What savings can I get from spot instances at Novita AI?
💡 Answer
Does Novita AI offer spot instances? 1
Spot or preemptible instances are one of the most effective ways to reduce cloud GPU costs. They work by offering unused GPU capacity at a discount, with the trade-off that the provider can reclaim the instance with short notice. This is well-suited for training jobs that save checkpoints frequently, as well as batch inference workloads.
Base pricing at Novita AI: $0.11/hr (Per-second billing).
For spot instance terms and savings estimates, visit 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?
- 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 A6000
- Best Cloud GPUs for Inference & Model Serving
- Cheapest Cloud GPUs Under $0.50/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 RunPod vs Cherry Servers - GPU Provider Comparison (April 2026)
Side-by-side comparison of Novita AI vs RunPod 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.
|
Novita AI
AI & Agent Cloud platform with 200+ model APIs, GPU instances, and serverless inference at scale.
|
RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
|
Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
|
|
|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.3 | 3.8 | 4.6 |
| Headquarters | United States | United States | Lithuania |
| Provider Type | GPU-Focused | GPU-Focused | N/A |
| Best For | AI training inference fine-tuning generative AI research LLM serving Stable Diffusion | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI | 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 | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 | A100 A40 A16 A10 A2 Tesla P4 |
| Max VRAM (GB) | 80 | 288 | 80 |
| Max GPUs/Instance | 8 | 8 | 2 |
| Interconnect | NVLink | NVLink | PCIe |
| Pricing | |||
| Starting Price ($/hr) | $0.11/hr | $0.06/hr | $0.16/hr |
| Billing Granularity | Per-second | Per-second | Per-hour |
| Spot/Preemptible | 1 | 1 | 0 |
| Reserved Discounts | N/A | 15-29% (1-month to 1-year plans) | N/A |
| Free Credits | Up to $10,000 for startups | $5-$500 bonus after first $10 spend | None |
| Egress Fees | None (Free) | None (Free) | N/A |
| Storage | Container disk (60GB free), volume disk, network volumes | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) |
| Infrastructure | |||
| Regions | US, EU, APAC, South America, Africa, Middle East (20+ locations) | 31 global regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) |
| Uptime SLA | 99.9% | 99.99% | 99.97% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA cuDNN TensorRT | PyTorch TensorFlow JAX ONNX CUDA | 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 | Instant | Minutes |
| Kubernetes Support | 0 | 0 | 1 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 | SOC 2 Type II | ISO 27001 ISO 20000-1 GDPR PCI DSS |