header image

TensorGrid

TensorGrid

TensorGrid is a decentralized GPU network offering low-cost, verifiable AI computing with transparency and fair incentives.
Subscribe to TensorGrid
Receive the latest updates directly to your inbox.
Card Header

Harnessing the Power of Decentralized GPU Clusters for Next-Gen AI Acceleration

TensorGrid
March 21
As artificial intelligence continues its relentless ascent, the demand for computational power is reaching unprecedented heights. Large-scale AI models, from generative transformers to multi-modal systems, require massive parallel processing capabilities. Traditional cloud-based GPU services, while effective, are constrained by issues such as high operational costs, resource centralization, and availability bottlenecks.
Card Header

Community Development and Ecosystem Building in Decentralized GPU Computing Networks

TensorGrid
March 16
In the decentralized computing era, a strong community is the backbone of a sustainable ecosystem. Unlike traditional cloud computing, where resources are controlled by a few centralized entities, decentralized GPU networks rely on community participation to distribute computing power across multiple independent nodes.
Card Header

TensorGrid's GPU Optimization Technologies

TensorGrid
March 12
GPUs (Graphics Processing Units) have become the driving force behind modern artificial intelligence (AI) computing. In deep learning training and high-performance inference, GPUs significantly enhance computational efficiency with their powerful parallel processing capabilities and matrix computation acceleration. For instance, training large neural networks involves massive matrix multiplications and tensor operations, which GPUs can handle simultaneously, reducing training time from months to days or even hours. Without the computational power of GPUs, many AI breakthroughs (such as deep convolutional neural networks and Transformer models) would not have been possible.
Card Header

TensorGrid: Core Technologies for AI Computation Optimization

TensorGrid
March 06
TensorGrid is a decentralized AI computing platform that enhances AI training and inference efficiency through advanced scheduling algorithms, parallel computing, and dynamic resource management. By integrating zero-knowledge proofs (ZK-Proofs), it ensures the trustworthiness and verifiability of distributed computation. This article explores TensorGrid’s key optimizations in AI computation.