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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Novita has grown into a dual-product platform: a GPU cloud for training and fine-tuning (H100 SXM, A100, RTX 4090) and a high-volume LLM inference API serving 100+ open-source models at some of the lowest per-token rates in the market. In 2025–2026 Novita expanded its model catalog to include Llama 3.1/3.2, Qwen 2.5, DeepSeek V3/R1, and Mistral variants, and introduced batch inference pricing for high-volume workloads at up to 50% discount. The GPU cloud side offers fast provisioning (typically under 3 minutes), pre-built Docker environments for PyTorch and JAX, and persistent storage volumes. A practical choice for cost-conscious teams that want both raw GPU access and a cheap inference API from one provider.
- Among the lowest per-token LLM inference pricing in the market
- Batch inference API at up to 50% discount for high-volume workloads
- 100+ open-source models including Llama 3.2, Qwen 2.5, DeepSeek R1
- Fast GPU provisioning — typically under 3 minutes
- Pre-built PyTorch and JAX environments reduce setup time
- Smaller provider — cluster scale limited vs CoreWeave or Lambda for very large jobs
- Inference API latency trails Fireworks and Cerebras on speed benchmarks
- Less mature enterprise support and SLA options
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Key differences
HyperAI
GPU containers and notebooks sold on prepaid terms
Novita
GPU cloud and LLM inference API — H100, A100, and 100+ open-source models