Introduction

Overview of the Cisco UCS C880A M8 Rack Server

The Cisco UCS C880A M8 Rack Server accelerates advanced AI and High-Performance Computing (HPC) workloads in every data center with next-generation NVIDIA HGX B300 NVL8 GPUs.

Based on the NVIDIA HGX platform, the Cisco UCS C880A M8 Rack Server is a high-density, air-cooled rack server designed to power the most demanding Artificial Intelligence (AI) and High-Performance Computing (HPC) workloads. It integrates the NVIDIA HGX platform with eight NVIDIA HGX B300 (SXM) GPUs and is powered by two Intel® Xeon® 6th Gen Processors, making it ideal for real-time Large Language Model (LLM) inference, next-level training performance, and large-volume data processing. The C880A M8 supports customers across the entire AI stack, from large-scale model training and fine-tuning to real-time inferencing and large-volume data processing. It integrates seamlessly into Cisco’s AI strategy, connecting and protecting the AI era by providing robust compute infrastructure. This server expands the Cisco UCS® dense AI server portfolio, offering a powerful solution for enterprises across various industries, including service providers, financial services, manufacturing, healthcare, life sciences, and automotive. With its advanced architecture, the C880A M8 ensures unparalleled performance, scalability, and enterprise manageability, making it ideal for compute-intensive AI use cases such as large-scale AI model training, fine tuning, and inferencing.

The Cisco UCS C880A M8 Rack Server stands out by integrating the cutting-edge NVIDIA HGX platform with eight NVIDIA B300 (SXM) GPUs. This powerful GPU configuration is at the heart of its capability to deliver next-level performance for the most demanding AI workloads, including large-scale AI model training, fine tuning, and real-time inferencing. The B300 GPUs provide immense parallel processing capabilities and high-speed GPU interconnects, which are critical for accelerating complex deep learning models and large language models. This integration ensures that enterprises can achieve higher token throughput and improve the economics of their AI operations, enabling profitable scaling of LLM and agentic workloads.

Beyond raw power, the Cisco UCS C880A M8 Rack Server is architected specifically to meet the unique demands of AI and HPC. Its design supports real-time large language model Inference, enabling rapid deployment and responsiveness for AI-driven applications. It also excels in next-level training performance, significantly reducing the time required to train complex AI models. Furthermore, its capacity for large-volume data processing makes it an ideal platform for data-science and big-data analytics, including GPU-accelerated ETL processes. This specialized design ensures that organizations can build, optimize, and utilize AI models efficiently, accelerating business growth with scalable and high-performance solutions.

The Cisco UCS C880A M8 Rack Server is a dedicated rack server platform designed to host and accelerate AI and HPC workloads. It supports various operating systems and virtualization platforms typically used in data center environments for AI/HPC deployments. Specific software stack compatibility includes NVIDIA AI Enterprise and NVIDIA NIM (NVIDIA Inference Microservices) for AI application deployment and optimization. For more information, see Cisco UCS C880A M8 Rack Server Data Sheet.

The Cisco UCS C-Series rack server supports operating systems such as Ubuntu, Red Hat Linux, and so on. For more information on supported operating systems, see the UCS Hardware and Software Compatibility. You can use Cisco Baseboard Management Controller 4.0 (Cisco BMC 4.0) to install an OS on the server using the KVM console and vMedia.

Overview of the Server Software

The Cisco Baseboard Management Controller 4.0 (Cisco BMC 4.0) is the management service for the Cisco UCS C880A M8 Rack Server servers. Cisco BMC 4.0 runs within the server.

You can use a web-based GUI, an SSH-based CLI, or a REST API to access, configure, administer, and monitor the server. Each interface offers different capabilities, and the tasks supported by each interface are described in their respective configuration guides.

Logging into Cisco BMC 4.0

Procedure


Step 1

In your web browser, type or select the web link for Cisco BMC 4.0.

Step 2

If a security dialog box displays, do the following:

  1. (Optional) (Optional) Check the check box to accept all content from Cisco.

  2. Click Yes to accept the certificate and continue.

Step 3

In the log in window, enter your username and password.

When logging in for the first time to an unconfigured system, use admin as the username and password as the password.

The following situations occur when you login to the Web UI for the first time:

  • You cannot perform any operation until you change default admin credentials on the Cisco BMC 4.0 Web UI.

  • You cannot close or cancel the password change pop-up window and opening it in a tab or refreshing the browser page will continue to display the pop-up window. This pop-up window appears when you login after a factory reset.

  • You cannot choose the word 'password' as your new password. If this creates problems for any scripts you may be running, you could change it to password by logging back into the user management options, but this is ENTIRELY at your own risk. It is not recommended by Cisco.

Step 4

Click Log In.


Dashboard

After logging into the Cisco BMC 4.0 GUI, you are directed to the Dashboard page. From this page, you can quickly access important features and information. Below are the key properties and sections of the Overview page:

BMC Up Time

Indicates the total duration (days, hours, minutes) that the Baseboard Management Controller (BMC) has been continuously operational since the last boot or restart.

Pending Deassertions

Displays the number of events or alerts that have been triggered but are awaiting acknowledgment or resolution. Click More info to view further details.

Table 2. Event Log

Name

Description

Sensor drop-down list

Allows filtering of the event log based on specific sensors, enabling viewing of events related to particular components or types of sensors.

ID column

A unique identifier for each event log entry.

Record Type column

Indicates the type of record, categorizing the nature of the event.

Timestamp column

The date and time when the event occurred.

Generator ID column

Identifies the entity or component that generated the event.

Manufacture ID column

Identifies the manufacturer associated with the event or component.

Sensor Name column

The name of the sensor that reported the event.

Sensor Type column

The category or type of the sensor (e.g., temperature, voltage).

Sensor Num column

A numerical identifier for the specific sensor.

Event Dir column

Indicates the direction of the event, such as asserted or deasserted.

Data column

Raw data associated with the event, often in hexadecimal format.

Description column

A human-readable explanation or summary of the event.

Access Logs

Shows the number of recent entries in the access logs of the server, which record user logins, system changes, and other security-related events. Click More info to access the detailed log entries.

Table 3. Audit Log

Name

Description

Clear Audit Logs button

Click to clear all entries from the audit log, removing historical records of system activities and user actions.

Download Audit Logs button

Click to download a copy of the audit log entries, typically in a file format for external analysis or archiving.

ID column

A unique identifier for each entry in the audit log.

Timestamp column

The date and time when the audited event occurred.

Host column

Identifies the host or system where the audited event took place.

Description column

A detailed description of the audited event, including user actions or system changes.

Available GPU

Indicates the number of Graphics Processing Units (GPUs) that are currently available for use or allocation within the server. Click More info to view details on the status and configuration of the GPUs.

Table 4. Available Graphic Boards

Name

Description

Part Number

Identifies the part number of the manufacturer for the graphic board.

Serial Number

A unique serial number assigned to the graphic board for identification.

Total GPU

Indicates the total number of Graphics Processing Units present on the board.

Available GPU

Shows the number of Graphics Processing Units currently available for use or allocation.

Table 5. GPU Information

Name

Description

GPU Marketing Name

The commercial name of the Graphics Processing Unit.

GPU PCI VID

The PCI Vendor ID of the Graphics Processing Unit.

GPU PCI DID

The PCI Device ID of the Graphics Processing Unit.

GPU GUID

A globally unique identifier for the Graphics Processing Unit.

VBIOS Version

The version of the Video BIOS installed on the Graphics Processing Unit.

Inforom Version

The version of the Inforom firmware on the Graphics Processing Unit.

GPU Require Reset

Indicates whether the Graphics Processing Unit requires a reset for certain operations or changes.

Server Ports

Following is a list of server ports and their default port numbers:

Table 6. Server Ports

Port Name

Port Number

HTTPS 443
IPMI 623
KVM/vMedia 443
NTP 123
SSH 22