Core offerings include distributed GPU compute power, large language and multimodal model APIs, AI Agent sandbox environments, and enterprise-grade edge computing and private deployment solutions.
It supports pay-as-you-go (per-second/hour), monthly, and Spot elastic billing models, with Spot instances priced as low as 50% of on-demand. Through technological optimizations, overall AI inference costs can be reduced by up to 90% compared with traditional solutions.
The platform integrates more than 30 mainstream large language models and image/video generation models, including DeepSeek, Llama, Qwen, Kimi, GLM, and others, offering ready-to-use API services.
Primarily aimed at AI model developers, application developers, creative industries producing AI-generated content, and tech companies with high-performance, low-latency distributed compute needs.
The platform provides standardized APIs, Python SDK, and CLI tools, supporting one-click deployment and serverless mode, greatly simplifying the process from resource provisioning and model deployment to application integration.
It provides VPC network isolation, HTTPS encryption, sandbox data processing, and supports physical isolation of enterprise private GPU clusters, meeting defense-grade security standards and compliance requirements.
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.
Silicon Flow AI provides a one-stop cloud service for generative AI, integrating 50+ mainstream open-source large models, with a self-developed inference engine that significantly accelerates and reduces costs, helping developers and enterprises quickly build AI applications.
