# DigitalOcean Gradient™ AI Agentic Cloud

Build, train, and deploy AI agents with the DigitalOcean Gradient™ AI Agentic Cloud:

[DigitalOcean Gradient™ AI Platform](https://docs.digitalocean.com/products/gradient-ai-platform/index.html.md): Build AI agents on GPU-powered infrastructure using foundation models and resources such as knowledge bases and agent routes.

[DigitalOcean Gradient™ AI GPU Droplets](https://docs.digitalocean.com/products/gpu-droplets/index.html.md): GPU Droplets are VMs with GPUs in a single or 8 GPU configuration. We provide an AI/ML-ready image and 1-Click Models so you can get started without manual setup.

[DigitalOcean Gradient™ AI Bare Metal GPUs](https://docs.digitalocean.com/products/bare-metal-gpus/index.html.md): DigitalOcean Gradient™ AI Bare Metal GPUs are dedicated, single-tenant servers with eight GPUs per machine. They can run as standalone servers or as part of multi-node clusters.

[DigitalOcean Gradient™ AI 1-Click Models](https://docs.digitalocean.com/products/marketplace/1-click-models/index.html.md): 1-Click Models let you deploy third-party generative AI models on [DigitalOcean Gradient™ AI GPU Droplets](https://docs.digitalocean.com/products/droplets/how-to/gpu/index.html.md) with no additional setup or configuration.

[Paperspace](https://docs.digitalocean.com/products/paperspace/index.html.md): Paperspace is a cloud-based machine learning platform that offers GPU-powered virtual machines and a Kubernetes-based container service.

[Bare metal GPUs](https://docs.digitalocean.com/products/bare-metal-gpus/index.html.md) and GPU Droplets both provide GPU-based compute resources tailored to AI/ML workloads, but they’re each suited for different use cases. Learn more about [the difference between bare metal GPUs and GPU Droplets](https://docs.digitalocean.com/products/bare-metal-gpus/concepts/gpu-product-comparison/index.html.md).

## Latest Updates

### 27 March 2026

- The following OpenAI models are now available on DigitalOcean Gradient™ AI Platform for [serverless inference](https://docs.digitalocean.com/products/gradient-ai-platform/how-to/use-serverless-inference/index.html.md) and [Agent Development Kit](https://docs.digitalocean.com/products/gradient-ai-platform/how-to/build-agents-using-adk/index.html.md):

  - [GPT-5.4 mini](https://developers.openai.com/api/docs/models/gpt-5.4-mini)
  - [GPT-5.4 nano](https://developers.openai.com/api/docs/models/gpt-5.4-nano)
  - [GPT-5.4 pro](https://developers.openai.com/api/docs/models/gpt-5.4-pro)
  - [GPT Image 1.5](https://developers.openai.com/api/docs/models/gpt-image-1.5)

  For more information, see the [Available Models page](https://docs.digitalocean.com/products/gradient-ai-platform/details/models/index.html.md#foundation-models).

### 17 March 2026

- The following NVIDIA model is now available on DigitalOcean Gradient™ AI Platform for [serverless inference](https://docs.digitalocean.com/products/gradient-ai-platform/how-to/use-serverless-inference/index.html.md), [Agent Development Kit](https://docs.digitalocean.com/products/gradient-ai-platform/how-to/build-agents-using-adk/index.html.md), and [agents](https://docs.digitalocean.com/products/gradient-ai-platform/how-to/create-agents/index.html.md):

  - [Nemotron-3-Super-120B](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4) (Public Preview)

  For more information, see the [Available Models page](https://docs.digitalocean.com/products/gradient-ai-platform/details/models/index.html.md#foundation-models-nvidia).

### 16 March 2026

- Gradient AI Dedicated Inference Service is a managed LLM hosting service for optimized inference on dedicated GPUs, now available in [public preview](https://docs.digitalocean.com/platform/product-lifecycle/index.html.md#public-preview) and enabled for all users. For more information, see [Use Dedicated Inference](https://docs.digitalocean.com/products/gradient-ai-platform/how-to/use-dedicated-inference-platform/index.html.md).

For more information, see [the full release notes](https://docs.digitalocean.com/release-notes/).