Starting this Tuesday, Hyperbolic's engineering team is hosting weekly open office hours to help startups and enterprise teams solve real AI infrastructure challenges.
What This Is
Live debugging sessions every Tuesday this summer where you can:
Debug training and performance issues with our engineers
Get help with fine-tuning workflows and optimization
Discuss infrastructure scaling and cost management
Share what you're building and get technical feedback
Connect with other teams facing similar challenges
Bring your actual problems—training logs, error messages, architecture questions. This is hands-on debugging, not a webinar.
Who Should Join
Open to all teams building with AI—from seed-stage startups to enterprise engineering groups. No question too technical or too basic.
Weekly $100 Compute Credit Giveaway
Each week, we'll randomly select one attendee to receive $100 in compute credits—that's 100 hours of H100 compute time at our $0.99/hr rate. Register via our San Francisco or New York Luma link before the session to enter. Winner selected via live spin during the stream—must be present to claim.
Need compute?
Rent on-demand H100s for just $0.99/hr and spin up your instances in less than 60 seconds at app.hyperbolic.xyz/compute.
SMB or Enterprise? Get 70% savings and 99.9% uptime with Hyperbolic's Business & Enterprise Cloud. Stop wasting time on infra issues—lock in early bird pricing by letting us know your needs HERE.
About Hyperbolic
Hyperbolic is the on-demand AI cloud made for developers. We provide fast, affordable access to compute, inference, and AI services. Over 195,000 developers use Hyperbolic to train, fine-tune, and deploy models at scale.
Our platform has quickly become a favorite among AI researchers, including those like Andrej Karpathy. We collaborate with teams at Hugging Face, Vercel, Quora, Chatbot Arena, LMSYS, OpenRouter, Black Forest Labs, Stanford, Berkeley, and beyond.
Founded by AI researchers from UC Berkeley and the University of Washington, Hyperbolic is built for the next wave of AI innovation—open, accessible, and developer-first.
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