Unlock the full potential of your next-gen applications .
With the next generation of builders
Computational resources are becoming scarce with the advent of Neural networks.
We connect disparate GPU resources from around the globe so you always have computational resources available.
When you need it | Where you need it | In the form you need it.
But GPUNet is enabling the world to evolve even faster.
We connect large clusters of GPUs from datacenters around the globe along with independent providers - so no resource is wasted. Anyone with idle capacity can become a provider on GPUnet.
GPU Supply
With thousands of GPUs available on demand, from H100s to A6000s. Along with High speed storage to support all your needs.
Scalability
Our highly scalable and adaptable network allows you to adjust their GPU resources as your needs evolve. You always have access to the computing power you need.
Competitive Prices
Our team of experts is dedicated to providing you with cost-effective solutions that are perfectly tailored to meet your unique computational requirements.
Layer 1 Blockchain
GAN Chain is designed to offer you enhanced security, native token incentives, programmability, scalability, and a robust and reliable ecosystem for democratizing access.
Built on our Blockchain: GAN Chain
Global Trust
Fifty validators are already active on GAN Chain.
6000 Node Holders
Join our node sale and become a part of the network today.
G Points: The Key to GAN Chain
Earn platform rewards for participation, redeemable for $GPU Tokens.
Usecases & Our Solutions
Discover the power of high-performance GPUs.
Artificial Intelligence / Machine Learning
Accelerate AI training, finetuning & inferencing with immense capabilities.
60%
RENDERING FRAMES
Rendering / Simulation / Visualization
Achieve faster rendering times for your visual projects.
Data Analytics / Scientific Computation
Enhance scientific simulations and analysis with scalable processing.
And more experiments
Unlock custom applications and exceeded limits with versatile, high performance GPUs.
Our Journey
A testament to our history, milestones along the way and future.
3 Billion years ago, life was formed, 600 million years ago the first brains evolved.
Humans came recently, and in the 1950s, they started working on AI.
2022 saw a true mass adoption of AI with self-driving cars & ChatGPT.
Every task on the planet was headed to AI, but we were running out of GPUs.
AI started mostly on linear or text data - we call it 1D.
Images and videos, the trend of 2024, are mostly 2D.
BrahmGAN, as GPUnet was called earlier, made a 3D generative AI back in 2022.
We were able to convert text to 3D, images to walk-thru worlds, but…
We needed a million GPUs to cover the breadth of topics like ChatGPT.
In 2022, the entire planet’s AI-grade GPUs were a million in total!
The team tried to rent some on AWS/GCP, but they were too expensive.
Web3 platforms like Render Network existed, but only consumer grade.
So, we built a dApp to accelerate compute availability at a planetary scale.
Large data centres (DC) could simply upload their idle GPUs on our decentralised application, the dApp.
Soon, CDAC from India, the team behind supercomputers, joined GPUnet.
The idea clicked: reducing idle time across many DCs brought down the cost.
India’s largest data center, Yotta (backed by Hiranandani group), joined GPUnet.
SFcompute in San Francisco booked a large capacity of 512 GPUs for a year!
GPUnet was growing, adding more DC partners in Europe, the US, the Middle East & India.
In 2024, we achieved a total revenue of $10M with over $500,000 in profits.
Where are we headed now? The future is neither a shortage nor an excess of GPUs.
GPUnet envisions a GRID where many parties contribute compute across the planet.
All this is tracked transparently and permissionlessly on GANchain,
a blockchain run by more than 1,000 independent validators globally.
The engineering efforts to orchestrate compute are no less than the electricity grid:
We have built a robust virtualization platform (dApp)
and are building a cross-GPU orchestration layer (Nvidia + AMD + more).