Energy-Efficient Deep Learning — How Precision Scaling Reduces Carbon Footprint
Learn how precision scaling lowers compute needs, cuts energy use, and reduces the carbon footprint of deep learning models for sustainable AI.
How to Use LLM CLI to Deploy the GPT-4o Model on GPU cloud servers
Learn how to deploy and use OpenAI GPT-4o model effortlessly using the LLM CLI on GPU cloud servers.
Minimum GPU Benchmark for Video Editing on GPU Droplets
Learn how to leverage the cloud provider’s NVIDIA H100 GPU Droplets for high-performance video editing. This tutorial walks you through setting up FFmpeg with GPU acceleration on a GPU Droplet running Ubuntu to scale videos to 4K resolution, optimize processing time, and enhance video output quality.
Splitting LLMs Across Multiple GPUs: Techniques, Tools, and Best Practices
Learn how to split large language models (LLMs) across multiple GPUs using top techniques, tools, and best practices for efficient distributed training.
Choosing the Best Text-to-Speech Models: F5-TTS, Kokoro, SparkTTS, and Sesame CSM
In this short review, we compare the strengths of four popular open-source TTS models, and try and find which performs the best on a standaradized task.
Exploring SOTA: A Guide to Cutting-Edge AI Models
Explore cutting-edge AI with our guide to state-of-the-art models, their innovations, use cases, and impact across industries and research.
How to Perform Batch Inferencing with the cloud provider’s 1-Click Models
In this article, we will understand what is batch inferencing and demonstrate on how to do that using DigitalOcea’s 1-Click Model
Monitoring GPU utilization for Deep Learning
Follow this guide to learn how to use built in and third party tools to monitor your GPU utilization with Deep Learning in real time.
Stable Diffusion Made Easy: Get Started on GPU cloud servers
Discover how to easily set up and run Stable Diffusion on GPU cloud servers. This tutorial guides you through the step-by-step process to get your AI-powered image generation up and running smoothly, even if you’re a beginner.
Beyond Vectors – Knowledge Graphs & RAG Using Gradient
This blog post is a hands-on tutorial for building a graph-based RAG agent by integrating named entity recognition, a Graph Database for data management, and the cloud provider Gradient Agent or 1-Click Models using the OpenAI-compatible API.
