Digital Ocean DOKS NVIDIA H100 GPU Node, $ 2,440.80/mo. on Linux Cloud


DOKS NVIDIA H100 GPU Node has been added on Oct 3, 2025, Aggregate Rating (2 out of 10 from 2 reviews)
digitalocean.com
Digital Ocean
101 6th Ave
New York , NY 10013
US
☎ Phone +1.6463978051
  • 💡 Plan Name: DOKS NVIDIA H100 GPU Node (sku #p137772)
  • 🔧 Category: Cloud / Linux
  • 💰 Price:$ 2,440.80/mo.
  • 💿 Disk Space: 5000 GB
  • 📶 Traffic bandwidth: unlimited
  • 💲 Setup Fee: free
💪 CPU/Cores :20 vCPU
🔋 RAM :240000 MB
🔌 Hosted domains :unlimited
🆓 free domains :0
📌 Dedicated IPs :0
💳 Payment Methods :Credit / Debit / Prepaid CardsPayPalWire Transfer
🔧 Category :Self Managed
Targeting :AU FR NL SG US
screenshot of DOKS NVIDIA H100 GPU Node from digitalocean.com

See also initial DOKS NVIDIA H100 GPU Node plan location on their website!

*📜 Plan description

On-demand GPU worker with NVIDIA H100 (80 GB GPU RAM), paired with a Droplet offering 240 GB system RAM, 20 vCPUs, and 5 TB NVMe scratch storage. Listed at $3.39/hour and shown here as ~$2,440.80/month (30 days) per node. Ideal for training/serving modern LLMs, computer vision, and high-throughput inference on Kubernetes. Combine with autoscaling node pools, pooled bandwidth, and DO Load Balancers/Volumes to build resilient AI pipelines.

DigitalOcean Kubernetes provides a fully managed, CNCF-conformant control plane at no charge, with an optional High Availability control plane add-on for $40/month. Clusters integrate with Droplets, Block Storage, Load Balancers, Container Registry, and the DO API/CLI. You pay only for the underlying resources (nodes, storage, load balancers, and bandwidth overages). Features include autoscaling, free pooled bandwidth starting at 2,000 GB per node, and Cilium/Hubble-enhanced networking and observability at no extra cost.

📄 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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