Brand: Broadcom | Category: Network Switches
SKU: BCM88890 | Part #: BCM88890 | MPN: BCM88890
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The Broadcom Jericho3-AI BCM88890 is a purpose-built Ethernet fabric routing silicon designed to optimize GPU interconnect architectures at hyperscale. This AI-optimized chipset delivers high-radix switching with ultra-low latency and deterministic performance characteristics required for tightly coupled distributed AI training and inference workloads across large GPU clusters.
The BCM88890 architecture incorporates advanced packet processing pipelines, hierarchical queuing systems, and intelligent congestion management to maintain throughput and minimize packet loss in densely oversubscribed fabric topologies. It supports industry-standard Ethernet protocols while enabling sophisticated traffic engineering and QoS mechanisms tailored to GPU-to-GPU communication patterns.
Launched in Q3 2024, the Jericho3-AI platform addresses the critical infrastructure bottleneck in hyperscale AI deployments, where traditional data center switches cannot sustain the sustained all-to-all communication patterns and microsecond-scale latency requirements of modern large language model training and multi-modal AI applications.
| Manufacturer | Broadcom |
| Brand | Broadcom |
| Model | Jericho3-AI |
| Part Number | BCM88890 |
| Product Category | Ethernet Fabric Router Silicon |
| Application Domain | AI Infrastructure / GPU Interconnect |
| Launch Quarter | Q3 2024 |
| Architecture | High-radix Ethernet switching fabric |
| Protocol Support | Ethernet, IP, MPLS, segment routing |
| Packet Processing | Advanced multi-level hierarchical queuing |
| Traffic Management | Congestion-aware routing, QoS classification, traffic engineering |
| Form Factor | Silicon chipset (component) |
| Target Deployment | Hyperscale data centers, enterprise AI infrastructure |
| Key Optimization | Ultra-low latency, deterministic delivery for GPU-to-GPU communication |
| Integration | Integrates into modular fabric switch chassis and systems |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | Broadcom |
| Category | Network Switches |
| SKU | BCM88890 |
| Part Number | BCM88890 |
| Condition | New |
| Model | Jericho3-AI |
| Product Category | Ethernet Fabric Router Silicon |
| Application Domain | AI Infrastructure / GPU Interconnect |
| Launch Quarter | Q3 2024 |
| Architecture | High-radix Ethernet switching fabric |
| Protocol Support | Ethernet, IP, MPLS, segment routing |
| Packet Processing | Advanced multi-level hierarchical queuing |
| Traffic Management | Congestion-aware routing, QoS classification, traffic engineering |
| Form Factor | Silicon chipset (component) |
| Target Deployment | Hyperscale data centers, enterprise AI infrastructure |
| Key Optimization | Ultra-low latency, deterministic delivery for GPU-to-GPU communication |
| Integration | Integrates into modular fabric switch chassis and systems |
The Broadcom Jericho3-AI BCM88890 Ethernet Fabric Router Silicon is enterprise networking hardware for data-center, campus, and branch deployments. Common roles include core/distribution switching, server uplinks, top-of-rack fabric, and edge connectivity in mixed Cisco/Juniper/Arista environments.
Key specifications for the Broadcom Jericho3-AI BCM88890 Ethernet Fabric Router Silicon: new condition; manufacturer Broadcom; brand Broadcom; model Jericho3-AI; part number BCM88890; product category Ethernet Fabric Router Silicon; application domain AI Infrastructure / GPU Interconnect. Manufacturer part number BCM88890. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The Broadcom Jericho3-AI BCM88890 Ethernet Fabric Router Silicon interoperates with standard switching protocols (LACP, MLAG/VPC, 802.1Q, OSPF/BGP). For specific cross-vendor scenarios — Cisco-to-Arista MLAG peering, fabric integration with Cumulus/SONiC, or migration from legacy Catalyst — our network engineers map a compatibility plan as part of the RFQ.