How many GPU models does Novita AI have in its fleet?
💡 Answer
Novita AI offers a range of GPU models for AI, machine learning, and high-performance computing workloads. The full list of available GPUs includes:
H100 SXM, A100 SXM, L40S, RTX 4090, RTX 6000 Ada, RTX 5090, RTX 3090
The maximum VRAM available on a single GPU at Novita AI is 80 GB, and instances can be configured with up to 8 GPUs. The interconnect technology used for multi-GPU setups is NVLink, which determines the bandwidth between GPUs during distributed training.
Browse the full catalog of available GPUs and their specifications at Novita AI official website.
More FAQs about Novita AI
- What are the primary use cases for Novita AI?
- How many Trustpilot reviews does Novita AI have, and what is its score?
- What deep learning frameworks are available out of the box at Novita AI?
- Does Novita AI offer Jupyter Notebook support for GPU development?
- Can I deploy models on Novita AI that only run when called?
- What availability zones does Novita AI offer?
- What multi-GPU options are available at Novita AI for large-scale training?
- What savings can I get from spot instances at Novita AI?
- Does Novita AI charge for downloading model weights or training outputs?
- Is there a way to test Novita AI GPU instances without paying?
- What billing model does Novita AI use for cloud GPU services?
Guides Where Novita AI Is Featured
- Best Cloud GPU Providers with NVIDIA GH200
- Best Cloud GPUs for Fine-Tuning LLMs
- Cheapest Cloud GPUs Under $1/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Novita AI alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Novita AI vs DigitalOcean vs Vultr - GPU Provider Comparison (April 2026)
Side-by-side comparison of Novita AI vs DigitalOcean vs Vultr. Quickly scan maximum funding, profit splits, risk rules, leverage, platforms, instruments, payout schedules, payment options, trading permissions and KYC restrictions to narrow down your prop trading firm shortlist. Data updated April 2026.
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Novita AI
AI & Agent Cloud platform with 200+ model APIs, GPU instances, and serverless inference at scale.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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Vultr
High-performance cloud GPU across 32 global regions
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.3 | 4.6 | 1.8 |
| Headquarters | United States | United States | United States |
| Provider Type | GPU-Focused | N/A | Multi-Cloud |
| Best For | AI training inference fine-tuning generative AI research LLM serving Stable Diffusion | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | |||
| GPU Models | H100 SXM A100 SXM L40S RTX 4090 RTX 6000 Ada RTX 5090 RTX 3090 | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 80 | 192 | 288 |
| Max GPUs/Instance | 8 | 8 | 16 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.11/hr | $0.76/hr | $0.47/hr |
| Billing Granularity | Per-second | Per-second | Per-hour |
| Spot/Preemptible | 1 | 0 | 1 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | Up to $10,000 for startups | $200 free credit for 60 days | Up to $300 free credit for 30 days |
| Egress Fees | None (Free) | None (included in plan) | Standard (varies by plan) |
| Storage | Container disk (60GB free), volume disk, network volumes | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage |
| Infrastructure | |||
| Regions | US, EU, APAC, South America, Africa, Middle East (20+ locations) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) |
| Uptime SLA | 99.9% | 99% | 100% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA cuDNN TensorRT | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 1 | 1 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | N/A | Minutes | Minutes |
| Kubernetes Support | 0 | 1 | 1 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 |