gpu-cloud
(10)
Akshat Bubna and the Art of Making Hard Problems Smaller
Before Akshat Bubna helped build an AI cloud, he won an international programming gold medal. The habit that connects those chapters is simple: make a hard problem smaller, then keep going.
Zhen Lu Put the Cloud in His Basement
A quantum chemist quit the classroom, learned to code, and found his next experiment in two New Jersey basements. The result became Runpod, a developer cloud shaped by Reddit feedback, improvised infrastructure, and an aversion to making builders think about GPUs.
Rutvik Patel and the Long Road from Word Games to GPU Clouds
Before the GPUs came a word game, a chat room and a peer-to-peer file-sharing app. Rutvik Patel's public trail is a study in how small systems lessons accumulate into the work of building cloud infrastructure for more than a million developers.
Chase Lochmiller Built His Company Where the Power Was
Before AI needed gigawatts, Chase Lochmiller learned to look for energy nobody else could use. The former quant and Everest climber turned that instinct into Crusoe - a company built around the stubborn physical limits of computing.
Mike Henry Is Building the Air-Traffic Control for AI Compute
After a decade spent trying to make one chip do more, the Parasail co-founder is taking a wider view: connect the scattered machines, hide the plumbing, and let builders ask for tokens instead of servers.
Jaeman An Is Building the Plumbing for AI's Expensive New Age
Before AI could write the future, someone had to make the machines cooperate. The VESSL AI co-founder turned a decade of infrastructure headaches into a company built for the age of scarce GPUs and restless models.
Tycho Svoboda
Tycho Svoboda is the co-founder and CEO of TensorPool, a Y Combinator Winter 2025 startup that lets machine learning engineers run training jobs on cloud GPUs with a single command-line tool, routing work to the cheapest available cloud and cutting compute costs by roughly half. He left Stanford with two credits shy of graduation to build it alongside two dorm-floor friends, joining a wave of young AI founders trading their degrees for the startup grind.
Nikola Borisov
Nikola Borisov is the co-founder and CEO of Deep Infra, a Palo Alto cloud company that runs open-source AI models as a low-cost, low-latency inference service. A former competitive programmer who scaled messaging backends to hundreds of millions of users at imo.im and helped build HalloApp's founding backend, he bet early that inference, not training, would become the real bottleneck of the AI era. Deep Infra now processes close to five trillion tokens a week and raised a $107M Series B in May 2026 backed by NVIDIA, 500 Global, Felicis and others.
Alex Yeh
Alex Yeh is the Founder and CEO of GMI Cloud, a GPU-native AI cloud infrastructure company he built from Bitcoin mining data centers into a global AI infrastructure leader in just 30 days. GMI Cloud — one of only 6 NVIDIA Reference Platform Partners worldwide — raised $82M in Series A funding in 2024 and is behind a $12 billion sovereign AI infrastructure initiative in Japan. Yeh's mission: make building AI applications as simple as building a website on Shopify.
Haseeb Budhani
Haseeb Budhani is the Co-founder and CEO of Rafay Systems, a Sunnyvale-based infrastructure orchestration platform that simplifies Kubernetes and AI infrastructure lifecycle operations across public clouds, private data centers, and the edge. A serial entrepreneur with a track record of building and selling enterprise technology companies, Budhani previously co-founded Soha Systems - a secure remote access startup acquired by Akamai Technologies in 2016 - and has held senior product and engineering roles at Citrix, Infineta Systems, and others. Under his leadership, Rafay has raised $37.1M in total funding, built partnerships with Verizon, NVIDIA, and Cisco, and grown to serve major enterprise customers at the intersection of Kubernetes operations and AI infrastructure.