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Alibaba Cloud vs Novita: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Alibaba Cloud and Novita. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Hyperscaler
Specialist
Founded
2009
2023
Headquarters
Hangzhou, China
San Francisco, CA
Billing model
On-demand, Reserved, Spot, AI Token Plan
Per-token (inference), On-demand / Spot (GPU cloud)
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Community → Enterprise
Regions
5 regions
3 regions

Strengths & Best For

Alibaba Cloud

Alibaba Cloud (Aliyun) is Asia's largest cloud provider, offering Elastic GPU Service with L20 (8× NVIDIA L20, 48GB each, from $1,279/month), A10 (4× NVIDIA A10, 24GB each, from $676/month), V100, T4, and P100 instances across China, APAC, US, EU, and Middle East. Model Studio provides enterprise-grade access to Qwen3.8-Flash, Qwen3.7-Plus, Qwen3.8-Max, Wan2.7 (T2V/I2V), DeepSeek V4 Pro, HappyHorse-1.1-T2V, and 20+ models. AI Token Plan from $6/month. AI Savings Plan saves up to 47%. AIACC-Training and AIACC-Inference accelerators optimize GPU utilization. FastGPU for rapid cluster deployment. cGPU for GPU sharing across containers.

Strengths
  • L20 GPU instances (8× L20, 48GB each) — latest available in APAC
  • Model Studio: Qwen3.8, Wan2.7, DeepSeek V4 Pro, HappyHorse T2V
  • AI Token Plan from $6/month — wide model access in Asia
  • AIACC-Training/Inference accelerators for GPU optimization
  • APAC coverage — China, Southeast Asia, Middle East
  • AI Savings Plan up to 47% off
Weaknesses
  • Primarily China/APAC focused — limited global regions
  • Data sovereignty concerns for non-Chinese teams
  • Less mature ML ecosystem vs AWS/GCP outside Asia
Best For
China/APAC workloadsEnterprises in AsiaTeams using Alibaba servicesVideo generation (Wan2.7, HappyHorse)
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Novita

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.

Strengths
  • 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
Weaknesses
  • 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
Best For
Cost-optimized LLM inference at scaleStartups needing cheap inference API + GPU training from one vendorBatch processing workloads with high token volumesTeams fine-tuning Llama or Qwen on a budget
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Region Coverage

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Key differences

Alibaba Cloud

Qwen3.8, Wan2.7, DeepSeek V4 Pro, HappyHorse T2V — Asia's largest AI cloud with L20 and A10 GPUs

Novita

GPU cloud and LLM inference API — H100, A100, and 100+ open-source models

AttributeAlibaba CloudNovita
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved, Spot, AI Token PlanPer-token (inference), On-demand / Spot (GPU cloud)
Min commitmentNone (on-demand)None
Regions5 (CN, APAC, EU, +2)3 (US, EU, APAC)
Support tierBasic → EnterpriseCommunity → Enterprise
Best forChina/APAC workloads, Enterprises in AsiaCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendor
Founded / HQ2009 · Hangzhou, China2023 · San Francisco, CA