What multi-GPU options are available at Novita AI for large-scale training?
💡 Answer
Multi-GPU and distributed training capabilities at Novita AI:
- Interconnect: NVLink
- Max GPUs per instance: 8
- Multi-node clusters: 0
For training large models like LLMs that require multiple GPUs, the interconnect bandwidth directly impacts training throughput. High-bandwidth interconnects like NVLink and InfiniBand minimize the communication overhead during gradient synchronization, resulting in near-linear scaling across GPUs.
View NVLink and InfiniBand configurations 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 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?
- How many GPU models does Novita AI have in its fleet?
- What billing model does Novita AI use for cloud GPU services?
Guides Where Novita AI Is Featured
- Best Cloud GPU Providers with NVIDIA RTX 4090
- Best Cloud GPUs for Research & Experimentation
- 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 Cherry Servers - GPU Provider Comparison (April 2026)
Side-by-side comparison of Novita AI vs DigitalOcean vs Cherry Servers. 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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Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.3 | 4.6 | 4.6 |
| Headquarters | United States | United States | Lithuania |
| Provider Type | GPU-Focused | N/A | N/A |
| 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 fine-tuning rendering research HPC generative AI deep learning |
| 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 | A100 A40 A16 A10 A2 Tesla P4 |
| Max VRAM (GB) | 80 | 192 | 80 |
| Max GPUs/Instance | 8 | 8 | 2 |
| Interconnect | NVLink | NVLink | PCIe |
| Pricing | |||
| Starting Price ($/hr) | $0.11/hr | $0.76/hr | $0.16/hr |
| Billing Granularity | Per-second | Per-second | Per-hour |
| Spot/Preemptible | 1 | 0 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | Up to $10,000 for startups | $200 free credit for 60 days | None |
| Egress Fees | None (Free) | None (included in plan) | N/A |
| 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 | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) |
| Infrastructure | |||
| Regions | US, EU, APAC, South America, Africa, Middle East (20+ locations) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) |
| Uptime SLA | 99.9% | 99% | 99.97% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA cuDNN TensorRT | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA (bare metal — full stack control) |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 1 | 0 |
| 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 | ISO 27001 ISO 20000-1 GDPR PCI DSS |