#gpu Development Tutorials & Tips | Roast Dev

Free Registrations for NVIDIA GTC' 2025, one of the prominent AI conferences, are open now

NVIDIA GTC 2025 is set to take place from March 17-21, bringing together researchers, developers, and industry leaders to discuss the latest advancements in AI, accelerated computing, MLOps, Generati...

11.03.2025 0 Read More

LLM Inference GPU Video RAM Calculator

The LLM Memory Calculator is a tool designed to estimate the GPU memory needed for deploying large language models by using simple inputs such as the number of model parameters and the selected precis...

16.03.2025 0 Read More

Does Ollama Need a GPU?

I’ve been getting this question a lot lately: “Do I really need a GPU to run Ollama?” It’s a fair question, especially if you’re just dipping your toes into the world of local LLMs. So today...

22.03.2025 0 Read More

Debugging Shaders on macOS: Instruments vs. Gpumkat

Debugging Shaders on macOS: Instruments vs. Gpumkat Debugging and optimizing Metal shaders on macOS has long been reliant on Apple's Instruments tool. However, a new alternative, gpumkat, has...

29.03.2025 0 Read More

Nosana Builders' Challenge - $3,000 USDC in prizes

We’re thrilled to launch the Nosana Builder Challenge, a developer-focused contest designed to push the boundaries of AI model deployment on the Nosana Network. This is your chance to showcase your ...

01.04.2025 0 Read More

Computación Eficiente · Nº1

¡Bienvenidos al mundo de la computación eficiente! ¿Por qué nace esta newsletter? La inteligencia artificial nos maravilla: modelos que escriben, predicen y hasta razonan. Pero hay un lado...

03.04.2025 0 Read More

What is shared memory, and how is it utilized in multi-core SoCs?

Shared memory is a fundamental concept in multi-core System-on-Chip (SoC) designs that enables efficient communication and data sharing between processor cores. Here's a comprehensive explanation of i...

03.04.2025 0 Read More

Introduction to Parallel Programming: Unlocking the Power of GPUs(Part 1)

Parallel programming is a powerful technique that allows us to take full advantage of the capabilities of modern computing systems, particularly GPUs. By breaking down a task into smaller sub-tasks an...

05.04.2025 0 Read More

TensorFlow 2.19 with GPU Support on Apple Silicon M3

Hey Dev.to community! 👋I've just published a step-by-step guide on setting up TensorFlow 2.19 with GPU acceleration on Apple Silicon M3 Macs.If you've ever faced the frustration of environment setu...

07.04.2025 0 Read More

TPUs vs GPUs in TensorFlow: Key Differences and Use Cases for Machine Learning

Introduction:In the world of machine learning and deep learning, the choice of hardware plays a critical role in determining the efficiency, scalability, and performance of models. With the rise of la...