
Runpod named OpenAI's infrastructure partner for the Model Craft Challenge Series
Runpod and OpenAI will distribute up to $1M in compute credits supporting the first challenge, Parameter Golf.
March 6, 2026
Recognition signals growing enterprise adoption of AI agent infrastructure
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March 6, 2026 — Runpod, the platform that empowers developers to build and run custom AI systems at scale, announced this week it has been named to Ramp's Top SaaS Vendors list for March 2026, appearing in the "trending" category, defined by Ramp as vendors showing breakout growth relative to their size.
Ramp's monthly rankings are built from actual transaction data across more than 50,000 businesses on its corporate card and spend management platform, making the list one of the more accurate real-world signals of enterprise software adoption. Runpod was recognized alongside Cerebras, Modal, Nebius, and Vast.ai, with Ramp's economist noting that half of the trending list was made up of compute and hosting providers serving AI agent workloads.
Ramp's analysis points to a broader shift underway: AI agent workloads are leaving the prototype stage, and the constraint is moving from model selection to reliable deployment. Runpod's Serverless GPU infrastructure scales from zero to thousands of workers in seconds and charges only for compute used, making it well-suited for production agent deployments.
Runpod currently serves more than 500,000 developers, from individual builders to Fortune 500 teams, and surpassed $120 million in annual recurring revenue in January 2026. The company delivers over 8 exabytes of global network traffic annually and has seen signups grow 155% year over year.
The Ramp recognition follows a series of milestones for Runpod, including its HIPAA and GDPR verification in February 2026, and a partnership with a16z speedrun that gives early-stage founders access to Runpod infrastructure from day one.
About Runpod
Runpod is a globally distributed GPU cloud platform that empowers developers to build and run custom full-stack AI systems: simply, globally, and at scale. With cloud GPUs, Serverless, and Clusters, developers can train, fine-tune, and deploy AI applications in seconds, with compute costs up to 90% lower than traditional cloud providers.
To learn more, visit runpod.io.
Media contact: press@runpod.io


Runpod and OpenAI will distribute up to $1M in compute credits supporting the first challenge, Parameter Golf.

Runpod meets HIPAA and GDPR standards for AI cloud infrastructure, enabling healthcare organizations and EU companies to securely train and deploy machine learning models on high-performance GPUs with encrypted data protection, audit trails, and data residency guarantees.

Runpod is now an official partner in the a16z speedrun marketplace, giving founders in the program access to Runpod GPU infrastructure as part of speedrun's $5M+ perks package. Founders building through speedrun can now build with Runpod starting day one.