Where are Vast.ai data centers located?
💡 Answer
Vast.ai is headquartered in United States and operates GPU infrastructure in the following regions:
500+ locations, 40+ data centers
Uptime SLA: No formal SLA (host reliability scores visible)
Private networking: 1
Data center location matters for latency-sensitive inference workloads and for compliance with data residency requirements. Choosing a region close to your users or data sources can significantly reduce round-trip time for API-served models.
See all available data center locations and latency benchmarks at Vast.ai official website.
More FAQs about Vast.ai
- What is Vast.ai best for?
- What is the current Trustpilot rating and number of reviews for Vast.ai?
- What machine learning frameworks does Vast.ai support?
- How fast can I deploy a GPU instance on Vast.ai?
- Does Vast.ai offer serverless GPU inference?
- Does Vast.ai support multi-GPU instances with NVLink or InfiniBand?
- Does Vast.ai offer spot or preemptible GPU instances?
- Does Vast.ai charge egress or data transfer fees?
- Does Vast.ai offer free credits or a free trial?
- What GPU models does Vast.ai offer?
- What is Vast.ai pricing and how does billing work?
Guides Where Vast.ai Is Featured
- Best Cloud GPU Providers with NVIDIA A40
- Best Cloud GPUs for Inference & Model Serving
- 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 Vast.ai alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Vast.ai vs Vultr vs Latitude.sh - GPU Provider Comparison (March 2026)
Side-by-side comparison of Vast.ai vs Vultr vs Latitude.sh. 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 March 2026.
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Vast.ai
Instant GPUs. Transparent Pricing.
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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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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.4 | 1.8 | 3.7 |
| Headquarters | United States | United States | Brazil |
| Provider Type | GPU Marketplace | Multi-Cloud | Bare Metal |
| Best For | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI | 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 |
| GPU Hardware | |||
| GPU Models | 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 | 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 |
| Max VRAM (GB) | 192 | 288 | 96 |
| Max GPUs/Instance | 8 | 16 | 8 |
| Interconnect | NVLink, InfiniBand | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.06/hr | $0.47/hr | $0.35/hr |
| Billing Granularity | Per-second | Per-hour | Per-hour |
| Spot/Preemptible | 1 | 1 | 0 |
| Reserved Discounts | Up to 50% (1-6 month reserved) | N/A | N/A |
| Free Credits | Small test credit on signup | Up to $300 free credit for 30 days | $200 via referral program |
| Egress Fees | Varies by host ($/TB) | Standard (varies by plan) | None |
| Storage | Varies by host ($/GB/hr, charged while instance exists) | 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 |
| Infrastructure | |||
| Regions | 500+ locations, 40+ data centers | 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 |
| Uptime SLA | No formal SLA (host reliability scores visible) | 100% | 99.9% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA vLLM ComfyUI | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 1 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Seconds | Minutes | Seconds |
| Kubernetes Support | 0 | 1 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 Type 2 HIPAA GDPR CCPA | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | Single-tenant isolation DPA available |