Can I SSH into GPU instances at Vultr?
💡 Answer
Developer experience overview for Vultr:
Setup time: Minutes
Docker: 1
SSH: 1
Jupyter: 1
API/CLI: 1
Custom images: 1
Vultr provides multiple entry points for developers. You can launch a pre-configured Jupyter environment for quick experiments, deploy custom Docker containers for reproducible training, or automate everything via the API. SSH access gives you full control over the instance for advanced configurations.
Get started with your first GPU workload at Vultr official website.
More FAQs about Vultr
- What makes Vultr different from other cloud GPU providers?
- How many Trustpilot reviews does Vultr have, and what is its score?
- Does Vultr support Hugging Face, vLLM, or other inference frameworks?
- How does serverless GPU work at Vultr?
- How reliable is Vultr infrastructure?
- Does Vultr support multi-node GPU clusters?
- Does Vultr provide interruptible GPU instances at lower prices?
- What are the data transfer and storage fees at Vultr?
- What free credits or promotional offers does Vultr provide?
- What GPU hardware can I rent from Vultr?
- What does it cost to rent a GPU from Vultr?
Guides Where Vultr Is Featured
- Best Cloud GPU Providers with NVIDIA L40S
- Best Cloud GPUs for Fine-Tuning LLMs
- 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 Vultr alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Vultr vs Latitude.sh vs RunPod - GPU Provider Comparison (April 2026)
Side-by-side comparison of Vultr vs Latitude.sh vs RunPod. 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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Vultr
High-performance cloud GPU across 32 global regions
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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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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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 1.8 | 3.7 | 3.8 |
| Headquarters | United States | Brazil | United States |
| Provider Type | Multi-Cloud | Bare Metal | GPU-Focused |
| Best For | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | |||
| GPU Models | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | 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 |
| Max VRAM (GB) | 288 | 96 | 288 |
| Max GPUs/Instance | 16 | 8 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.47/hr | $0.35/hr | $0.06/hr |
| Billing Granularity | Per-hour | Per-hour | Per-second |
| Spot/Preemptible | 1 | 0 | 1 |
| Reserved Discounts | N/A | N/A | 15-29% (1-month to 1-year plans) |
| Free Credits | Up to $300 free credit for 30 days | $200 via referral program | $5-$500 bonus after first $10 spend |
| Egress Fees | Standard (varies by plan) | None | None (Free) |
| Storage | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) |
| Infrastructure | |||
| Regions | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | 31 global regions |
| Uptime SLA | 100% | 99.9% | 99.99% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 0 | 1 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Seconds | Instant |
| Kubernetes Support | 1 | 0 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | Single-tenant isolation DPA available | SOC 2 Type II |