Stories about building the worldwide compute grid

Spotlight

Tutorials

GPUNET Verifiable Exchange: The Next Frontier for $GPU, Nodes and Ecosystem [TEASER]

GPUNET Verifiable Exchange: The Next Frontier for $GPU, Nodes and Ecosystem [TEASER]

With the arrival of GVEX, the protocol takes a major step forward: Node holders can fully leverage trading capability on their operation business, by opting to buy Nodes from market and structure a stackable Node operations business, that's one of the perk for holding a Node.

Djal

Tutorials

State of GAN Chain - Pragmatic roadmap to everything GPU

State of GAN Chain - Pragmatic roadmap to everything GPU

At the heart of GAN Chain lies a simple design philosophy: growing bandwidth demands must always be balanced by the chain’s built-in economic value. The architecture is engineered to make GPU compute both verifiable and rewarding, with every layer reflecting this commitment.

DJAL

Tutorials

GPU Quest: Road to TGE

GPU Quest: Road to TGE

GPU.net is advancing decentralized computing by enabling GPU resource sharing, and its upcoming Token Generation Event (TGE) marks a significant milestone. The “Road to TGE” campaign on token.gpu.net provides a structured way for participants to earn rewards and engage with the project. This overview explains the campaign, its components, and how you can get involved in a professional and straightforward manner.

Surya Ranjith

More Stories

Tutorials

GPU SUBNETS - A New Era

GPU SUBNETS - A New Era

In a world where centralized GPU computing is expensive and restrictive, Subnets on GAN Chain offer a decentralized revolution. By connecting creators, users, and investors to a global pool of GPU resources, Subnets deliver affordable, scalable, and community-governed computing power. With tools to simplify project deployment, incentives for participation, and AI-optimized resource allocation, GPU.NET is not just solving today's GPU challenges — it's building the future. Join the movement: create, innovate, and grow with Subnets on GAN Chain.

Surya Ranjith

Tutorials

GPUNET Q1 2025: Dev Updates, Product Progress & Ecosystem Recap

GPUNET Q1 2025: Dev Updates, Product Progress & Ecosystem Recap

As Q1 2025 wraps up, here’s a comprehensive recap of everything we’ve built, shipped, and grown at GPUNet—from the core protocol to the community layer.

Ivish Sheldon

Tutorials

How to rent GPU's on our dApp

How to rent GPU's on our dApp

Seamlessly access high-performance GPUs for your AI, rendering, and compute-intensive tasks. Simply browse available nodes, choose the best fit for your needs, and start renting—all on a decentralized, secure platform. Experience cost-effective and scalable computing power like never before!

Ganesh Hegde

Provider Guide

Complete Guide on running a GPU Provider Nodes

Complete Guide on running a GPU Provider Nodes

This guide aims to minimize the friction in using documentation, providing you with a streamlined approach to set up your Provider GPU node. We'll walk you through the essential steps, ensuring you gather all the correct procedures effortlessly. With this guide, you'll have a clear path to running your Provider node efficiently. Let's dive into the steps and make the setup process as smooth as possible.

DJAL

Validator Guide

Complete Guide on running a GPU Validator Node

Complete Guide on running a GPU Validator Node

This guide aims to minimize the friction in using documentation, providing you with a streamlined approach to set up your validator GPU node. We'll walk you through the essential steps, ensuring you gather all the correct procedures effortlessly. With this guide, you'll have a clear path to running your validator node efficiently. Let's dive into the steps and make the setup process as smooth as possible.

DJAL

Community Program

Large Multimodal Models (LMMs) vs Large Language Models (LLMs)

Large Multimodal Models (LMMs) vs Large Language Models (LLMs)

Large multimodal models (LMMs) are a big change because they can handle different types of data like text, images, and audio. But they are complex and need a lot of data, which can be tricky at times. From the start, it was evident that AI would need to be multifunctional and serve as a single platform for various purposes, and LMM exactly is that.

Sujal Sripathi

Community Program

GPUNET Community Growth Program! ⚡

GPUNET Community Growth Program! ⚡

We’re excited to expand our community with all of our Guardians! With over 12,000 members already on Discord, your dedication means a lot to us. To keep this momentum going, we’re launching a Community Growth Program. Join our Discord Growth Sprint to share rewards worth 200 USDT.

Sujal Sripathi

HPC

Next-Gen GeForce RTX 50 ‘Blackwell’ Lineup Details Released

Next-Gen GeForce RTX 50 ‘Blackwell’ Lineup Details Released

Next year, AMD, Intel, Nvidia and other major brands are rolling out a slew of new chips. Big label chips with drastic improvements in architecture from it’s previous successors such as Blackwell from Nvidia, this jump is straight to the moon.

Sujal Sripathi

HPC

Supercomputing and High-Performance Computing: Understanding the Differences

Supercomputing and High-Performance Computing: Understanding the Differences

There is plenty of discussion about High Performance Computing (HPC) these days, especially because the demand for AI clusters has surged, leading to a greater emphasis on top notch computing power. For a long time, high performance computing has shown it can accurately model and predict many physical properties and events. Such performance have deeply impacted our world, helping create wealth and enhancing our quality of life.

Sujal Sripathi

NLPs

Understanding BERT: A State of the Art Model for NLP Using Deep Bidirectional Transformers

Understanding BERT: A State of the Art Model for NLP Using Deep Bidirectional Transformers

BERT recently got popular after its debut in 2018, courtesy of Google AI Language, short for Bidirectional Encoder Representations from Transformers. This new tool has become super important in the world of AI, especially for understanding human language. It’s like having a Swiss army knife for language related challenges, capable of handling tasks ranging from understanding sentiments in text to identifying important names and phrases.

Sujal Sripathi

Community Program

Assessing Large Language Models for Program Synthesis

Assessing Large Language Models for Program Synthesis

Can big computer programs make new ones? Some experts think they can, especially the really big ones. These programs are great at understanding language and creating complex computer code. People who know a lot about coding are impressed because these programs can write difficult programs easily. It shows how smart computers have become at understanding language and making new things with it. This is where prompt engineering comes in. Engineers use special instructions or prompts to help these programs learn to do cool things like creating new computer programs. By guiding them with exact directions, engineers make sure these programs can comprehend & write complex code right.

Sujal Sripathi
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