P66789-001 HPE 400GB Data Processing Unit 1 Port QSFP112 B3140H Adapter

Comprehensive Product Overview

The HPE P66789-001 400GB 1 Port Data Processing Unit InfiniBand NDR Ethernet QSFP112 HHHL B3140H Adapter defines a new class of high‑performance adapters that sit at the intersection of ultra‑fast networking, hardware acceleration, and software‑defined infrastructure. As a versatile DPU (Data Processing Unit), this HPE‑branded adapter integrates a powerful data path accelerator with a 400GbE / NDR InfiniBand port, enabling enterprises and HPC clusters to offload, accelerate, and isolate data center workloads.

Main Information

• Manufacturer: HPE
• Part Number: P66789-001
• Product Type: High-Speed Ethernet Adapter

Technical Highlights

• Blazing throughput reaching 400 Gb/s
• Engineered for ultra-fast data transmission
• Equipped with 1 dedicated port
• Utilizes advanced QSFP112 connector technology
• Compact HHHL (Half-Height, Half-Length) design
• Optimized for enterprise-grade server environments

Cable Support

• Compatible with NDR QSFP112 cabling solutions
• Ensures stable and reliable connections

Server Integration

• Validated for XD670 server systems
• Fully supported on XD665 platforms

Key Advantages

• High-speed networking for demanding workloads
• Future-ready design supporting next-generation infrastructure
• Reliable compatibility with HPE enterprise servers

Ideal Use Cases

• Data-intensive applications requiring rapid transfer rates
• Enterprise environments needing scalable connectivity
• High-performance computing clusters

HPE P66789-001 400GB Single-Port DPU Adapter

The HPE P66789-001 400GB 1 Port Data Processing Unit InfiniBand NDR Ethernet QSFP112 HHHL B3140H Adapter represents an advanced class of infrastructure acceleration hardware engineered for modern data center environments that require deterministic latency, high bandwidth throughput, and programmable packet processing. Designed as a high-performance Data Processing Unit, this adapter integrates network, storage, and security acceleration capabilities directly onto the card, enabling offload of complex data path workloads from host CPUs. The hardware is engineered with a PCI Express high-speed interface that ensures full utilization of the 400Gbps link bandwidth while maintaining low overhead communication between host system memory and the DPU processing complex. This architecture supports hyperscale computing models, artificial intelligence clusters, high-frequency transactional environments, and distributed storage systems that demand predictable performance.

High-Speed 400Gbps Connectivity Capabilities

The adapter provides a single QSFP112 interface capable of operating at 400Gbps, making it suitable for environments that rely on ultra-fast interconnects for cluster communication. This throughput level enables rapid transmission of large datasets, distributed training data, or high-resolution streaming information without bottlenecks. The interface supports advanced modulation and signal integrity optimization technologies to ensure stable transmission across high-speed fabrics. The port is optimized for next-generation switch infrastructures and can operate in environments where ultra-low latency and high packet throughput are required simultaneously.

Signal Integrity

The electrical architecture of the adapter is engineered with multi-layer PCB design and impedance-matched traces to maintain signal fidelity at 400Gbps speeds. Sophisticated equalization algorithms embedded in the physical layer hardware compensate for channel loss and crosstalk, ensuring consistent data delivery across supported cable assemblies. The design incorporates advanced clock recovery circuitry and low-jitter components that preserve data integrity even under heavy load conditions or extended runtime deployments.

Thermal Optimization

To maintain operational stability at maximum throughput, the card uses a thermal-optimized heat dissipation structure integrated into the HHHL form factor. Precision-machined heat sinks, airflow channeling fins, and thermal interface materials ensure efficient heat transfer from processing components to system airflow streams. This design allows sustained performance without thermal throttling in densely populated server environments.

Data Processing Unit Acceleration

The DPU subsystem within the adapter acts as an independent processing engine capable of executing networking, storage, and security tasks directly on the card. By offloading these functions from the host CPU, overall system efficiency improves while freeing compute cores for application workloads. The processing architecture integrates programmable cores, hardware accelerators, memory subsystems, and packet engines that operate concurrently. This parallelized processing approach enables line-rate handling of complex workloads such as encryption, deep packet inspection, virtual switching, and storage protocol translation.

Acceleration Modules

Dedicated hardware acceleration blocks within the DPU handle cryptographic operations, checksum calculations, memory movement, and packet classification. Offloading these tasks from general-purpose CPUs reduces processing latency and lowers power consumption. The architecture is optimized to process millions of packets per second while maintaining consistent latency characteristics, making it suitable for real-time analytics, financial systems, and distributed computing frameworks.

Integrated Memory

The integrated memory subsystem provides fast local storage for packet buffers, flow tables, and processing instructions. This on-board memory minimizes reliance on host memory for data path operations and contributes to faster decision making within the DPU pipeline. High-bandwidth memory channels ensure that internal processing units remain supplied with data even during peak network utilization.

InfiniBand NDR and Ethernet Converged

The HPE P66789-001 adapter is designed to support both InfiniBand NDR and high-speed Ethernet environments, allowing deployment flexibility across heterogeneous infrastructures. InfiniBand NDR provides extremely low latency and high message rate performance for tightly coupled computing clusters, while Ethernet compatibility allows integration with conventional enterprise networking environments. The ability to operate within both fabric types makes the adapter suitable for organizations that maintain hybrid networking architectures or that plan to transition between interconnect standards.

Low Latency Transport Mechanisms

InfiniBand NDR mode enables hardware-level transport acceleration that bypasses kernel networking stacks and delivers data directly to application memory buffers. This mechanism significantly reduces communication overhead and ensures predictable latency. Such capabilities are essential for applications that rely on synchronous node communication or distributed memory sharing.

Advanced Ethernet Processing Features

In Ethernet mode, the adapter supports advanced offload features such as segmentation acceleration, receive side scaling, and flow steering. These features distribute network processing tasks across multiple cores efficiently while maintaining balanced workload distribution. Hardware classification engines can identify flows and apply policies without software intervention, improving overall network performance.

Adaptive Protocol Switching

The hardware can dynamically adapt to protocol requirements through firmware configuration, enabling administrators to tailor the adapter for specific workloads or network topologies. This adaptability ensures that infrastructure investments remain viable even as networking standards evolve.

HHHL Form Factor Characteristics

The half-height half-length mechanical profile allows installation in a wide range of server chassis, including high-density rack servers and compact compute nodes. The physical design conforms to standard PCI Express slot dimensions, ensuring compatibility with enterprise server motherboards. Mounting brackets and connector alignment are engineered to maintain secure electrical contact and structural stability during operation.

Mechanical Stability and Durability

The adapter’s structural frame is reinforced to withstand mechanical stress associated with shipping, installation, and continuous operation. High-strength materials are used to prevent flexing or vibration that could compromise electrical connections or thermal interfaces. This durability ensures consistent performance across extended deployment lifecycles.

Connector Interface Construction

The HPE P66789-001 QSFP112 connector is manufactured with precision alignment and gold-plated contacts to maintain signal reliability over repeated cable insertions. The connector housing is designed to prevent dust intrusion and to maintain stable mating pressure, which is essential for sustained high-speed transmission.

System Integration Considerations

The adapter’s compact dimensions and optimized layout allow it to coexist with other expansion cards without obstructing airflow or adjacent slots. This makes it suitable for densely configured servers that host multiple accelerators or storage controllers.

Security Acceleration

Integrated security acceleration hardware enables encryption, authentication, and data integrity verification directly within the adapter. By performing these tasks on dedicated circuitry, the DPU can process secure traffic at full line rate without burdening host CPUs. This capability is critical for environments that handle sensitive data or that require encrypted communications across distributed systems.

Isolation Between Workloads

Built-in virtualization and isolation features allow multiple workloads to share the adapter securely. Hardware-enforced partitioning prevents data leakage between tenants and ensures that performance remains predictable even when multiple virtual machines or containers utilize the same network interface.

Encrypted Data Path Processing

Encryption engines integrated into the data path pipeline allow secure traffic to be processed without performance degradation. These engines support industry-standard cryptographic algorithms and can operate concurrently with packet classification and routing functions.

Performance Optimization for High-Density Environments

The adapter is optimized for deployment in large-scale server clusters where network performance must remain consistent under heavy load. Advanced queue management, traffic shaping, and congestion control algorithms ensure efficient utilization of available bandwidth. These mechanisms prevent packet loss and maintain stable throughput even during peak network activity.

Scalable Queue Architecture

A multi-queue architecture allows simultaneous processing of numerous traffic flows. Each queue can be mapped to specific CPU cores or virtual machines, enabling efficient parallel processing. This design reduces contention and ensures that high-priority workloads receive immediate attention.

Congestion Detection

Embedded logic monitors network conditions in real time and adjusts transmission parameters to avoid congestion. This proactive approach helps maintain consistent latency and throughput across distributed systems. Adaptive rate control ensures that data flows remain stable even when network conditions fluctuate.

Latency Determinism

Deterministic latency is achieved through hardware scheduling and time-aware transmission features. These mechanisms allow precise control over packet timing, which is essential for applications requiring synchronized communication or predictable response times.

Advanced Networking Workload

The HPE P66789-001 adapter is tailored for workloads that require high throughput, minimal latency, and intelligent packet handling. These workloads include distributed databases, large-scale analytics platforms, high-performance computing clusters, and storage networks. The combination of 400Gbps bandwidth and DPU acceleration ensures that demanding applications can operate without network-related performance constraints.

High-Performance Computing Optimization

In high-performance computing environments, efficient node-to-node communication is critical. The adapter’s architecture minimizes communication delays and maximizes message rate, enabling parallel processing applications to scale efficiently across multiple nodes.

Machine Learning Data Pipelines

Artificial intelligence workloads require rapid transfer of training datasets between storage systems and compute nodes. The adapter’s high throughput and offload capabilities accelerate these transfers, reducing training time and improving overall productivity.

Storage Networking Efficiency

When used in storage environments, the adapter accelerates data movement between storage arrays and compute systems. Hardware-based processing ensures that storage protocols are handled efficiently, reducing latency and increasing throughput.