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AWS Unveils 10p10u Network Upgrade to Meet Demands of AI Workloads

The centerpiece of these enhancements is the new 10p10u network fabric that offers a groundbreaking 10 petabytes of capacity and sub-10 microsecond latency, essential for powering large-scale AI training clusters.<br><br>

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AWS Unveils 10p10u Network Upgrade to Meet Demands of AI Workloads

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  1. AWS Unveils 10p10u Network Upgrade to Meet Demands of AI Workloads

  2. Scaling for AI: A New Era of Networking The key to it all, said Peter DeSantis, Senior Vice President of AWS Utility Computing, is scaling cloud infrastructure to handle these modern AI applications. "A great AI network shares many similarities with a great cloud network, but with much higher demands," he said. "If this were a Vegas fight, it wouldn't even be a close fight." The 10p10u network is specifically designed to handle the vast bandwidth and low-latency requirements of AI models. It supports AWS's UltraServer technology, which runs high-performance AI workloads using the new Trainium2 chips. Each server within this system communicates with every other server simultaneously, and therefore, a robust and efficient network

  3. Key Features of the 10p10u Network Game-over for AWS, though: its network fabric, 10p10u, offers mass scalability, low-latency connectivity that enables scaling from a couple of racks to huge clusters within or across various data center campuses. It is one critical point for hosting these demandful AI jobs that do demand continuous communication at a fast velocity amongst its thousands of servers. But also enabling these technologies are many advanced new technologies recently introduced to support those innovations, including AWS has introduced: Trunk Connectors: AWS created a proprietary connector that grouped 16 fiber optic cables into a single unit. This greatly simplified installation and reduced connection errors. These innovations have cut AI rack installation time by 54%, reduced clutter, and made maintenance much easier.

  4. NeuronLink: Changing the Way Servers Connect AWS's commitment to high-bandwidth, low-latency connectivity is further reflected in NeuronLink, an innovative interconnect technology that links multiple Trainium2 servers into a single logical unit. With NeuronLink, servers can directly access the memory of other servers, which provides two terabytes per second of bandwidth at just one microsecond of latency. With the added power of the Trainium2 chips, this capability is said to give five times the compute capacity and ten times the memory of existing EC2 AI servers, making it a key component in powering the next generation of AI applications.

  5. Positioning AWS for the Future These network advancements position AWS as a leader in AI infrastructure, meaning its cloud services can grow to keep up with growing demands driven by next-generation AI models. Thus, AWS supports massive clusters for AI training, the ability to scale large workloads, and ultra-fast networking speeds to deliver on the most ambitious AI projects of the future. Read More: https://www.theindustrychronicle.com/news/aws-unveils-10p10u-network-upgrade-to-meet-demands-of-ai-workloads-nid-100.html

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