Overview
Strengths & Best For
1Legion provides H100 and A100 GPU cloud compute for AI training and inference workloads with competitive on-demand pricing and high-performance NVIDIA hardware. Fast provisioning and straightforward billing make it accessible for startups and research teams that need reliable GPU access for LLM fine-tuning and model deployment without enterprise contracts. A practical on-demand GPU cloud for AI teams that want competitive pricing and dependable hardware performance.
- High-performance hardware
- Competitive pricing
- Fast provisioning
- Very small provider — limited scale
- No enterprise SLAs
- 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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1Legion
GPU cloud for AI workloads
Novita
GPU cloud and LLM inference API — H100, A100, and 100+ open-source models