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NVIDIA to Purchase Mellanox for $6.9 Billion

Today NVIDIA announced plans to acquire Mellanox for approximately $6.9 billion. The acquisition will unite two of the world’s leading companies in high performance computing. Together, NVIDIA’s computing platform and Mellanox’s interconnects power over 250 of the world’s TOP500 supercomputers and have as customers every major cloud service provider and computer maker.

The emergence of AI and data science, as well as billions of simultaneous computer users, is fueling skyrocketing demand on the world’s datacenters,” said Jensen Huang, founder and CEO of NVIDIA. “Addressing this demand will require holistic architectures that connect vast numbers of fast computing nodes over intelligent networking fabrics to form a giant datacenter-scale compute engine.

The data and compute intensity of modern workloads in AI, scientific computing and data analytics is growing exponentially and has put enormous performance demands on hyperscale and enterprise datacenters. While computing demand is surging, CPU performance advances are slowing as Moore’s law has ended. This has led to the adoption of accelerated computing with NVIDIA GPUs and Mellanox’s intelligent networking solutions.

We’re excited to unite NVIDIA’s accelerated computing platform with Mellanox’s world-renowned accelerated networking platform under one roof to create next-generation datacenter-scale computing solutions. I am particularly thrilled to work closely with the visionary leaders of Mellanox and their amazing people to invent the computers of tomorrow.”

Datacenters in the future will be architected as giant compute engines with tens of thousands of compute nodes, designed holistically with their interconnects for optimal performance. An early innovator in high-performance interconnect technology, Mellanox pioneered the InfiniBand interconnect technology, which along with its high-speed Ethernet products is now used in over half of the world’s fastest supercomputers and in many leading hyperscale datacenters.

This exciting transaction would unite two HPC industry leaders and strengthen the combined company’s ability to create data-centric system architectures for the convergence of the HPC and hyperscale markets around AI and other HPDA tasks,” said Steve Conway from Hyperion Research. “To maximize that opportunity, it’s important that the company avoid integrating too tightly around their own solutions. Our studies consistently show that buyers want systems to support a wide and growing variety of processors and other components.”

With Mellanox, NVIDIA will optimize datacenter-scale workloads across the entire computing, networking and storage stack to achieve higher performance, greater utilization and lower operating cost for customers.

We share the same vision for accelerated computing as NVIDIA,” said Eyal Waldman, founder and CEO of Mellanox. “Combining our two companies comes as a natural extension of our longstanding partnership and is a great fit given our common performance-driven cultures. This combination will foster the creation of powerful technology and fantastic opportunities for our people.”

The companies have a long history of collaboration and joint innovation, reflected in their recent contributions in building the world’s two fastest supercomputers, Sierra and Summit, operated by the U.S. Department of Energy. Many of the world’s top cloud service providers also use both NVIDIA GPUs and Mellanox interconnects. NVIDIA and Mellanox share a common performance-centric culture that will enable seamless integration.

In this video, Gilad Shainer from the InfiniBand Trade Association describes how InfiniBand offers the optimal interconnect technology for Ai, HPC, and Exascale.

Once the combination is complete, NVIDIA intends to continue investing in local excellence and talent in Israel, one of the world’s most important technology centers. Customer sales and support will not change as a result of this transaction.

In related news, NVIDIA will host the GPU Technology Conference next week in Silicon Valley.

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