What GPU models does DigitalOcean offer?
💡 Answer
DigitalOcean offers a range of GPU models for AI, machine learning, and high-performance computing workloads. The full list of available GPUs includes:
RTX 4000 Ada, RTX 6000 Ada, L40S, MI300X, H100 SXM, H200
The maximum VRAM available on a single GPU at DigitalOcean is 192 GB, and instances can be configured with up to 8 GPUs. The interconnect technology used for multi-GPU setups is NVLink, which determines the bandwidth between GPUs during distributed training.
Browse the full catalog of available GPUs and their specifications at DigitalOcean official website.
More FAQs about DigitalOcean
- What is DigitalOcean best for?
- What is the current Trustpilot rating and number of reviews for DigitalOcean?
- What machine learning frameworks does DigitalOcean support?
- How fast can I deploy a GPU instance on DigitalOcean?
- Does DigitalOcean offer serverless GPU inference?
- Where are DigitalOcean data centers located?
- Does DigitalOcean support multi-GPU instances with NVLink or InfiniBand?
- Does DigitalOcean offer spot or preemptible GPU instances?
- Does DigitalOcean charge egress or data transfer fees?
- Does DigitalOcean offer free credits or a free trial?
- What is DigitalOcean pricing and how does billing work?
Guides Where DigitalOcean Is Featured
- Best Cloud GPU Providers with NVIDIA B300
- Best Cloud GPUs for Stable Diffusion & Image Generation
- 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 DigitalOcean alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
DigitalOcean vs Vultr vs Massed Compute - GPU Provider Comparison (April 2026)
Side-by-side comparison of DigitalOcean vs Vultr 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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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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Massed Compute
GPU cloud with direct engineer support
|
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 1.8 | 0 |
| Headquarters | United States | United States | United States |
| Provider Type | N/A | Multi-Cloud | GPU-Focused |
| 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 | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion 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 | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL |
| Max VRAM (GB) | 192 | 288 | 141 |
| Max GPUs/Instance | 8 | 16 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.76/hr | $0.47/hr | $0.35/hr |
| Billing Granularity | Per-second | Per-hour | Per-minute |
| Spot/Preemptible | 0 | 1 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | $200 free credit for 60 days | Up to $300 free credit for 30 days | None |
| Egress Fees | None (included in plan) | Standard (varies by plan) | None |
| 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 | Local NVMe included with instances |
| Infrastructure | |||
| Regions | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | United States (Tier III data centers) |
| Uptime SLA | 99% | 100% | Tier III (99.98% design) |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 1 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Minutes | Minutes |
| Kubernetes Support | 1 | 1 | 0 |
| Business Terms | |||
| Min Commitment | None | 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 | SOC 2 Type II HIPAA |
DigitalOcean
Vultr
Massed Compute