Shadeform – Single Platform and API for Provisioning GPUs
Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…
Shadeform – Single Platform and API for Provisioning GPUs launched on August 17, 2023 with 62 votes, #1,450 of 4,347 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Shadeform is a GPU marketplace and provisioning platform that aggregates eight or more GPU providers into a single interface and API. Users can view live availability and pricing across the market, then deploy and reserve on-demand GPU instances like A100s and H100s. It is designed for individuals, startups, and organizations needing access to high-performance GPUs for tasks like training and running large language models, addressing GPU capacity constraints across major cloud providers.
written from the facts on this page · September 2026
From the sources
Efficiently develop, train, and deploy AI models in any cloud environment. Access on-demand GPUs across multiple GPU clouds and seamlessly scale ML inference for optimal performance.
Deploy high quality GPUs at the best prices across 30+ top clouds worldwide. One complete platform to deploy high quality GPU resources around the world. Use one console to provision GPU instances across top providers with centralized billing and support. Shadeform supports over 100 regions across North America, Europe, Asia and Australia. Shadeform users save up to 90% on GPU instances vs. AWS, GCP and Azure. See what top clouds are charging for GPUs and get the best prices for your workloads across 150+ regions. Submit a request and we’ll send you quotes from our providers with no strings attached. From single instances to reserved commitments, get the best resources across over 30 top…from shadeform.ai
In the maker’s words, at launch
Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily…
Does a similar job
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Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…
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