Does RunPod come with PyTorch, TensorFlow, or JAX pre-installed?
💡 Answer
Framework support at RunPod includes:
PyTorch, TensorFlow, JAX, ONNX, CUDA
For teams with specific requirements, RunPod also supports custom Docker images (1), allowing you to define your exact software stack including CUDA version, Python packages, and system libraries.
Additional developer tools:
- Jupyter notebooks: 1
- Persistent storage: 1
View supported framework versions and Docker images at RunPod official website.
More FAQs about RunPod
- Who should use RunPod for cloud GPU?
- What is the current Trustpilot rating and number of reviews for RunPod?
- Does RunPod support Docker, SSH, and Jupyter Notebooks?
- Can I run GPU workloads on RunPod without managing servers?
- What regions does RunPod operate in?
- What interconnect technology does RunPod use for multi-GPU training?
- Can I get discounted GPU rates at RunPod through spot instances?
- Are there any data transfer costs at RunPod?
- Can I try RunPod for free before committing?
- Which NVIDIA and AMD GPUs are available at RunPod?
- How much does RunPod cost per hour for GPU instances?
Guides Where RunPod Is Featured
- Best Cloud GPU Providers with NVIDIA B200
- Best Cloud GPUs for Video Rendering & VFX
- 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 RunPod alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
RunPod vs Vultr vs Vast.ai - GPU Provider Comparison (April 2026)
Side-by-side comparison of RunPod vs Vultr vs Vast.ai. 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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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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Vultr
High-performance cloud GPU across 32 global regions
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Vast.ai
Instant GPUs. Transparent Pricing.
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.8 | 1.8 | 4.4 |
| Headquarters | United States | United States | United States |
| Provider Type | GPU-Focused | Multi-Cloud | GPU Marketplace |
| Best For | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI |
| GPU Hardware | |||
| GPU Models | 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 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 |
| Max VRAM (GB) | 288 | 288 | 192 |
| Max GPUs/Instance | 8 | 16 | 8 |
| Interconnect | NVLink | NVLink | NVLink, InfiniBand |
| Pricing | |||
| Starting Price ($/hr) | $0.06/hr | $0.47/hr | $0.06/hr |
| Billing Granularity | Per-second | Per-hour | Per-second |
| Spot/Preemptible | 1 | 1 | 1 |
| Reserved Discounts | 15-29% (1-month to 1-year plans) | N/A | Up to 50% (1-6 month reserved) |
| Free Credits | $5-$500 bonus after first $10 spend | Up to $300 free credit for 30 days | Small test credit on signup |
| Egress Fees | None (Free) | Standard (varies by plan) | Varies by host ($/TB) |
| Storage | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | Varies by host ($/GB/hr, charged while instance exists) |
| Infrastructure | |||
| Regions | 31 global regions | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | 500+ locations, 40+ data centers |
| Uptime SLA | 99.99% | 100% | No formal SLA (host reliability scores visible) |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow JAX ONNX CUDA | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow CUDA vLLM ComfyUI |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 1 | 1 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Instant | Minutes | Seconds |
| Kubernetes Support | 0 | 1 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 Type II | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | SOC 2 Type 2 HIPAA GDPR CCPA |