io.net Teams Up With Dell Technologies Partner Program To Advance GPU Compute Services

io.net, a leading decentralized physical infrastructure network (DePIN) for GPUs, has been accepted into the Dell Technologies Partner Program, which aims to grow businesses, build new market opportunities, and strengthen collaboration among the emerging technology industry. The latest alliance will see io.net become an authorized partner and cloud service provider in the program. 

Crucially, the move aims to combine io.net’s decentralized GPU network with Dell’s world-class infrastructure to deliver scalable and cost-effective solutions for emerging technologies such as AI, machine learning (ML), and high-performance computing (HPC) workloads.

Praising the latest move, Tausif Ahmed, VP of Business Development at io.net said the acceptance into the program marks “an important step for the company”, as io.net positions itself as the futuristic solution for businesses in AI, ML and HPC industries. 

“It [Joining Dell Technologies Partner Program] 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,” Ahmed added. “Together, we look forward to delivering practical, enterprise-grade solutions tailored for the next generation of AI innovation.”

‘Growing The Business With Dell Technologies’

Dell Technologies Partner Program was founded as an international channel partner program that provides partners with business development, sales and marketing resources. The program allows partners to grow and modernize their core business, build new market opportunities, collaborate with other partners and streamline their user experience. 

By joining the program, io.net will have access to all these resources available to expand its decentralized GPU network and gain additional expertise, as well as go-to-market capabilities. This will support enterprises seeking advanced solutions to handle complex computing challenges, bridging decentralized GPU power with Dell’s trusted hardware infrastructure.

Notwithstanding, as a partner in the program, io.net will have the opportunity to strategize and collaborate with other partners, extending its global reach. The “Internet of GPUs” will enhance its go-to-market efforts, demand generation, and co-marketing activities. This enables enterprise customers to deploy solutions that seamlessly integrate decentralized GPU power with robust, dependable hardware from Dell Technologies. By tapping into Dell’s extensive ecosystem, io.net is well-positioned to make decentralized compute solutions more accessible across multiple industries.

Scalable and Efficient Solutions to Decentralized AI

As the artificial intelligence and machine learning industry grows, the demand for scalable, efficient and affordable compute services also grows. Traditional cloud service providers have failed to offer affordable compute services which fractionalizes innovation and raises bottlenecks to AI development.  io.net offers a distributed and decentralized network for compute services, enabling engineers to deploy a GPU cluster of any scale within seconds at a fraction of the cost of centralized cloud providers. 

The introduction of io.net as a partner at Dell Technologies Partner Program will siphon these advantages to clients within the program. Other partners will benefit from on-demand GPU clusters capable of scaling to enterprise requirements. They will also enjoy significant cost reductions compared to centralized providers. Moreover, the seamless integration with Dell’s advanced hardware will also support innovation and reliable high-performance workloads. 

The partnership will further extend the development of AI products by democratizing access to decentralized compute, particularly for organizations tackling AI training, inference, and HPC use cases. By leveraging Dell’s global presence and enterprise trust, io.net is poised to accelerate the adoption of decentralized compute solutions while meeting the performance standards enterprises expect.

 

Exit mobile version