New state-of-the-art data center features Vultr’s first AMD GPU supercompute cluster
Vultr, the world’s largest privately-held cloud infrastructure company, today announced a four-way strategic collaboration with Juniper Networks, a leader in secure, AI-Native Networking, Broadcom Inc., a leader in enterprise data center connectivity solutions, and AMD, a leader in high performance compute technologies. As a part of this announcement, Vultr is expanding its Chicago cloud data center region at Centersquare’s Lisle, Illinois location, featuring an AMD GPU supercompute cluster, powered by ROCm™ open software and an ecosystem of best-of-breed AI infrastructure collaborators.
Designed for today's enterprise and cloud-scale environments, Broadcom's Ethernet network adapters are the ideal solution for secure data center connectivity, high-performance compute clusters, and intelligent flow processing for AI training and AI inference. Meanwhile, Juniper’s AI-optimized Ethernet products deliver secure, high-performance networking with simplified operations, from the data center to the cloud edge. By combining Broadcom’s Ethernet technologies, Juniper’s networking solutions, and Vultr’s robust cloud infrastructure, customers can harness the power of the new AMD Instinct™ MI300X GPUs and ROCm™ open software for their global AI training and inference workloads.
“Open ecosystems are the foundation of innovation,” said J.J. Kardwell, CEO of Vultr. “Our collaboration with AMD, Broadcom, and Juniper Networks empowers enterprises and AI innovators to harness the full potential of accelerated computing with the highest levels of flexibility, scalability, interoperability, and security.”
“As enterprises look to expand AI investments in 2025, they need high-performance, scalable, sustainable cloud GPU infrastructure,” said Negin Oliver, Corporate Vice President of Business Development, Data Center GPU Business Unit, AMD. “AMD is proud to collaborate with Broadcom, Juniper and Vultr to bring state-of-the art AMD Instinct MI300X GPUs and ROCm software stack to Vultr’s composable cloud infrastructure to power enterprise’s AI development and deployment.”
This news comes on the heels of Vultr’s extended collaboration with AMD to make the new AMD Instinct™ MI300X accelerators and ROCm™ open software available within Vultr’s composable cloud infrastructure. Collaborating with Broadcom and Juniper is the next step in creating an open ecosystem, powered by ROCm, to unlock new frontiers of GPU-accelerated workloads from the data center to the edge.
“Ethernet has become the de facto technology for backend networks in large-scale AI deployments. Broadcom’s leading switch silicon and network adapters are accelerating such networks to ever higher performance,” said Ram Velaga, Senior Vice President and General Manager, Core Switching Group, Broadcom. “We are proud to work with AMD, Juniper and Vultr to power this supercompute cluster based on open Ethernet networking.”
“High-performance connectivity is critical for operational efficiency of AI,” said Praveen Jain, Senior Vice President & General Manager, Data Center & AI, Juniper Networks. “We were the first OEM to deliver 800G switches. Furthermore, Juniper is committed to open, AI-optimized, Ethernet solutions, with capabilities like advanced load balancing and automated congestion control for optimal AI workload performance. Through our collaboration with AMD, Broadcom and Vultr, we're building the robust network infrastructure that will fuel the AI breakthroughs of tomorrow.”
About Vultr
Vultr is on a mission to make high-performance cloud computing easy to use, affordable, and locally accessible for businesses and developers around the world. Vultr has served over 1.5 million customers across 185 countries with flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. Founded by David Aninowsky and completely bootstrapped, Vultr has become the world’s largest privately-held cloud computing company without ever raising equity financing.
Learn more at: www.vultr.com.
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