Cisco UCS C845A M8 Rack Server

Deskripsi

Cisco UCS C845A M8 Rack Server

The Cisco UCS^® C845A M8 Rack Server is a highly scalable, flexible, and customizable AI system based on the NVIDIA MGX reference design for accelerated computing. With support for two (2) to eight (8) NVIDIA or AMD PCIe GPUs and NVIDIA AI Enterprise software, it delivers high performance for a wide range of AI workloads – including Generative AI fine-tuning, RAG and inference.

The Cisco UCS C845A M8 Rack Server is designed to address the most demanding AI workloads. Now an integral component of Cisco^® AI PODs (Cisco Validated Designs for AI), the Cisco UCS C845A M8 provides a robust foundation for modern AI infrastructure, allowing organizations to easily scale their AI capabilities with confidence.

With support for 2, 4, 6, or 8 NVIDIA GPUs—including the NVIDIA RTX Pro 6000 Blackwell, H100 NVL, H200 NVL, L40S, and also supports AMD Instinct MI210 GPUs this system offers unparalleled flexibility to meet the diverse needs of enterprises. Leveraging the sophistication of the MGX modular reference design, this platform is also future-ready, with next-generation NVIDIA GPUs expected to seamlessly integrate as they become available.

As part of Cisco AI PODs, the UCS C845A M8 is designed to accelerate workloads such as large-scale deep learning, Large Language Model (LLM) training, model optimization, and AI inference. It supports hybrid AI workflows across cloud and edge environments, making it the perfect solution for enterprises working on cutting-edge applications such as AI agents, conversational AI, intelligent search, and virtual desktops. Enhanced by 5th Gen AMD EPYC “Turin” CPUs and NVIDIA BlueField-3 DPUs, this server eliminates performance bottlenecks, ensuring optimal CPU and GPU utilization for data-intensive workloads.

With seamless integration into Cisco Intersight^®, customers can manage their entire infrastructure—including compute, storage, and networking—through a unified interface. The Cisco UCS C845A M8, now part of Cisco AI PODs, is the ideal platform for organizations seeking to scale their AI initiatives with confidence and efficiency.

What use cases does the Cisco UCS C845A M8 address?

The Cisco UCS C845A M8, a highly scalable and customizable server integrated into Cisco AI PODs, is engineered to drive a multitude of AI workloads. Its flexible GPU configurations enable it to address the most demanding AI challenges, including large deep learning, Large Language Model (LLM) training, model fine-tuning, large model inferencing, and Retrieval-Augmented Generation (RAG).

The platform’s versatility is further enhanced by its support for various GPUs, each optimized for specific market needs:

NVIDIA H100 NVL:

●     Large-scale High-Performance Computing (HPC) and AI workloads

●     Advanced AI research and high-performance computing

●     Generative AI inference for large language models

●     High-performance AI training

NVIDIA H200 NVL:

●     High-performance LLM inference

●     Generative AI training and fine-tuning

NVIDIA RTX Pro 6000 Blackwell:

●     Agentic and physical AI: powering autonomous systems, smart factories, and robotics for real-time decision-making

●     Advanced scientific computing and rendering: accelerating complex simulations, medical imaging, and engineering analysis across hybrid environments

●     High-fidelity 3D graphics and video: driving content creation, post-production, and immersive VR/AR experiences

●     Hybrid AI/ML workflows: enabling seamless training, inferencing, and AI-assisted graphics across on-premises and cloud

●     Edge-to-core AI applications: supporting real-time AI at the edge with centralized management and cloud integration

AMD Instinct MI210:

●     High-Performance Computing (HPC): accelerating scientific research, simulations, and complex modeling

●     Energy-efficient AI/ML workloads: supporting deep learning training and inferencing with a focus on power efficiency

●     Large-scale data analytics: speeding up data processing and analytics for enterprise applications

●     Hybrid AI inference: providing balanced compute and efficiency for inferencing tasks in diverse environments

●     Specialized simulation workloads: enhancing performance for engineering, manufacturing, and bioinformatics simulations

NVIDIA L40S:

●     Generative AI foundation model fine-tuning

●     Deployment of intelligent chatbots and search tools

●     Language processing and conversational AI

●     Graphics, rendering, and NVIDIA Omniverse applications

●     Virtual desktop infrastructure