Deploy popular AI models on DigitalOcean Gradient™ GPU Droplets with just a single click and start building absolutely anything your business needs.
Deploy the most popular third-party models with just one click.
Reduce deployment time from weeks to minutes with zero-configuration setup, automatically optimizing the model and serving stack for your GPUs.
Leverage maximum hardware efficiency, automatically. Experience high throughput, and minimal latency.
Deploy third-party AI models within your own environment. You’re in control of your droplet environment.
Preconfigured, production-ready models from third-party providers. Skip the setup and start building with a single click.
DeepSeek R1 is now available as a 1-Click Model on Gradient AI GPU Droplets, enabling developers to launch and run powerful LLMs directly from the cloud console without manual setup.
Optimized to run on high-performance GPU Droplets.
Experience affordable, high-performance AI infrastructure designed for developers and startups with DigitalOcean GPU Droplets.
Gradient 1-Click Models let you instantly deploy third-party AI models—such as Hugging Face’s LLMs—on GPU Droplets with a single click. They require zero configuration, are optimized for GPU performance, and run on your own DigitalOcean infrastructure for fast, reliable AI inference.
With zero-configuration, the serving stack and AI model are automatically installed and optimized for GPU efficiency. This reduces deployment time from weeks to minutes, while ensuring high throughput and low latency for AI inference workloads.
Available models include Meta LLaMA 3, Mistral, Qwen, Gemma, Nous Hermes, and other popular Hugging Face models. All can be deployed instantly on GPU Droplets.
GPU Droplets provide hardware-accelerated performance designed for AI and machine learning tasks. They offer high throughput, low latency, and scalable deployments using NVIDIA-powered GPU infrastructure.
Yes. Gradient 1-Click Models are deployed on your own GPU Droplet environment, giving you full control over configuration, networking, and data security.
Once deployed, you can connect to your GPU Droplet via SSH, retrieve the Bearer Token, and send inference requests—such as through cURL or Python—to the model’s endpoint running on port 8080.
Yes. DigitalOcean provides tutorials for creating advanced applications like voice-enabled personal assistants using tools like Gradio and FastAPI, powered by deployed 1-Click Models.
GPU Droplets are virtualized GPU-powered VMs that are ideal for quick AI inference deployment. Bare Metal GPUs are dedicated single-tenant servers with multiple GPUs, suited for heavy training workloads or multi-node clustering.
Gradient 1-Click Models integrate with Hugging Face’s model library, supporting a wide range of open-source LLMs optimized for GPU inference.
Plug-and-play deployment means models are production-ready out of the box. Developers can skip time-consuming environment setup and focus on building applications, lowering both infrastructure complexity and time to market.