DigitalOcean48GB VRAMAda Lovelaceenterprise

L40S on DigitalOcean

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DigitalOcean's NVIDIA L40S GPU Droplets provide developers with a 48GB VRAM Ada Lovelace GPU optimized for visualization, compute, and AI/ML workloads, integrated into its renowned simple, predictable cloud platform. This offering is noteworthy for extending DigitalOcean's CPU Droplet ease-of-use to enterprise GPUs, including H100/H200 alongside L40S, without the complexity of hyperscalers. Target audience includes ML engineers, startups, and teams embedded in the DigitalOcean ecosystem needing quick GPU ramp-up. Key value propositions: per-hour billing for cost control, 1-Click Models marketplace for instant deployments, seamless DOKS Kubernetes orchestration, Spaces object storage, and Paperspace Gradient enhancements post-acquisition. The L40S balances high throughput for training/inference with versatility for VDI, making it ideal for prototyping to production in global data centers.

Why NVIDIA L40S on DigitalOcean?

DigitalOcean pairs NVIDIA L40S's versatile Ada Lovelace capabilities—48GB GDDR6, superior ray tracing, and AI tensor cores—with its developer-first infrastructure for unmatched simplicity. Choose this for predictable per-hour pricing (no reservations needed), rapid provisioning via intuitive Droplet UI, and native integrations like DOKS for multi-GPU scaling and Spaces for S3-compatible storage. Unique edges: 1-Click Models accelerate ML workflows; Paperspace bolsters with Gradient notebooks/deployments. Ideal for startups avoiding AWS/GCP overhead, it complements L40S strengths in fine-tuning, inference, and viz, delivering full-stack AI without infra expertise.

Live Pricing

Real-time NVIDIA L40S offers from DigitalOcean

1 listed, none in stock
DigitalOcean
DigitalOcean
Toronto
Sold Out
NVIDIA L40S
48GB VRAM
8 vCPU
64GB RAM
500GB Storage
$1.57/GPU/hr

Performance Notes

NVIDIA L40S on DigitalOcean delivers ~90 TFLOPS FP32, 1,800 TFLOPS sparse Tensor FP16, suiting LLM fine-tuning (up to 30B params), inference, and viz. Expect 50-100Gbps networking per Droplet for distributed jobs; NVMe SSDs with Spaces bursting for datasets. Multi-GPU via DOKS NVLink-like scaling possible, but public benchmarks limited—DO optimizes for low overhead. Strengths: lightweight hypervisor minimizes latency. Unknowns: exact interconnect speeds, region-specific perf; test for workloads. Solid for mid-scale AI, less for ultra-large clusters vs. H100-heavy providers.

About DigitalOcean

A developer-focused cloud provider offering simple, predictable GPU Droplets for AI/ML workloads, bringing NVIDIA H100 and H200 accelerators to its global developer community with the same simplicity its CPU droplets are known for.

Best For

Developers and startups wanting simple, predictable GPU pricingTeams already on the DigitalOcean ecosystem needing to add GPU capacity

Unique Features

  • 1-Click Models marketplace for rapid model deployment
  • Integrated with DigitalOcean Kubernetes (DOKS) and Spaces object storage
  • Acquired Paperspace to bolster AI/ML platform (Gradient)
NVIDIA L40S Specs

VRAM

48GB

Architecture

Ada Lovelace

Tier

enterprise

Platform Features

Access Methods
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers
Billing Options
Incrementper-hour
Spot Instances
Reserved Instances
Prepaid Credits
Compliance
SOC 2
HIPAA
GDPR
ISO 27001

Getting Started

Getting started with NVIDIA L40S on DigitalOcean is developer-friendly: provision GPU Droplets in minutes via web console, with CUDA-ready images, 1-Click ML models, and ecosystem integrations for seamless AI/ML workflows.

Steps

  1. 1Sign up or log in to DigitalOcean account and add payment method.
  2. 2Click Create > Droplets, select GPU tab, choose L40S config.
  3. 3Pick datacenter region, OS/image (e.g., Ubuntu 22.04 + CUDA).
  4. 4Configure size, auth (SSH key/password), add tags/volumes.
  5. 5Launch instance, note IP, SSH in to run NVIDIA-SMI and workloads.

Pro Tips

  • Deploy via 1-Click Models marketplace for instant LLMs like Llama without custom setup.
  • Scale to multi-GPU clusters using DOKS for distributed training with minimal config.
  • Pair with Paperspace Gradient for notebook-based experimentation on L40S Droplets.

Frequently Asked Questions

What is DigitalOcean's billing model for NVIDIA L40S?▾

DigitalOcean bills per-hour for GPU instances including NVIDIA L40S. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.

Does DigitalOcean offer spot instances for NVIDIA L40S?▾

No, DigitalOcean does not currently offer spot instances for NVIDIA L40S. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.

Does DigitalOcean offer reserved instances for NVIDIA L40S?▾

Yes, DigitalOcean offers reserved instance pricing for NVIDIA L40S, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact DigitalOcean for current reserved pricing and commitment terms.

Related Pages

Compare L40S Across Providers

The L40S is available from 17 providers on GPUPerHour. Here is how other providers compare:

For a full comparison across all providers, see the L40S rental page. See all GPUs on DigitalOcean.