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DigitalOcean
AI & ML interests
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Recent Activity
DigitalOcean partners with Hugging Face to provide state-of-the-art generative AI models to developers and businesses through our GPU-powered infrastructure. This collaboration makes it easier for users to integrate Hugging Face's most popular models into their applications, leveraging DigitalOcean’s simple, scalable cloud services to run AI workloads at scale.
Hugging Face Generative AI Services (HUGS) on DigitalOcean 1-Click Models: Deploy popular, pre-trained models directly on DigitalOcean’s GPU Droplets with no setup required. Optimized for NVIDIA GPUs, these models are ready for seamless integration with your AI applications.
Key Features:
- Easy Deployment: With DigitalOcean’s 1-Click Models, launching a Hugging Face model on GPU Droplets is simple—select the model, configure your Droplet, and deploy in minutes.
- Zero-Configuration Containers: 1-Click Models come pre-loaded with HUGS containers that are pre-configured with optimized settings for your chosen model, so you can start running inference with no additional setup.
- Scalable Infrastructure: Benefit from DigitalOcean’s reliable and flexible cloud services to scale your AI applications as needed.
Tutorials for Building with Hugging Face and DigitalOcean:
- Getting Started with 1-Click Models on GPU Droplets - A Guide to Llama 3.1 with Hugging Face
- Automating a Podcast Script using HuggingFace 1-Click Models
- Understanding the Capabilities of DeepSeek R1 Large Language Models
- Multi-GPU on raw PyTorch with Hugging Face’s Accelerate library
- Introducing Llama Vision Models with DigitalOcean 1-Click GPU Droplets
Partnership Highlights and Resources:
- See a 1-Click Model in action
- Learn more about DigitalOcean 1-Click Models powered by Hugging Face
- Watch the Live launch of HUGS - new inference solution
Get Started with DigitalOcean:
- https://www.digitalocean.com/blog
- https://www.digitalocean.com/community/tutorials
- https://docs.digitalocean.com/
Featured Models:
- meta-llama/Llama-3.1-8B-Instruct
- meta-llama/Llama-3.1-70B-Instruct
- meta-llama/Llama-3.1-405B-Instruct-FP8
- meta-llama/Llama-3.2-11B-Vision-Instruct
- meta-llama/Llama-3.2-90B-Vision-Instruct
- Qwen/Qwen2.5-7B-Instruct
- google/gemma-2-9b-it
- google/gemma-2-27b-it
- mistralai/Mixtral-8x7B-Instruct-v0.1
- mistralai/Mistral-7B-Instruct-v0.3
- mistralai/Mixtral-8x22B-Instruct-v0.1
- NousResearch/Hermes-3-Llama-3.1-8B
- NousResearch/Hermes-3-Llama-3.1-70B
- NousResearch/Hermes-3-Llama-3.1-405B
- NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO