DigitalOcean AI Inference

DigitalOcean AI Inference provides cloud-based AI model inference services, including GPU Droplets and serverless inference options, designed to help developers and enterprises simplify AI application development and scalable deployment with predictable costs.

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Features of DigitalOcean AI Inference

GPU Droplets virtual machines equipped with high-performance NVIDIA or AMD GPUs, supporting AI training and inference workloads.

Serverless inference via Gradient™ AI Platform, enabling resource orchestration via API calls.

Support deploying GPUs in DigitalOcean Kubernetes (DOKS) to meet the elasticity needs of containerized environments.

Bare-metal GPU options for complex deployments requiring single-tenant direct hardware access.

Integrated Gradient™ AI Inference with Intelligent Agent Platform, including inference endpoints, an interactive Playground, and a unified SDK.

Official images with pre-installed drivers and AI/ML-ready software for rapid start and deployment.

Managed hosting for mainstream base models, including Claude Opus, for hosted inference.

Use Cases of DigitalOcean AI Inference

Developers run large datasets or complex neural networks on GPU Droplets during AI experiments or model training.

Enterprises deploy low-latency inference services to build real-time AI applications (e.g., customer support bots, fraud detection).

Startups access cost-effective compute for fine-tuning large language models (LLMs) using on-demand GPU resources.

Digital-native enterprises host production AI models in the cloud to manage inference workloads and sensitive data.

Teams quickly integrate AI capabilities into existing apps via serverless inference APIs without managing underlying infrastructure.

Users test various open-source models in an interactive Playground and deploy them to inference endpoints with a single click.

FAQ about DigitalOcean AI Inference

QWhat is DigitalOcean AI Inference?

DigitalOcean AI Inference is DigitalOcean's cloud-based AI model inference service, including GPU compute instances and serverless inference options, designed to help you deploy and scale AI applications.

QWhat services are the main components of DigitalOcean AI Inference?

The core components include GPU Droplets (GPU-enabled VMs), GPUs for DOKS, bare-metal GPUs, and serverless inference via Gradient™ AI Platform.

QWhich GPUs do DigitalOcean AI Inference's GPU Droplets support?

GPU options from NVIDIA (e.g., H100) and AMD (e.g., Instinct™ MI350X) are supported, with configurations ranging from single to multi-GPU.

QHow to use DigitalOcean's serverless inference?

Through Gradient™ AI Platform, users can call models via API endpoints without managing instances; the system automatically provisions inference resources and charges by usage.

QWho is DigitalOcean AI Inference suitable for?

Suitable for developers, startups, and digital-native enterprises for AI experimentation, model training, real-time application deployment, and production inference workloads.

QWhat deployment options exist for DigitalOcean AI Inference?

Main approaches include serverless inference via Gradient™ platform, standalone GPU Droplets, and one-click deployment templates for containerized deployment.

QWhat are the cost characteristics of DigitalOcean AI Inference?

Offers a transparent pricing model including on-demand GPU instances and token-based serverless options, designed for predictable costs.

QWhich AI models does DigitalOcean AI Inference support?

Supports mainstream base models including Claude Opus and provides hosted services for leading open-source models via inference endpoints.

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