Overview
Strengths & Best For
HyperAI offers GPU containers and Jupyter notebook environments on prepaid terms, providing a straightforward way to access H100, A100, and RTX GPU compute for AI training and experimentation. The prepaid model gives teams cost predictability without monthly subscription commitments, making it accessible for researchers and small teams that want flexible GPU access with a simple billing model.
- Prepaid billing — cost predictability without subscriptions
- Jupyter notebook environments included
- H100 and A100 availability
- Simple self-serve platform
- Smaller provider — limited scale
- Prepaid model less flexible than on-demand
- Limited documentation and support resources
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Lepton AI is now part of NVIDIA and operates as NVIDIA DGX Cloud Lepton, a platform for accessing and managing AI infrastructure at scale. Originally a serverless AI platform, it has been integrated into NVIDIA's broader DGX Cloud ecosystem, giving teams access to NVIDIA-managed GPU infrastructure through a unified platform. Teams building on NVIDIA's ecosystem should evaluate DGX Cloud Lepton alongside other NVIDIA cloud offerings.
- NVIDIA-managed infrastructure
- DGX Cloud ecosystem integration
- Pythonic SDK
- Competitive spot pricing
- Absorbed into NVIDIA DGX Cloud — roadmap and pricing tied to NVIDIA enterprise sales cycle
- Less suitable for teams outside the NVIDIA ecosystem
- Self-serve on-demand access limited compared to independent GPU clouds
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Live GPU Pricing
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Key differences
HyperAI
GPU containers and notebooks sold on prepaid terms
Lepton AI
NVIDIA DGX Cloud Lepton — AI infrastructure platform by NVIDIA