Can I install my own CUDA toolkit and frameworks on Novita AI?

💡 Answer

The ML framework ecosystem at Novita AI:

PyTorch, TensorFlow, CUDA, cuDNN, TensorRT

These frameworks come pre-configured and optimized for the available GPU hardware. Custom images (Yes) allow you to deploy any framework or library not included by default, including nightly builds, custom forks, or specialized inference engines like vLLM or TensorRT.

Persistent storage (Yes) ensures your datasets and model weights survive instance restarts.

Check which ML frameworks come pre-installed on Novita AI official website.

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Novita AI GPU Provider Review & Key Facts (May 2026)

Snapshot of Novita AI: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified May 2026.

Novita AI GPU Provider Review & Key Facts (May 2026)
Novita AI
AI & Agent Cloud platform with 200+ model APIs, GPU instances, and serverless inference at scale.
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Overview
Trustpilot Rating 3
Headquarters United States
Provider Type GPU-Focused
Best For AI training inference fine-tuning generative AI research LLM serving Stable Diffusion
GPU Hardware
GPU Models H100 SXM A100 SXM L40S RTX 4090 RTX 6000 Ada RTX 5090 RTX 3090
Max VRAM (GB) 80
Max GPUs/Instance 8
Interconnect NVLink
Pricing
Starting Price ($/hr) $0.11/hr
Billing Granularity Per-second
Spot/Preemptible Yes
Reserved Discounts N/A
Free Credits Up to $10,000 for startups
Egress Fees None (Free)
Storage Container disk (60GB free), volume disk, network volumes
Infrastructure
Regions US, EU, APAC, South America, Africa, Middle East (20+ locations)
Uptime SLA 99.9%
Developer Experience
Frameworks PyTorch TensorFlow CUDA cuDNN TensorRT
Docker Support Yes
SSH Access Yes
Jupyter Notebooks Yes
API / CLI Yes
Setup Time N/A
Kubernetes Support No
Business Terms
Min Commitment None
Compliance SOC 2
Novita AI