Cisco Unveils 100Tbps Switch for AI Workloads
What happened
Cisco has developed a new G300 switch capable of 100 terabits-per-second, designed to connect over 128,000 GPUs for large-scale AI operations. A Cisco Silicon One architect noted on the David Bombal Podcast that the network, not compute, is now the primary bottleneck in AI. The hardware features embedded "intelligent agents" for self-healing and traffic optimization, creating new, complex security surfaces for penetration testers to assess.
Why it matters
- The Cisco Silicon One G300 is actually a 102.4 Tbps switch chip that will power the company's next-generation Nexus 9000 and 8000 series systems, expected to ship in the second half of 2026. It is manufactured using TSMC's 3-nanometer process and can support up to 512 ports, enabling flatter, lower-latency network designs for AI clusters. - A key feature is "Intelligent Collective Networking," which uses a fully shared packet buffer and path-based load balancing to manage the bursty, unpredictable traffic of AI workloads. Cisco claims this technology can reduce AI job completion times by up to 28% and increase network utilization by 33%. - The G300 chip is programmable using the P4 language, allowing its packet-processing
Key numbers
- Cisco has developed a new G300 switch capable of 100 terabits-per-second, designed to connect over 128,000 GPUs for large-scale AI operations.
- - The Cisco Silicon One G300 is actually a 102.4 Tbps switch chip that will power the company's next-generation Nexus 9000 and 8000 series systems, expected to ship in the second half of 2026.
- It is manufactured using TSMC's 3-nanometer process and can support up to 512 ports, enabling flatter, lower-latency network designs for AI clusters.
- Cisco claims this technology can reduce AI job completion times by up to 28% and increase network utilization by 33%.
What happens next
- The Cisco Silicon One G300 is actually a 102.4 Tbps switch chip that will power the company's next-generation Nexus 9000 and 8000 series systems, expected to ship in the second half of 2026.
Quick answers
What happened in Cisco Unveils 100Tbps Switch for AI Workloads?
Cisco has developed a new G300 switch capable of 100 terabits-per-second, designed to connect over 128,000 GPUs for large-scale AI operations. A Cisco Silicon One architect noted on the David Bombal Podcast that the network, not compute, is now the primary bottleneck in AI. The hardware features embedded "intelligent agents" for self-healing and traffic optimization, creating new, complex security surfaces for penetration testers to assess.
Why does Cisco Unveils 100Tbps Switch for AI Workloads matter?
The Cisco Silicon One G300 is actually a 102.4 Tbps switch chip that will power the company's next-generation Nexus 9000 and 8000 series systems, expected to ship in the second half of 2026. It is manufactured using TSMC's 3-nanometer process and can support up to 512 ports, enabling flatter, lower-latency network designs for AI clusters. A key feature is "Intelligent Collective Networking," which uses a fully shared packet buffer and path-based load balancing to manage the bursty, unpredictable traffic of AI workloads. Cisco claims this technology can reduce AI job completion times by up to 28% and increase network utilization by 33%. The G300 chip is programmable using the P4 language, allowing its packet-processing
