Digital Ocean GPU Droplet – NVIDIA [...], $ 2,440.80/mo. on Cloud


GPU Droplet – NVIDIA H100 (1x80GB) has been added on Oct 3, 2025, Aggregate Rating (2 out of 10 from 2 reviews)
Digital Ocean
101 6th Ave
New York , NY 10013
US
☎ Phone +1.6463978051
💪 CPU/Cores :20 vCPU
🔋 RAM :240000 MB
🆓 free domains :0
📌 Dedicated IPs :0
💳 Payment Methods :Credit / Debit / Prepaid CardsPayPalWire Transfer
🔨 Control Panel :[In-house]
✍️ Support Options :Help Desk
Targeting :AU FR NL SG US
🚀 Uptime :99.99 %

See also initial GPU Droplet – NVIDIA H100 (1x80GB) plan location on their website!

*📜 Plan description

Single-GPU AI VM with NVIDIA H100: 1 GPU (80 GB HBM3), 20 vCPUs, 240 GB RAM, 720 GB NVMe boot + 5 TB NVMe scratch, 15,000 GB transfer. On-demand price is $3.39/GPU-hour; monthly converted at 30 days.

Suited for high-end training and inference with strong FP16/BF16 throughput. Standard GPU Droplet policies apply: per-second billing; billing continues if powered off; DO control panel/APIs; multiple payment options; 99.99% Droplet SLA. Specs and prices may change over time.

📄 Editorial Review

DigitalOcean is a cloud-first provider (founded 2012) that targets developers, startups, and SMBs with simple tooling, predictable pricing, and a broad—but focused—product lineup. Their core compute service, Droplets (Linux VMs on SSD with KVM virtualization), can be deployed in minutes and integrate cleanly with networking, storage, and security features. The platform emphasizes a clean control panel, a mature API/CLI, and rich docs/tutorials so builders can stay productive without hyperscaler complexity.

They now span a full IaaS/PaaS mix: Droplets (shared and dedicated CPU families, including Basic/General Purpose/CPU-Optimized/Memory-Optimized/Storage-Optimized), Managed Kubernetes (DOKS) with a free HA control plane and autoscaling, Functions for serverless, and App Platform for fully managed app deployments. Storage options include Spaces (S3-compatible object storage with CDN), Block Storage (Volumes), backups/snapshots, and a Container Registry. Managed data services cover PostgreSQL, MySQL, MongoDB, Valkey, OpenSearch, and Kafka—all designed to offload patching, failover, and routine ops.

DigitalOcean has also moved decisively into AI: Gradient™ AI introduces GPU Droplets and bare-metal GPUs (NVIDIA and AMD), 1-click model deployments, and a managed platform for agentic/LLM workflows. Networking features are practical and developer-friendly: Cloud Firewalls, Load Balancers (with Let’s Encrypt and HTTP/3), VPC and VPC peering, Reserved IPs/BYOIP, IPv6, always-on DDoS protection, and Partner Network Connect for private multi-cloud links.

Timeline

DigitalOcean launched in 2012 (TechStars), quickly expanded infrastructure and community in 2013–2016 with new regions (San Francisco, Frankfurt, Canada, Bangalore) and features like Floating IPs. From 2017–2019, they broadened the platform with research programs (Currents), startup support (Hatch), General Purpose Droplets, and DigitalOcean Kubernetes plus Managed Databases. In 2020 they hosted the Deploy conference and, in 2021, went public while adding serverless capabilities via the Nimbella acquisition. The momentum continued in 2022 with DigitalOcean Functions, DO Impact, Partner Pod, and the acquisition of Cloudways. In 2023, they acquired Paperspace and introduced Gradient™ AI offerings (including Managed Kafka and Premium CPU-Optimized Droplets), signaling a deliberate push into AI/ML alongside their core developer cloud.

Overall, they deliver a balanced combination of simplicity, scale, and price that suits everything from hobby projects to production SaaS.

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