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Labrish
Nyuuz
Cisco builds Silicon One G300 for massive AI workloads
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[QUOTE="Queen, post: 86512, member: 27"] A networking titan just dropped a 102.4-terabits-per-second switching chip built to handle AI cluster workloads at scale and slash energy waste in data centers. Silicon One G300 chip targets AI infrastructure [LIST] [*]Cisco's new silicon will power upcoming Nexus 9000 and 8000 systems designed for training and inference. [*]The chip hits 102.4 Tbps throughput to support massive distributed AI deployments. [*]Hardware-level security is baked in, and the design allows future upgrades without infrastructure replacement. [*]Intelligent Collective Networking features include shared buffers, path-based balancing, and proactive telemetry. [/LIST] Performance and efficiency gains stack up [LIST] [*]Cisco claims 33% higher network utilization and 28% faster job completion versus non-optimized setups. [*]Liquid-cooled and air-cooled 102.4T systems deliver nearly 70% energy efficiency improvement over prior generations. [*]New 1.6T optics and 800G Linear Pluggable Optics cut optical power consumption by up to 50%. [*]Overall switch power use drops by 30% with the new optics tech. [/LIST] Nexus One software platform gets AI observability upgrades [LIST] [*]The unified AI networking platform now includes AI job observability and Splunk integration. [*]API-driven automation and AgenticOps use guided troubleshooting to simplify network management. [*]Features aim to reduce operational complexity for sovereign and compliance-sensitive deployments. [/LIST] Shipping and partnerships locked in [LIST] [*]The G300 chip, systems, and optics are set to ship this year. [*]Cisco is collaborating with NVIDIA, AMD, Intel, NetApp, DDN, and VAST on integrated AI stacks. [/LIST] [/QUOTE]
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Cisco builds Silicon One G300 for massive AI workloads
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