Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Novita AI review

#19 of 25 in Model HostingAI Model APIs

Usage-priced hosting for custom and Hugging Face models, with serverless and dedicated GPU options.

7.4/10Editor score
Novita AI7.4 Visit Novita AI

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Novita AI provides hosted model APIs and GPU infrastructure for developers building AI applications. Teams can use serverless endpoints for hosted models or deploy open-source and custom models on dedicated GPU endpoints. It also offers GPU instances for teams that want to manage their own deployment and inference stack. The options suit developers who need managed inference or GPU resources without operating physical infrastructure, while teams seeking a fully managed stack for every deployment may prefer to compare alternatives.

The published dedicated endpoint rates are usage-based: RTX 4090 costs $0.61 per GPU-hour, H100 costs $1.99 per GPU-hour, and H200 costs $2.99 per GPU-hour. Each dedicated endpoint plan includes a dedicated GPU model endpoint and per-second billing for running replicas. Separately, serverless model endpoints use token-based billing. These are usage rates rather than monthly subscription prices, so the choice is between model-serving modes and GPU configurations, not a listed monthly tier structure.

For ecosystem fit, Novita AI supports OpenAI API-compatible frameworks, LangChain, LiteLLM, and LlamaIndex. Developers can deploy models from Hugging Face, upload custom models, and use LoRA adapters on dedicated endpoints. GPU autoscaling is available for custom and enterprise deployments, while APIs handle GPU instance lifecycle management; templates include PyTorch, JAX, and CUDA images. SOC 2 is listed as a compliance posture, and support channels include email with 24/7 support. Novita AI is a fit for teams that want usage-priced inference with model and framework flexibility; teams looking for broader lifecycle tooling or a managed experience for their own GPU instances should consider alternatives.

Novita AI pros and cons

  • Where it wins
    • Deploy custom models or models from Hugging Face
    • Choose serverless token billing or dedicated GPU-hour billing
    • Scale dedicated endpoint replicas and apply LoRA adapters
  • Where it doesn't
    • Dedicated GPU rates vary by GPU, from $0.61 to $2.99 per hour
    • GPU instance users manage their own deployment and inference stack
    • Support is via email

Novita AI fact sheet, pricing and score →

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update