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🧨 Nvidia Digits - and their desktop supercomputer

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⭐️ CodeGPT update - looking at IDE integration

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Bringing insights into the latest trends and breakthroughs in AI

Nvidia

Digits, a supercomputer for your desktop

NVIDIA’s Project DIGITS introduces a personal AI supercomputer designed for developers, researchers, and data scientists. It provides high computational power in a compact form as a supercomputer that can run AI models with up to 200 billion parameters to train and test your models locally with the GB10 chip, which delivers a petaflop of computing power.

1. High Performance Hardware: Powered by the GB10 Grace Blackwell Superchip, DIGITS combines a 20-core Arm-based CPU and NVIDIA Blackwell GPU, delivering up to 1 petaflop of FP4 AI performance.

2. Enhanced Scalability: A single unit supports models with up to 200 billion parameters, while linking two units allows handling of up to 405 billion parameters.

3. Ample Memory and Storage: Equipped with 128GB of unified memory and up to 4TB NVMe SSD, enabling efficient processing of large datasets and AI model deployment.

4. Software Ecosystem: Runs on NVIDIA DGX OS and supports frameworks like PyTorch, Python, and Jupyter notebooks, providing tools to streamline AI development workflows.

5. Developer-Friendly Design: Compact form factor enables local development and testing, reducing reliance on cloud resources and improving cost efficiency.

Project DIGITS represents a shift in AI accessibility, allowing developers to harness data center-grade AI capabilities from a desktop device. Fun fact - it runs on a linux-based NVIDIA DGX OS and has Nvidia’s most recent chipset, the Grace Blackwell. Project DIGITS will be available in May from NVIDIA and top partners, starting at $3,000. Sign up for notifications today.

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CodeGPT

Google AI studio now integrates with IDE

CodeGPT, an AI-powered coding assistant, integrates seamlessly with popular IDEs like PyCharm and VS Code. It offers features such as intelligent code suggestions, error detection, and code refactoring, aiming to enhance developer productivity and code quality. It’s great, and Jetbrains just released integration of AI studio right into the IDE. Here are a few things people like about it:

1. Chat with Code: CodeGPT provides intelligent code suggestions, autocompletion, and debugging support, and you can ask it stuff!

2. Seamless IDE Integration: Available as a plugin for both PyCharm and VS Code, CodeGPT integrates into the developer's workflow without requiring additional tools or platforms.

3. Support for Multiple AI Models: The extension allows connection to various AI models from providers like OpenAI, Google, and Anthropic, offering flexibility in choosing the most suitable model for specific tasks.

4. Customizable AI Agents: Developers can create, use, and share custom AI agents tailored to their coding needs, enhancing the personalization of the coding assistant.

5. Enhanced Code Review: With features like the Agent CodeReviewer, CodeGPT assists in reviewing code by connecting to GitHub repositories, providing insights to improve code quality. Combine this with live-interactive coding between a peer, and you have a very powerful set of tools for review

There are many other popular solutions right now: Github CoPilot, Replit, Cursor, or just using ChatGPT in another window. But, integrating into the IDE is … well it’s just better (especially if it is free). Don’t a dinosaur, upgrade your tools.

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