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Shadeform

Shadeform provides a marketplace that aggregates GPU compute from over 30 cloud providers into a single dashboard, enabling AI/ML teams to provision on‑demand instances, multi‑node clusters, or reserved capacity with real‑time price comparison. The platform consolidates billing, support, and compliance, and offers API and CLI tools for automated integration into MLOps pipelines, reducing spend by up to 90 % versus direct provider rates.

Founded 2023102K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

AI teams must source high‑performance GPU compute from multiple cloud providers, each with its own pricing, billing, and provisioning workflow. This fragmentation creates procurement delays, unpredictable costs, and operational overhead when scaling training or inference workloads across regions.

Solution

Shadeform aggregates GPU capacity from more than 30 vetted cloud providers into a single marketplace. Users access a unified console that displays real‑time pricing, regional availability, and hardware specifications, allowing them to provision on‑demand instances, multi‑node clusters, or long‑term reserved commitments with a few clicks. Centralized billing and support eliminate the need for separate contracts, while automated price optimization can reduce spend by up to 90 % compared with direct provider rates. The platform also offers API and CLI hooks for seamless integration into existing MLOps pipelines, enabling rapid scaling of training and inference workloads across 100+ global regions.

Target Audience

AI/ML engineers, data scientists, and MLOps teams in enterprises or fast‑growing startups that need to train large models or serve inference at scale across multiple geographic regions.

Features

  • Unified dashboard for provisioning GPU instances, clusters, and reservations across 30+ cloud providers with real‑time price comparison.
  • On‑demand instances billed per second, supporting 20+ GPU models (NVIDIA, AMD, Intel) including the latest releases.
  • Multi‑node on‑demand clusters of up to 64 GPUs with high‑performance interconnects, provisioned instantly without long‑term contracts.
  • Reserved commitment engine offering flexible term lengths (weeks to years) and volume‑based discounts, removing quota constraints.
  • Centralized billing, usage monitoring, and support portal that consolidate invoices and SLA management.
  • RESTful API and CLI tools for automated provisioning, integration with CI/CD and MLOps workflows, and custom orchestration (Kubernetes add‑on available).
  • Compliance‑focused provider vetting and role‑based access controls to meet enterprise security standards.
This profile is AI-generated and may contain inaccuracies.