What are the primary use cases for Novita AI?
💡 Answer
The primary use cases for Novita AI include: AI training, inference, fine-tuning, generative AI, research, LLM serving, Stable Diffusion
Novita AI operates as a GPU-Focused provider with pricing starting from $0.11/hr. The platform is well-suited for teams and individuals who need flexible GPU access without long-term commitments.
Available hardware: H100 SXM, A100 SXM, L40S, RTX 4090, RTX 6000 Ada, RTX 5090, RTX 3090
Explore Novita AI's full GPU lineup and decide if it fits your use case at their official website.
More FAQs about 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?
- 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 H100
- Best Cloud GPUs for AI Model Training
- 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 Latitude.sh vs Massed Compute - GPU Provider Comparison (April 2026)
Side-by-side comparison of Novita AI vs Latitude.sh vs Massed Compute. 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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Latitude.sh
Bare metal GPU cloud across 23 global locations
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Massed Compute
GPU cloud with direct engineer support
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.3 | 3.7 | 0 |
| Headquarters | United States | Brazil | United States |
| Provider Type | GPU-Focused | Bare Metal | GPU-Focused |
| Best For | AI training inference fine-tuning generative AI research LLM serving Stable Diffusion | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion research |
| GPU Hardware | |||
| GPU Models | H100 SXM A100 SXM L40S RTX 4090 RTX 6000 Ada RTX 5090 RTX 3090 | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL |
| Max VRAM (GB) | 80 | 96 | 141 |
| Max GPUs/Instance | 8 | 8 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.11/hr | $0.35/hr | $0.35/hr |
| Billing Granularity | Per-second | Per-hour | Per-minute |
| Spot/Preemptible | 1 | 0 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | Up to $10,000 for startups | $200 via referral program | None |
| Egress Fees | None (Free) | None | None |
| Storage | Container disk (60GB free), volume disk, network volumes | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | Local NVMe included with instances |
| Infrastructure | |||
| Regions | US, EU, APAC, South America, Africa, Middle East (20+ locations) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | United States (Tier III data centers) |
| Uptime SLA | 99.9% | 99.9% | Tier III (99.98% design) |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA cuDNN TensorRT | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 0 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | N/A | Seconds | Minutes |
| Kubernetes Support | 0 | 0 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 | Single-tenant isolation DPA available | SOC 2 Type II HIPAA |