Cisco UCS-CPU-A9374F EPYC 9374F 3.85GHz 32-Core Gen-4 Processor
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Product Overview
Key Details
- Product Type: Server Processor
- Manufacturer: Advanced Micro Devices Inc
- Part Number: UCS-CPU-A9374F
- Model Number: 9354p
Core Specifications
- Core Count: 32 Cores
- Base Clock Speed: 3.25 GHz
- Max Boost Clock: Up to 3.8 GHz
Cache Memory & Performance
Cache Information
- L3 Cache: 256 MB
Memory Configuration
- Memory Type: DDR5
- Memory Channels: 12
- Maximum Memory Speed: Up to 4800 MHz
- Socket Memory Bandwidth: 460.8 GB/s
Power & Compatibility
- Max Thermal Design Power (TDP): 300W
- Compatible Socket: SP5
Cisco UCS-CPU-A9374F Epyc 9374F 32-Core Processor Overview
The Cisco UCS-CPU-A9374F is a high-performance processor designed to meet the demanding requirements of data centers, cloud computing, and enterprise workloads. Powered by AMD's Epyc 9374F architecture, this processor delivers exceptional performance and efficiency with its 32 cores and 3.85GHz base clock speed. With 256MB of L3 cache and a 320-watt TDP, it provides the scalability and power necessary for modern data centers and compute-heavy applications.
Key Features of Cisco UCS-CPU-A9374F
The Cisco UCS-CPU-A9374F processor boasts several key features that make it suitable for high-performance computing environments:
- 32 Cores: With 32 cores, the processor is designed for multi-threaded applications, ensuring that the server can handle a variety of tasks simultaneously without performance degradation.
- 3.85GHz Clock Speed: The processor’s 3.85GHz base clock speed, combined with its multi-core architecture, provides an excellent balance of speed and efficiency.
- 256MB L3 Cache: The large L3 cache helps reduce memory latency, which improves the overall performance of applications that rely heavily on memory access.
- 320W TDP: The processor's thermal design power (TDP) of 320 watts ensures that it is optimized for power efficiency without sacrificing performance.
- Gen-4 PCIe Support: With support for PCIe Gen-4, the processor can achieve higher data transfer rates, which is crucial for high-performance storage, networking, and GPU applications.
Compatibility with Cisco UCS Servers
The Cisco UCS-CPU-A9374F is part of the Cisco Unified Computing System (UCS), a versatile and scalable infrastructure solution. This processor is compatible with Cisco UCS servers, ensuring seamless integration and enhanced overall performance. The UCS platform is known for its unified management capabilities, which simplifies server deployment and maintenance tasks, ensuring high uptime and efficiency in mission-critical environments.
Supported Cisco UCS Platforms
The processor is ideal for deployment in several Cisco UCS platforms, including but not limited to:
- Cisco UCS C-Series Rack Servers: The UCS C-Series offers a range of rack servers that are capable of handling the most demanding workloads, making them an ideal platform for the Cisco UCS-CPU-A9374F processor.
- Cisco UCS B-Series Blade Servers: Blade servers provide a modular and highly scalable architecture, offering an excellent foundation for the Cisco UCS-CPU-A9374F processor in large-scale data center deployments.
- Cisco UCS X-Series Modular Systems: These systems provide high-density compute and are built to handle a wide range of workloads with the help of the Cisco UCS-CPU-A9374F.
Performance and Scalability
At the core of the Cisco UCS-CPU-A9374F processor is the AMD Epyc 9374F architecture, which offers outstanding parallel computing power and scalability. The 32 cores allow multiple applications to run simultaneously with minimal interference, which is particularly useful for virtualized environments, high-performance computing (HPC), and machine learning applications.
Multi-Core Performance
With 32 cores, the processor excels in environments that require parallel processing. Whether for virtualization, cloud workloads, or analytics, the Cisco UCS-CPU-A9374F processor ensures that applications scale effectively across multiple threads, improving throughput and responsiveness. The high core count reduces the need for additional processors, which in turn reduces power consumption and physical space requirements.
Advanced Cache Architecture
Featuring a 256MB L3 cache, the Cisco UCS-CPU-A9374F processor significantly reduces the time spent accessing data stored in main memory. This is particularly beneficial for applications that rely heavily on in-memory databases or frequently accessed data. The large cache size minimizes bottlenecks and ensures that the processor remains highly efficient even under heavy load.
Benefits of Cache for Data-Intensive Applications
For applications such as big data analytics, artificial intelligence (AI), and machine learning (ML), the Cisco UCS-CPU-A9374F's large cache enables faster data processing, which speeds up decision-making and results in quicker analysis times. Reducing the time spent accessing data stored in memory can directly translate to more efficient resource utilization and better overall system performance.
Energy Efficiency and Cooling
The Cisco UCS-CPU-A9374F is designed with energy efficiency in mind. With a thermal design power (TDP) of 320 watts, this processor strikes an excellent balance between power consumption and performance. It allows IT administrators to scale performance in a way that minimizes the need for excessive power and cooling, which can be costly and cumbersome in large-scale data center deployments.
Power Optimization Features
In addition to the base 320W TDP, the Cisco UCS-CPU-A9374F processor features various power optimization features that adjust the processor's frequency and voltage based on workload demands. These features help ensure that the processor remains efficient during less demanding tasks while still delivering maximum performance when required for heavy workloads.
Efficient Cooling Solutions
As part of Cisco’s energy-efficient design, the processor is compatible with advanced cooling systems in UCS servers. These systems use advanced airflow technologies to maintain optimal temperatures without excessive noise or power usage. Proper cooling is essential to maximize the lifespan of the processor and maintain consistent performance across long periods of use.
Use Cases for the Cisco UCS-CPU-A9374F
The Cisco UCS-CPU-A9374F processor is well-suited for a variety of demanding enterprise and cloud computing use cases, including but not limited to:
Virtualization and Cloud Computing
The high core count and efficient memory management of the Cisco UCS-CPU-A9374F processor make it ideal for virtualized environments. It can handle multiple virtual machines (VMs) simultaneously, reducing the need for multiple physical servers and lowering infrastructure costs. This makes it a perfect fit for cloud service providers and enterprises looking to build scalable private clouds.
High-Performance Computing (HPC)
The processor’s multi-core architecture and high cache capacity are perfect for high-performance computing applications, such as scientific simulations, financial modeling, and complex data analysis. Its ability to handle massive workloads without compromising performance makes it suitable for industries requiring extreme processing power, such as healthcare, engineering, and research.
Artificial Intelligence and Machine Learning
The Cisco UCS-CPU-A9374F processor, with its large cache and multi-threaded capabilities, is also well-suited for AI and ML workloads. Machine learning models require substantial compute resources for training, and the high core count enables the parallel processing of vast datasets. The processor ensures that these intensive tasks are completed efficiently, making it an excellent choice for data scientists and researchers working with AI.
Database Management
With its substantial L3 cache and powerful processing cores, the Cisco UCS-CPU-A9374F processor is well-suited for running large-scale databases. For enterprise-level applications such as customer relationship management (CRM) or enterprise resource planning (ERP), the processor can handle the demanding database queries and transaction processing that modern businesses rely on.