-cloud-hosting/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" }, { "provider_id": "atlantic", "gpu_id": "l40s", "region": null, "price_scope": "instance", "min_commitment": "3yr", "usd_per_gpu_hour": 1.5755, "on_demand_usd_per_gpu_hour": 1.668, "difference_usd": -0.0925, "difference_pct": -5.5, "source_url": "https://www.atlantic.net/gpu-server-hosting/gpu-cloud-hosting/", "scraped_at": "2026-11-05T00:40:26.482104+00:00" } ] } ] }, "historical_series": { "name": "Historical H100 series, reconstructed from the SkyPilot catalog", "description": "Second-hand: weekly median of the cheapest per-GPU on-demand H100 SXM instance per provider as published in skypilot-org/skypilot-catalog (Apache 2.0) at the end of each ISO week. We vouch that the catalog published the number on that date, not that the provider page did; every row links to the exact commit. Not the same panel as the series above and never merged with it.", "source": "https://github.com/skypilot-org/skypilot-catalog", "min_providers": 4, "index_base100_method": "Chain-linked index, base week = 100: each week's link is the geometric mean of week-over-week price ratios over the (provider, region) pairs quoted in both weeks; the index is the cumulative product. A provider or region joining or leaving contributes no ratio and cannot move it.", "points": [ { "week_start": "2025-01-06", "usd_per_gpu_hour": 7.24, "quotes": 4, "providers": 4, "index_base100": 100 }, { "week_start": "2025-01-13", "usd_per_gpu_hour": 7.24, "quotes": 4, "providers": 4, "index_base100": 100 }, { "week_start": "2025-01-20", "usd_per_gpu_hour": 7.24, "quotes": 4, "providers": 4, "index_base100": 100 }, { "week_start": "2025-01-27", "usd_per_gpu_hour": 7.24, "quotes": 4, "providers": 4, "index_base100": 100 }, { "week_start": "2025-02-03", "usd_per_gpu_hour": 4.69, "quotes": 5, "providers": 5, "index_base100": 100 }, { "week_start": "2025-02-10", "usd_per_gpu_hour": 4.57, "quotes": 5, "providers": 5, "index_base100": 85.9 }, { "week_start": "2025-02-17", "usd_per_gpu_hour": 4.57, "quotes": 5, "providers": 5, "index_base100": 85.9 }, { "week_start": "2025-02-24", "usd_per_gpu_hour": 4.57, "quotes": 5, "providers": 5, "index_base100": 85.9 }, { "week_start": "2025-03-03", 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