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GPU Cloud Provider

DigitalOcean

GPUs
13
Countries
8
Data Centers
13
Uptime SLA
99% uptime SLA

GPU Marketplace

NVIDIA L40SOn-Demand
$1.57/hour
$3.26/hour
$3.40/hour
$4.41/hour
$4.47/hour
$7.94/hour
$11.19/hour

Estimates onlyrates are collected automatically from public provider pages and may be out of date. Prices vary by region, commitment term, and availability, and typically exclude storage, egress, and tax. Confirm current pricing with the provider before purchasing. Last collected .

Company Profile

Provider TypePlatform
Legal EntityDigitalOcean

Infrastructure

GPU FleetAMD Instinct MI350X, AMD Instinct MI350X×8, AMD Instinct MI325X, AMD Instinct MI325X×8, AMD Instinct MI300X, AMD Instinct MI300X×8, NVIDIA HGX B300, NVIDIA HGX B300×8, NVIDIA HGX H200, NVIDIA HGX H200×8, NVIDIA HGX H100, NVIDIA HGX H100×8, NVIDIA RTX 4000 Ada Generation, NVIDIA RTX 6000 Ada Generation, NVIDIA L40S
Bare MetalNYC3,AMS3,ATL1
Reliable infrastructure for teams running production inference at scale

Compute & Deployment

On-DemandOn-Demand GPU Droplets
Spot / InterruptibleSpot GPU Droplets
Reserved InstancesReserved pricing with longer contracts can go as low as $1.91 to $7.94 per GPU/hour, making it cost-effective for sustained workloads.
Bare MetalBare Metal GPUs
VM-BasedGPU Droplets are virtual machines (VMs) powered by GPUs, optimized for AI/ML workloads.
Container-BasedGPU Droplets mesh seamlessly with DigitalOcean’s Kubernetes service, CLI, API, Terraform, giving you enterprise-grade flexibility in deploying containerized ML workloads.
KubernetesGPU Droplets mesh seamlessly with DigitalOcean’s Kubernetes service, CLI, API, Terraform, giving you enterprise-grade flexibility in deploying containerized ML workloads.
Serverless GPUUse AI Platform for a serverless inference and an agent development toolkit, powered by some of the world's most powerful LLMs.
Spin-Up Timeyou can spin up in seconds.
TerraformGPU Droplets mesh seamlessly with DigitalOcean’s Kubernetes service, CLI, API, Terraform, giving you enterprise-grade flexibility in deploying containerized ML workloads.

GPU Hardware

Multi-GPU NodesGPU Droplets range from single-GPU setups to powerful 8-GPU configurations, each coming with a boot disk (for OS and frameworks) and a scratch disk (for training data staging).
HGX PlatformNVIDIA HGX B300; NVIDIA HGX H200; NVIDIA HGX H100
Liquid CoolingNVIDIA B300, liquid-cooled

Pricing Model

Per HourOn-demand pricing starts around $0.76 to $11.19 per GPU/hour, depending on the hardware (e.g., NVIDIA H100, H200, AMD MI300X).
SubscriptionOn-demand; Reserved (longer contracts); Spot; Contract; Serverless inference
Reserved DiscountReserved pricing with longer contracts can go as low as $1.91 to $7.94 per GPU/hour, making it cost-effective for sustained workloads.
Hidden FeesPowered-off Droplets still accrue charges since resources remain reserved, so always destroy droplets when not in use.
Pay-as-you-goBilling is per-second with a minimum 5-minute round-up. That means you only pay for actual usage.

Performance & Scaling

Elastic ScalingScale on demand, spend less on sustained throughput, and deliver actionable insights.
SLA99% uptime SLA

Developer Experience

OnboardingProvision directly from the console or the API; pre-installed Python and deep learning tools (such as Torch, CUDA, and other frameworks) included.
CLI ToolingCLI,API,Terraform,Kubernetes service
Templates1-Click Models (examples include a 'Guide to Llama 3.1 with Hugging Face' and Stable Diffusion guides).
DocumentationDocumentation and guides including resource pages and step-by-step 'Getting Started' guides (API/CLI references and multiple GPU Droplets guides).

Security & Compliance

HIPAA-eligibleSOC 2 compliant99% uptime SLANamed customers: Workato, Character.ai, Hippocratic AI

Data Center Locations

Coverage

CountriesUnited States, the Netherlands, Singapore, United Kingdom, Germany, Canada, India, Australia
CitiesNew York City, Amsterdam, San Francisco, Singapore, London, Frankfurt, Toronto, Bangalore, Sydney, Atlanta, Richmond, Kansas City, Memphis
DigitalOcean has 16 datacenters across 13 regions.

Compliance Regions

India RegionBLR1
Datacenter Locations

Key Strengths

Integration with DigitalOcean platform services (Vector Databases, Spaces Object Storage, Kubernetes).
HIPAA-eligible and SOC 2 compliant with enterprise-grade SLAs and 24/7 support.
Wide selection of AMD and NVIDIA GPU hardware with high network bandwidth (10 Gbps public, 25 Gbps private).
Preconfigured environment with pre-installed deep learning tools and immediate provisioning via console or API.

Known Limitations

GPU availability limited to specific datacenters (currently NYC2, TOR1, ATL1, RIC1, AMS3 mentioned).
Powered-off Droplets still accrue charges since resources remain reserved.
Some capacity requires contacting sales to reserve.

Additional Information

Core Proposition

Get to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. Scale on demand, spend less on sustained throughput, and deliver actionable insights.

Notable Customers

Workato
Character.ai
Hippocratic AI
Last updated August 2026. Information subject to change.