Does DigitalOcean support multi-GPU instances with NVLink or InfiniBand?

💡 Answer

DigitalOcean supports multi-GPU configurations with the following specifications:

Interconnect technology: NVLink
Maximum GPUs per instance: 8
Multi-node training: 1

The choice of interconnect is critical for distributed training performance. NVLink provides up to 900 GB/s bidirectional bandwidth between GPUs, while InfiniBand enables high-speed communication across nodes. PCIe-only setups are suitable for inference but may bottleneck multi-GPU training.

Available GPU models: RTX 4000 Ada, RTX 6000 Ada, L40S, MI300X, H100 SXM, H200

For detailed interconnect specs and multi-GPU topology diagrams, see DigitalOcean official website.

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DigitalOcean vs RunPod vs Latitude.sh - GPU Provider Comparison (April 2026)
DigitalOcean
Simple, scalable GPU cloud for AI/ML
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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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Latitude.sh
Bare metal GPU cloud across 23 global locations
Visit Latitude.sh
Overview
Trustpilot Rating 4.6 3.8 3.7
Headquarters United States United States Brazil
Provider Type N/A GPU-Focused Bare Metal
Best For AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI
GPU Hardware
GPU Models RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 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 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 8 8
Interconnect NVLink NVLink NVLink
Pricing
Starting Price ($/hr) $0.76/hr $0.06/hr $0.35/hr
Billing Granularity Per-second Per-second Per-hour
Spot/Preemptible 0 1 0
Reserved Discounts N/A 15-29% (1-month to 1-year plans) N/A
Free Credits $200 free credit for 60 days $5-$500 bonus after first $10 spend $200 via referral program
Egress Fees None (included in plan) None (Free) None
Storage 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo
Infrastructure
Regions New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) 31 global regions 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo
Uptime SLA 99% 99.99% 99.9%
Developer Experience
Frameworks PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face PyTorch TensorFlow JAX ONNX CUDA 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 Minutes Instant Seconds
Kubernetes Support 1 0 0
Business Terms
Min Commitment None None None
Compliance SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 SOC 2 Type II Single-tenant isolation DPA available
DigitalOcean RunPod Latitude.sh