GPU Providers
HQ
Billing
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Cloud GPU Providers with Kubernetes Support
Kubernetes has become the standard for orchestrating ML training and inference workloads at scale. GPU-aware Kubernetes clusters enable automated scheduling, resource management, and integration with MLOps tools like Kubeflow and Ray. This guide lists cloud GPU providers that offer managed Kubernetes support or GPU-enabled Kubernetes clusters for production AI deployments.
Trustpilot Rating
Trustpilot Reviews
2,282
HQ
United States Starting Price
$0.76/hr
Max VRAM
192 GB
Max GPUs
8
Billing
Per-second
Trustpilot Rating
Trustpilot Reviews
538
HQ
United States Starting Price
$0.47/hr
Max VRAM
288 GB
Max GPUs
16
Billing
Per-hour
DigitalOcean vs Vultr - Comparison of Top Firms in This Guide
DigitalOcean vs Vultr - GPU Provider Comparison (March 2026)
Head-to-head comparison of DigitalOcean and Vultr. Check max funding, profit splits, daily and overall drawdown rules, leverage, tradable assets, payout frequency, payment and payout methods, trading permissions and KYC restrictions before you buy a challenge. Data refreshed March 2026.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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Vultr
High-performance cloud GPU across 32 global regions
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|---|---|---|
| Overview | ||
| Trustpilot Rating | 4.6 | 1.8 |
| Headquarters | United States | United States |
| Provider Type | N/A | Multi-Cloud |
| Best For | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | ||
| GPU Models | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 192 | 288 |
| Max GPUs/Instance | 8 | 16 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.76/hr | $0.47/hr |
| Billing Granularity | Per-second | Per-hour |
| Spot/Preemptible | 0 | 1 |
| Reserved Discounts | N/A | N/A |
| Free Credits | $200 free credit for 60 days | Up to $300 free credit for 30 days |
| Egress Fees | None (included in plan) | Standard (varies by plan) |
| Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage |
| Infrastructure | ||
| Regions | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) |
| Uptime SLA | 99% | 100% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC |
| Docker Support | 1 | 1 |
| SSH Access | 1 | 1 |
| Jupyter Notebooks | 1 | 1 |
| API / CLI | 1 | 1 |
| Setup Time | Minutes | Minutes |
| Kubernetes Support | 1 | 1 |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 |
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