BCM957608-P2200GQF00 NIC
Broadcom 400G NIC BCM957608-P2200GQF00
Enterprise-Grade High-Performance Network Interface Card for AI, HPC, and Data Center Applications
Accelerate Your Enterprise Infrastructure
The Broadcom 400G NIC BCM957608-P2200GQF00 represents the pinnacle of enterprise networking technology, delivering unprecedented performance for modern data center and AI workloads. This high-performance network interface card is engineered to meet the demanding requirements of enterprise AI stacks, high-performance computing, and mission-critical applications.
Key Performance Metrics
Enterprise Use Cases for 400G NICs
AI & Machine Learning
Accelerate distributed AI training with high-bandwidth, low-latency connectivity. Essential for GPU-to-GPU communication in multi-node AI clusters, enabling faster model training and inference pipelines.
High-Performance Computing (HPC)
Support computational fluid dynamics, molecular modeling, and scientific simulations requiring massive parallel processing and ultra-low latency inter-node communication.
Storage Area Networks
Enable high-speed storage connectivity for NVMe-oF, delivering consistent performance for database applications, virtualized environments, and backup systems.
Cloud Infrastructure
Power hyperscale data centers and cloud service providers with reliable, high-throughput networking for multi-tenant environments and containerized workloads.
Real-Time Analytics
Support financial trading platforms, fraud detection systems, and streaming analytics requiring microsecond-level response times and consistent performance.
Network Function Virtualization
Enable software-defined networking, virtual firewalls, load balancers, and other network functions with hardware-level performance and flexibility.
Technical Specifications
| Feature | Specification | Benefit |
|---|---|---|
| Interface Speed | 400 Gbps | Maximum throughput for demanding workloads |
| Form Factor | PCIe 4.0 x16 | Compatible with modern server platforms |
| RDMA Support | RoCEv2, iWARP | Kernel bypass for ultra-low latency |
| SR-IOV | Yes | Hardware virtualization support |
| Offload Engines | TCP/UDP, VXLAN, NVGRE | Reduced CPU utilization |
| Power Consumption | <75W | Energy-efficient operation |
Integration with An Enterprise AI Stack
The Broadcom 400G NIC BCM957608-P2200GQF00 is a critical component in modern enterprise AI infrastructure. As noted in industry best practices, an XPU or accelerator node typically consumes up to four 400G Ethernet adapters or Super NICs. This high-bandwidth connectivity is essential for:
AI Model Training Acceleration
Enable distributed training across multiple GPU nodes with minimal communication overhead. The high bandwidth and low latency ensure efficient gradient synchronization and parameter updates across the cluster.
Scalable Inference Pipelines
Support real-time inference workloads by providing the necessary bandwidth for data ingestion, model serving, and result delivery. Critical for applications requiring sub-millisecond response times.
Future-Proof Architecture
With the IEEE currently ratifying 1.6T Ethernet standards, the 400G NIC provides a solid foundation that can scale to next-generation XPUs requiring up to 3.2T bps of GPU-to-GPU I/O.
Summary: Broadcom 400G NIC BCM957608-P2200GQF00
- High-performance 400G PCIe Gen 5.0 NIC ideal for AI/ML, HPC, and Data Center
- Built on Broadcom’s BCM7608 controller for ultra-low latency and high throughput
- Enables RDMA, RoCEv2, and advanced telemetry for real-time monitoring
- Optimized for modern server platforms with dual-port QSFP112 support
- Ideal for 800G Ethernet spine/leaf networks and scale-out AI infrastructure
Broadcom 400G NIC BCM957608-P2200GQF00 | Frequently Asked Questions
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