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Edge opportunity for service providers: Turn infrastructure into new services MRC and SRv6: How Foundational Networking Innovations Are Enabling the Next Generation of AI Supercomputers The SMB Marketing Reset: Winning Customer Trust in a Digital-First Economy Inside the SOC: AI-powered DNS defense against ransomware Our Path Forward Securing the Federal Digital Experience with Cisco ThousandEyes for Government Cisco at ONUG Dallas 2026: Securing the AI Data Center in the Agentic Era Cisco and Red Hat are powering intelligent core to edge: Red Hat Summit insights Building the Capabilities That Win: How Cisco Partners Can Lead in the SMB & Mid-Market Era How Two Hours Felt Bigger Than My To-Do List Announcing Foundry Security Spec Ace the CCIE Collaboration Lab: Success Tips from a TAC Engineer Turned CCIE Protecting Agents with Cisco AI Defense and Google Agent Development Kit Powering an Inclusive Future: Your guide to the Purpose Pavilion at Cisco Live Las Vegas The Infrastructure Behind the Mission: SOF Week 2026 Cisco Networking App Marketplace Partners at Cisco Live 2026 Beyond the Pilot: Building the Clinical Data Fabric for the Agentic Era Benchmarking scale-out AI fabrics with Cisco N9000 + AMD Pensando™ Pollara 400 NICs Month of Developer Productivity: Build and Forget The race to autonomous transport networks: A new study Lean IT, future-ready: How to save time and simplify wireless management with AI Reading Between the Pixels: Failure Modes in Vision Language Models Biochar’s triple win: Healthier soils, improved crops, and decarbonization Designing a Proactive Customer Journey Modernize your data center operations with Cisco Nexus Dashboard Why your automation stack needs Cisco Agentic Workflows Try Cisco AI Defense Explorer Edition in this hands-on lab From Bandwidth to Intelligence: How Cisco is Powering AI-Ready Networks Spotlight on digital transformation | FY25 Purpose Report Galaxy Mode is live: A limited-time look at what your Cisco AI Assistant and AgenticOps can already do Securing the Agentic Workforce: Cisco Announces Intent to Acquire Astrix Security Understanding CISA BOD 26-02: Mitigating Risk from End-of-Support Edge Devices Digging Deeper: The Future of Mining with Automation and Ultra-Reliable Wireless Voices from the field: Helping farmers build resilient local economies across rural America Built like a startup, scaled like Cisco: Transforming data center cooling for the AI era Defining Model Provenance: A Constitution for AI Supply Chain Safety and Security Introducing Model Provenance Kit: Know Where Your AI Models Come From Security Insights: A Threat-First View for the Platform That Enforces Access How I Turned My Curiosity into a Patent From Strategy to Architecture: How Cisco is Building a Quantum-Safe Future Maximizing Managed Security Services: A Strategic Guide to Optimizing Your Portfolio (Part 1 of 2) Simplify access control in five easy steps Trust: Why security is your next growth engine Cisco IQ is generally available. 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AI network performance with Cisco Intelligent Packet Flow
Venkat Garig · 2026-05-20 · via Cisco Blogs

Cisco Intelligent Packet Flow marks a shift in data center networking, transforming the fabric from high-speed transport into an intelligent system built for AI and machine learning workloads. Beyond raw bandwidth, Cisco Silicon One transforms the network from a simple transport layer into an intelligent fabric by integrating telemetry, advanced load balancing, and congestion management directly into the silicon. This gives the network greater awareness of traffic behavior and path conditions, allowing it to respond more effectively to the bursty, latency-sensitive communication patterns common in modern AI environments.

Building upon this foundation, Cisco Intelligent Packet Flow now incorporates Intelligent Collective Networking from Cisco Silicon One G300 switching processor. As shown in Figure 1, this AI-first architecture delivers hardware-accelerated adaptive routing, fabric-level congestion awareness for collective operations at scale, proactive link-degradation detection before packet loss, advanced telemetry, and an Ultra Ethernet–ready foundation. With deep visibility and operational control available either through external analytics platforms using standards-based streaming telemetry infrastructure or through Cisco Nexus Dashboard with native Splunk, this evolution offers significant flexibility while bringing compute and networking closer together as a unified system of GPUs, switches, and data center fabric.

Image of a pyramid representing Intelligent Packet Flow including quadrants labeled as Intelligent Collective Networking, Deep visibility and operational control, and Hardware-accelerated telemetry.
Figure 1. Intelligent Packet Flow architecture for AI fabrics

This holistic approach delivers end-to-end performance insights essential for managing the high-bandwidth, tightly synchronized, and latency-sensitive east-west traffic that defines modern AI infrastructure.

Enhanced features

In G300-based fabrics, the components of Cisco Intelligent Packet Flow work together as a closed-loop system: Proactive network telemetry detects congestion and link degradation, Intelligent Collective Networking uses that information to adaptively reroute traffic across the fabric, and a unified observability and orchestration platform turns those signals into actionable intelligence for assurance and operations.

Key feature Capabilities
Intelligent Collective Networking
  • Adaptive and topology-aware load balancing for extremely fast convergence
  • Fast failover for equal-cost multi-path (ECMP) routing flows
  • Local and remote fault-isolation and congestion detection with fast-reroute
  • Proactive response to degraded links
  • Gray-link-aware rerouting
  • Native support for SRv6 micro-segment identifier (uSID) for efficient traffic steering crucial for GPU-to-GPU communication
Hardware-accelerated telemetry
  • In-band telemetry
  • Switch congestion notification packet (CNP)
  • Packet trimming (including back to sender)
  • Congestion signaling (CSIG)
  • Tail timestamp
  • Unreachable destination notification packet (UDNP)
  • Counters for port utilization, microburst detection, delay measurements, flow tracking, elephant flow detection, and congestion tracking
  • Programmable meters and counters used for traffic policing, coloring and for flow statistics
  • Deterministic hardware monitoring including support for ER(SPAN), sFLOW, and sampled NetFlow
  • PHY-level link-quality visibility
  • Histogram-based degraded SER detection
  • Bandwidth and congestion-related telemetry
  • Ultra Ethernet Consortium (UEC) ready
Deep visibility and operational control
  • Unified integration with Cisco Nexus Dashboard and Splunk to correlate logs, flows, and telemetry
  • Real-time assurance with live visibility into fabric health and performance
  • Advanced analytics to detect anomalies, identify trends, and enable capacity planning
  • Maps silicon-level telemetry to service-level outcomes to streamline troubleshooting

Benchmarking with large-scale AI clusters

Cisco Intelligent Packet Flow evaluated using Collective Completion Time benchmarking demonstrates a significant leap in AI network efficiency by aligning fabric behavior with collective GPU operations:

  • Across large-scale Clos deployments (8K–16K GPUs), it operates within 24% of ideal CCT, even under congestion and mixed traffic.
  • Compared to traditional ECMP, G300 reduces CCT by up to 87%, translating up to 82% improvement in job completion time (JCT).
  • It also outperforms advanced techniques like packet spraying by ~28%, while maintaining stable performance under failure scenarios.
  • By minimizing tail latency and network-induced stalls, G300 maximizes GPU utilization and unlocks up to 28% additional cluster efficiency.

Cisco advantage: Cisco Silicon One G300-powered N9000 Series Switches

At the heart of our innovation is Cisco Silicon One. The Cisco Silicon One G300 leverages P4 programmability and Intelligent Collective Networking to provide a flexible, future-proof AI infrastructure. By enabling software-based updates and real-time traffic optimization, it significantly lowers TCO while ensuring seamless scalability for the future of agentic AI.

Cisco delivers Intelligent Packet Flow through the Cisco Silicon One G300-powered N9000 Series Switches. Designed for the demands of AI, the power-efficient 102.4-Tbps bandwidth portfolio offers flexible scale-out deployment options for both air-cooled and 100% liquid-cooled fabric architectures (see Figure 2). With support for both Cisco NX-OS and SONiC, and seamless integration with a unified operating model under Cisco Nexus One, organizations gain operational consistency at any scale.

Images of Cisco’s Advanced 102.4T Systems Portfolio including the Air Cooled N9364-SG3-A and the Fully Liquid cooled N9364F-SG3-OL.
Figure 2. 102.4-Tbps systems from Cisco for AI fabrics

Our hyperscale and neocloud customers need networking that matches GPU density. Cisco N9000 with NX-OS delivers programmability and telemetry to optimize every flow. The G300 silicon enhances this with industry-leading buffers, power efficiency, and 1.6T port density. Through our strategic partnership with Cisco, we deliver lossless, high-performance networking for AI training and inference. The Nexus One platform ensures predictable performance—deep buffers manage bursty traffic, and Intelligent Packet Flow maximizes GPU utilization.”

—Thomas Berger, Director, Data Center Networking, Computacenter

Building the future of AI: Transforming your data center for AI workloads

Cisco Intelligent Packet Flow enables fabrics that can sense, adapt, and optimize in real time for the demands of large-scale AI workloads. The result is a more efficient, resilient, and intelligent infrastructure that improves collective performance, accelerates job completion, and helps unlock greater value from every GPU in the cluster. With the Cisco Silicon One G300-based N9000 Series Switches, Cisco brings this vision to market in a flexible, Ultra Ethernet–ready platform designed to unify networking and compute into a single high-performance AI system.

To experience the transformative power of Cisco Intelligent Packet Flow firsthand, request a demo or learn more by contacting your Cisco account representative. 

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