Guanxingyun vs Novita: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Guanxingyun and Novita. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Guanxingyun is a Chinese GPU cloud provider offering Huawei 910B, A100 40GB, V100 32GB, and RTX 4090 GPU instances with CNY monthly pricing. The platform is notable for offering Huawei Ascend 910B hardware alongside NVIDIA GPUs, making it relevant for teams exploring domestic Chinese AI accelerators. Prices are denominated in CNY; USD equivalents are approximate. Verified 2026-10-22: Huawei 910B at CNY 3.26/hr, A100 40GB at CNY 3.58/hr, V100 32GB at CNY 1.72/hr.
- Huawei Ascend 910B availability alongside NVIDIA GPUs
- A100 and V100 at competitive CNY rates
- China-based infrastructure for local data residency
- On-demand and monthly billing options
- China-only — no international regions
- Prices in CNY — USD conversion adds uncertainty
- Smaller provider with limited global presence
- Huawei 910B ecosystem less mature than NVIDIA CUDA
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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
Guanxingyun
Chinese GPU cloud — Huawei 910B, A100, V100, RTX 4090 with CNY pricing
Novita
GPU cloud and LLM inference API — H100, A100, and 100+ open-source models