Hyperpod

Playing around with new AI models is fun, but turning them into consumer apps? A nightmare. You waste hours setting up and debugging IAM roles, VMs and networking. You waste weeks after that trying to scale it or optimize costs. It kills momentum before ideas ever see the light of day.

What is it?
Hyperpod AI is a serverless inference platform that turns your AI models (custom or open source) into production-ready apps in minutes. No infra, no DevOps, no guessing game with cloud bills. Just drop in your model, and we handle auto-scaling, latency optimization, and cost efficiency. We are 3x faster than baseten, cerebrium and lightning AI at a fraction of the cost.

Why now?
There are new AI models released every 3 months, but infra hasn’t caught up. Startups and engineers still fight with deployment overhead when they should be shipping products. Hyperpod lets you skip the plumbing and focus on building.

How we keep your costs low
• Fewer wasted calculations — our compiler converts dynamic ML ops into static ones, unrolls loops, and reduces redundant operations so your model runs leaner without losing accuracy.
• Right hardware, every time — our algorithm benchmarks your model across different hardware options GPUs/CPUs (or a mix) to pick the best price-to-performance fit for your specific model.

How it helps you win
• Get a live endpoint in minutes
• Auto-scales to handle spikes without draining your wallet
• Benchmarked 3x faster and ~1/5th the cost of existing platforms
• Speed up experimentation and MVPs, while being robust for production workloads

How it works (in practice)
• Upload Your Model
• Select the combination of price and speed you prefer
• Connect to your app using HTTP

Would love your thoughts, requests, or sharp feedback. Ship your AI models live today at hyperpodai.com.

How does billing work for serverless AI usage? Is it pay per inference or subscription based?

Is there a free tier or trial available for testing out deployments?