DigitalOcean

Our mission at DigitalOcean is to make cloud computing simple and accessible. Now, we're expanding that mission, and opening up possibilities for developers with our new AI infrastructure. We are excited to announce that GPU Droplets are now available for all customers. Powered by NVIDIA H100 #GPUs, these virtual machines are pre-installed with Python and Deep Learning software packages, such as Torch and CUDA, so you can get your AI app up and running quickly. By reducing the high costs and complexity associated with larger cloud providers, users can train AI models, process large data sets, and handle complex neural networks with ease. Learn more about GPU Droplets on #DigitalOcean: https://lnkd.in/geMqcbjT

💧 GPU Droplets are here! DigitalOcean’s signature virtual machines, now with the power of NVIDIA #H100 GPUs. Whether you’re running #LLMs, generating images with Stable Diffusion, or rendering high quality images on your favorite graphics software, #GPU Droplets cater to everyone, from those just getting started with AI to those running production workloads serving thousands of users. 👀 See it in action. ↓ https://lnkd.in/emZhndJn

It's so exciting for GPU Droplets to go GA! I've been using these GPU Droplets during the EA, and it's incredible how it unlocks so many opportunities for me as a developer. I've been able to deploy my own personal "ChatGPT" using Llama 3.1 with Ollama, generating video from images using stable-diffusion-2-1 and i2vgen-xl, and so much more! Key points for developers: • On-demand access to high-performance NVIDIA H100 GPUs • Pre-installed with Python, Torch, CUDA, and other deep learning packages • Flexible options from single-GPU to 8-GPU configurations • Transparent pricing for cost-effective experimentation and scaling It doesn't matter if you're training LLMs, generating content, or tackling complex data analysis, GPU Droplets provide the compute power you need without the typical cloud complexity. Go try it out!

The official kickoff of Hacktoberfest, hosted by DigitalOcean, where open-source advocates come together to celebrate a month of code, collaboration, and community. This session is packed with insightful talks and hands-on demonstrations, featuring expert speakers from various domains who will share their knowledge on the latest tech trends, AI advancements, and open-source contributions. Learn about the integration of AI with cloud technology and see how powerful tools like LLMs and GPUs are being utilized to enhance developer workflows and open-source projects. Follow us on social: 1. Twitter/X: https://lnkd.in/gjsE_T-t 2. LinkedIn: https://lnkd.in/gHZ8EnZk 3. Instagram: https://lnkd.in/eKCDbt9

Last year, NVIDIA rolled out the H100, powered by the Hopper microarchitecture. It’s one of the most powerful GPUs available today! Here’s what #developers should know ↓ → 4th gen Tensor Cores bring up to 60x acceleration compared to the Ampere Tensor Cores, making performance more efficient than ever. → With 2nd gen MIG technology, you can partition the #H100 into seven secure #GPU instances. Perfect for multi-tenant and varied workloads in virtual environments! → 4th gen NVlink allows you to scale GPU interactions with up to 900 GB/s bidirectional per GPU. This means faster data transfer and better performance for multi-instance setups. Learn more in this #DOtutorial: https://lnkd.in/eYYMGmNd

What. A. Blast. ✨ Big thank you to everyone who joined us at the DigitalOcean #AI Meetups this weekend in New York, Bengaluru, and Hyderabad! Special thanks to our community for showing up strong and our team of experts for sharing their insights. 👏👏👏

We’re proud 🦾 sponsors of the Netlify Compose Conference Join our CEGO, Wade Wegner next week in San Francisco (10/3) to hear how our work with Netlify makes it easier for customers to access the power of the #cloud. 🌩️🌩️🌩️ We hope to see you there: https://lnkd.in/ecmpHbau

// #DOtutorial // Get step-by-step instructions for running YOLOv7 model training within Jupyter Notebook on a customer dataset: https://lnkd.in/ex3-MTdx

NVIDIA #H100 #GPUs are built for large-scale, deep learning #AI use cases. Ideal for #developers handling complex models and large datasets, they offer faster training times and improved inference capabilities. Swipe to explore more benefits. 👉

Looking for a provider that offered #H100s to train the next generation of its #AIcoding models, Supermaven turned to DigitalOcean for support. Hear from Jacob Jackson, Supermaven CEO, how getting the best value for their #GPUs has translated into even better experiences for users: https://lnkd.in/ehTzzSda