Novita AI
Novita AI: Usage-priced hosting for custom and Hugging Face models, with serverless and dedicated GPU options. Ranked #19 of 25 in Model Hosting by our editors (7.4/10); pricing: Paid; best for teams seeking usage-priced custom GPU endpoints.
At a glance
- Editor score7.4 / 10
- PricingPaid
- Best forTeams seeking usage-priced custom GPU endpoints
- Paid from$0.61/device usage-based
- Deployment typeBoth
- Facts checked24 Sep 2026
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
Our verdict on Novita AI
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.
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Novita AI pricing
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Novita AI fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | $0.61/device usage-based |
| Deployment type | Both |
| Custom model hosting | Yes |
| Autoscaling | Yes |
| GPU inference | Yes |
| Supported runtimes | PyTorch, JAX, CUDA |
| Deployment regions | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2 |
| Support | Email · 24/7 |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: OpenAI API-compatible frameworks, LangChain, LiteLLM, LlamaIndex |
| Pricing | Paid (source) |
| Website | novita.ai |
| Facts checked | 24 Sep 2026 |
Novita AI integrations
Novita AI lists 4 integrations on its own site.
- OpenAI API-compatible frameworks
- LangChain
- LiteLLM
- LlamaIndex
Alternatives to Novita AI
- Amazon SageMaker AIA broad AWS-managed ML lifecycle, with usage-based costs and no ongoing free plan.9.3
- Alibaba Cloud Machine Learning Platform for AIA full ML lifecycle platform with visual workflows, managed compute, tracking, and online serving.9.2
- Databricks Mosaic AIA cloud platform linking model development, governed data, orchestration, and serving.9.1
See all Novita AI alternatives →
Also Ranked In
Novita AI is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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