Cisco Expands AI Networking Portfolio with New 400G Switches

Artificial intelligence is transforming data centers, cloud platforms, and enterprise IT infrastructure. As organizations deploy larger AI models and expand GPU clusters, their networks must handle enormous volumes of data while maintaining low latency, high throughput, and power efficiency. Traditional data center networking designs can struggle to keep pace with these increasingly demanding workloads.

To address these challenges, Cisco is expanding its AI networking portfolio with new switching silicon and next-generation optical connectivity technologies. Announced at the Open Compute Project (OCP) Global Summit on October 12, 2026, these developments include the Cisco Silicon One G302 switching processor and a collaboration with NVIDIA to develop Ultra-Dense Small Form Factor Pluggable (USFP) optics designed for 400G-per-lane signaling. Together, they support Cisco’s broader vision for scalable, high-performance Ethernet networks built for AI infrastructure. 

For businesses planning to expand AI capabilities, these innovations highlight an important trend: network infrastructure is becoming just as critical as computing power and storage.

What Cisco Announced for AI Networking

Cisco’s latest announcements focus on improving network capacity, increasing bandwidth density, and helping data centers scale AI workloads without introducing unnecessary infrastructure complexity.

The key developments include:

• Cisco Silicon One G302: A new 51.2 Tbps switching processor designed for high-bandwidth data center networking, including top-of-rack deployments.
• 400G-per-lane optical technology: Cisco and NVIDIA plan to develop USFP optics supporting next-generation high-speed electrical signaling.
• Improved bandwidth density: The proposed optical form factor aims to connect more computing capacity within a comparable physical footprint.
• Greater power efficiency: USFP is designed to improve power efficiency compared with 200G-per-lane optical modules.
• Open ecosystem development: Cisco and NVIDIA plan to work toward an open, multi-source USFP specification, supporting broader industry participation.

These announcements address two interconnected requirements of AI networking: switching systems must move more traffic, while optical connections must carry more data efficiently between network devices.

Cisco Silicon One G302: Built for High-Density AI Workloads

The Cisco Silicon One G302 is designed to help networking vendors build high-performance switches for demanding data center environments. Its architecture targets AI and web-scale networking, where large numbers of servers, accelerators, and storage systems must communicate efficiently. The processor can support a range of network roles, including leaf-and-spine architectures, top-of-rack switching, and scale-out AI networking.

Key technical specifications

Switching capacity: 51.2 Tbps, full duplex.

Ethernet configuration: Support 32 × 1,600 Gigabit Ethernet interfaces in an appropriate system configuration.

SerDes technology: Advanced 224G-generation SerDes.

Target deployments: Data center leaf-and-spine networks, top-of-rack switching, and AI networking fabrics.

Connectivity options: Designed to support direct-attach copper, active electrical cables, and supported optical connectivity technologies.

Thermal integration: Cisco highlights integration with direct-to-chip liquid cooling in its new G302-based system direction.

Availability: Cisco announced plans for G302-powered systems to begin shipping to customers before the end of 2026.

Specifications describe the switching processor and its design capabilities; actual port configurations, supported optics, cooling requirements, and availability depend on the finished system. 

Cisco’s New 400G Switches: An Overview

Powered by the Silicon One G302, Cisco’s new 400G switches (expanding the flagship Cisco Nexus 9000 series) represent a leap forward in data center networking. These switches are designed to serve as the spine and leaf nodes in a dedicated AI fabric.

By offering unprecedented 400GbE port density, these switches allow data center architects to connect next-generation GPU servers directly at 400G speeds, or aggregate multiple 100G/200G server links without oversubscribing the uplinks. They are built to operate as a unified, non-blocking fabric that treats the entire AI cluster as a single, highly efficient compute engine.

Key Features:

• 51.2 Tbps G302 switching capacity: Designed for dense top-of-rack AI networking.
• 102.4 Tbps G300 platform capacity: Intended for larger-scale AI fabrics and cloud data centers.
• 1.6T optics support: Enables higher bandwidth per physical port and greater front-panel density.
• Flexible port speeds: The G302 supports 10G through 1.6T port configurations.
• Direct-to-chip liquid cooling: Helps address the heat and power challenges of high-density AI switching.
• USFP optics roadmap: Supports a future path to 400 Gb/s per lane.
• Open SONiC support: Cisco is extending its Live Protect runtime security capability to SONiC environments.

Benefits of Cisco 400G Switching

Upgrading to Cisco’s 400G AI switching platform delivers immediate, measurable benefits to your AI initiatives:

• Eliminates GPU Starvation: By providing massive, non-blocking bandwidth, the network ensures GPUs are constantly fed with data, maximizing your ROI on expensive AI compute hardware.
• Scales Seamlessly: The high-radix architecture allows you to build massive, multi-thousand GPU clusters without adding excessive layers of switches, reducing latency and complexity.
• Reduces Power and Cooling: Consolidating lower-speed links into high-density 400G ports reduces the overall power consumption and physical footprint of the network.
• Unified Ethernet Fabric: Allows organizations to use a single, standardized Ethernet network for AI storage.

Cisco and NVIDIA Introduce USFP 400G Optics

Scaling AI fabrics requires rethinking physical interconnects. To address this, Cisco and NVIDIA joined forces to introduce the Ultra-Dense Small Form Factor Pluggable (USFP) optical module design.

• 400G-per-Lane Performance: USFP is engineered to support 400Gb/s-per-lane electrical signals, enabling up to 12.8 Tb/s of aggregate capacity in an OSFP-sized footprint.
• 4x Bandwidth Density: Delivers four times the front-panel bandwidth density compared to previous 200G-per-lane optical modules.
• 1.3x Power Efficiency Improvement: Reduces the overall power footprint per bit, enabling AI factories to scale compute capacity without overwhelming thermal and power budgets.
• Preserves Pluggable Operations: Maintains the serviceability, deployment ease, and operational simplicity of traditional pluggable transceivers while dramatically increasing capacity.

Cisco 400G Switches vs Traditional Data Center Networking

Does every business need 400G networking?

No. Many organizations can continue using existing infrastructure if it meets their application performance and capacity requirements.

Higher-speed networking becomes more relevant when businesses operate large AI clusters, move large datasets frequently, consolidate high-throughput workloads, or encounter persistent congestion in their current network.

Why Businesses Need to Upgrade Their Network Infrastructure

Many organizations have invested heavily in AI servers and GPUs, only to find their training times are longer than expected. The culprit is almost always the legacy network.Businesses need to upgrade to 400G AI networking because:

• Preventing AI Infrastructure Bottlenecks: Upgrading compute nodes with modern GPUs without upgrading the underlying network fabric results in choked data streams and wasted capital expenditure.
• Supporting Next-Gen Workloads: Real-time AI inference, LLM fine-tuning, and automated agentic AI require high-throughput Ethernet fabrics that standard 10G/100G switches cannot support.
• Future-Proofing Data Center Fabrics: Deploying open, flexible Ethernet standards ensures your network can seamlessly absorb future 800G and 1.6T speed upgrades.

The Future of AI Networking with Cisco

Cisco’s 400G announcements are just the beginning. The future of AI networking with Cisco points toward 800G and eventually 1.6T Ethernet, driven by Cisco’s active leadership in the Ultra Ethernet Consortium (UEC).

Furthermore, Cisco is deeply integrating Artificial Intelligence into the network itself (AIOps). Future iterations will feature self-healing fabrics that use machine learning to predict congestion, automatically reroute traffic, and optimize power consumption without human intervention. The network will no longer just support AI; the network itself will be powered by AI.

Get AI-Ready Networking Solutions with Compu Devices

Building an AI-ready network requires more than just high-speed ports—it demands switches, optics, and routing infrastructure designed for lossless, low-latency, high-density operation.

Compu Devices offers enterprise networking hardware suitable for AI and high-performance computing deployments. Whether you’re building a new AI fabric or upgrading existing data center infrastructure, our team can help you identify the right switches, routers, and connectivity solutions for your workload requirements.

Don't let a legacy network bottleneck your AI ambitions. Browse our extensive AI networking catalog, or contact our infrastructure experts for a custom quote and fabric design consultation.

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