Key highlights:
io.net is now a Dell Technologies Authorized Partner and Cloud Service Provider.
The collaboration combines io.net’s GPU network with Dell’s robust hardware for AI, ML, and HPC solutions.
Enterprises gain access to scalable, cost-effective decentralized compute resources integrated with Dell infrastructure.
io.net and Dell team up to meet growing AI demands
Decentralized GPU computing platform io.net, has joined the Dell Technologies Partner Program as an Authorized Partner and Cloud Service Provider. This collaboration is set to deliver integrated solutions that combine io.net’s GPU network with Dell Technologies’ trusted hardware infrastructure, providing scalable and cost-efficient computing for AI, machine learning (ML), and high-performance computing (HPC) tasks.
With access to Dell’s resources and market strategies, io.net aims to provide enterprises with advanced solutions for handling complex computing workloads.
“Joining the Dell Technologies Partner Program is an important step for io.net. It supports our goal of delivering solutions that integrate our decentralized GPU platform with Dell’s reliable infrastructure, helping businesses address their computing challenges more efficiently and cost-effectively Together, we look forward to delivering practical, enterprise-grade solutions tailored for the next generation of AI innovation.” —Tausif Ahmed, VP of Business Development at io.net
Enhanced compute capacity and cost efficiency
io.net’s decentralized GPU network leverages globally distributed GPUs to offer scalable clusters for demanding AI and HPC applications. Traditional centralized providers often struggle to meet the growing demand for flexible, high-performance computing due to high costs and limited resources. By clustering distributed GPUs into a unified infrastructure, io.net provides a cost-effective alternative while maintaining robust performance.
As a Dell Technologies partner, io.net enhances its offerings with seamless integration of its decentralized compute platform with Dell’s advanced hardware. Enterprise clients can expect on-demand access to GPU clusters that scale to their specific requirements, ensuring reliable performance at a fraction of the cost compared to traditional cloud providers.
Addressing diverse use cases
The rise of AI, ML, and HPC applications has created an urgent need for compute solutions that are both scalable and economical. io.net’s partnership with Dell Technologies makes it easier for enterprises to deploy compute resources tailored for diverse workloads, from AI training to real-time inference.
The collaboration also enables io.net and Dell to co-market solutions, generate demand, and drive adoption across industries. By leveraging Dell’s global presence and reputation, io.net is well-positioned to democratize access to decentralized computing while meeting the rigorous standards expected by enterprise clients.
About io.net
io.net is a decentralized physical infrastructure network (DePIN) that provides on-demand access to globally distributed GPU clusters. Designed to power high-performance use cases such as AI/ML operations, cloud gaming, and blockchain validation, io.net democratizes access to GPU compute resources while reducing costs and improving scalability.
The network utilizes IO tokens, which serve as the utility currency within the io.net ecosystem. IO tokens can be used to access compute capacity, pay for services, and reward contributors who supply GPU resources to the network. This ensures a seamless, efficient, and decentralized marketplace for compute power.
For those looking to acquire IO tokens, we provide a comprehensive step-by-step guide on how to buy io.net. The guide offers insights on navigating exchanges, securing IO tokens, and engaging with io.net’s growing ecosystem.
The bottom line
io.net’s inclusion in the Dell Technologies Partner Program marks a significant step in bridging decentralized compute with enterprise-grade infrastructure. Together, the two companies are set to deliver innovative solutions for businesses navigating the growing demands of AI and HPC workloads, offering scalable, efficient, and cost-effective compute resources for the future of innovation.
