HPE P66940-B21 AMD EPYC 2.0GHz 56 Core CPU, 256mb L3 Cache, Socket Sp3

Clock Speed

The HPE EPYC CPU boasts a clock speed of 2.0GHz, making it a powerful and efficient option for users in need of high-performance computing. The clock speed refers to the rate at which the processor can execute instructions per second. With a clock speed of 2.0GHz, the HPE EPYC CPU can handle complex tasks quickly and efficiently.

Improved Performance

A higher clock speed translates to improved performance, allowing users to run resource-intensive applications and processes with ease. The HPE EPYC CPU's clock speed of 2.0GHz ensures smooth multitasking, faster data processing, and reduced lag times.

Whether you're working on demanding tasks such as video editing or running virtual machines, the HPE EPYC CPU's clock speed ensures that your system can handle the workload without compromising on performance.

Efficient Workflows

For businesses relying on efficient workflows, the HPE EPYC CPU's clock speed plays a crucial role in accelerating productivity. With faster execution times, tasks are completed more quickly, allowing employees to move on to the next task or project without unnecessary delays.

Additionally, the 2.0GHz clock speed enables smooth real-time collaboration by reducing latency during video conferencing or file sharing. This ensures that team members can work seamlessly together, improving overall productivity and efficiency.

Optimized Gaming Experience

Gamers will also benefit from the HPE EPYC CPU's clock speed. With its 2.0GHz frequency, the CPU delivers smooth and responsive gameplay, minimizing lag and enhancing the overall gaming experience.

Whether you're into graphically intensive games or multiplayer online battles, the HPE EPYC CPU's clock speed ensures that you can enjoy high-quality visuals and fast-paced action without any performance bottlenecks.

Core Count

The HPE EPYC CPU stands out with its impressive 56 core count. The core count refers to the number of independent processing units within a CPU. With 56 cores, the HPE EPYC CPU offers exceptional parallel processing capabilities, making it an excellent choice for demanding workloads.

Enhanced Multitasking

A higher core count allows for efficient multitasking, enabling users to run multiple applications and processes simultaneously without experiencing significant performance degradation. The 56 cores of the HPE EPYC CPU ensure seamless multitasking, making it ideal for professionals who require a high level of productivity.

Tasks such as video rendering, 3D modeling, and data analysis can be completed more efficiently with the HPE EPYC CPU's 56 cores. This reduces the overall processing time, allowing users to focus on their work without being hindered by slow performance.

Improved Performance in Parallel Computing

The HPE EPYC CPU's 56 core count is especially advantageous for parallel computing tasks. Parallel computing involves dividing a complex problem into smaller tasks that can be solved simultaneously by multiple cores.

Industries such as scientific research, financial modeling, and artificial intelligence heavily rely on parallel computing. The HPE EPYC CPU's abundance of cores ensures faster execution of parallelized algorithms, leading to quicker results and more efficient simulations or calculations.

Server Optimization

In server environments, where multiple users access resources simultaneously, the HPE EPYC CPU's 56 cores provide excellent scalability and performance. It allows servers to handle a higher number of concurrent requests, delivering faster response times and improved user experiences.

With the ability to handle more cores, server administrators can allocate resources more effectively, ensuring that each user receives optimal processing power for their tasks. This results in better resource utilization and maximizes the overall efficiency of the server infrastructure.

Cache Size

The HPE EPYC CPU features a generous 256MB cache size, which plays a crucial role in optimizing performance and reducing latency. The cache is a small, high-speed memory that stores frequently accessed data, reducing the need to fetch it from slower main memory or storage devices.

Faster Data Access

A larger cache size allows the CPU to store more data closer to the processing cores, resulting in faster access times. With a cache size of 256MB, the HPE EPYC CPU can hold a significant amount of frequently accessed data, reducing the time required to retrieve it.

Applications that heavily rely on data access, such as databases or data analytics tools, benefit greatly from the HPE EPYC CPU's large cache size. It enables quicker retrieval of information, leading to faster query execution and improved overall performance.

Reduced Latency

Latency refers to the delay between requesting data and receiving a response. By storing frequently accessed data in its cache, the HPE EPYC CPU minimizes latency by reducing the need for time-consuming memory accesses.

Reduced latency is particularly crucial in real-time applications such as online gaming or financial trading, where every millisecond counts. The HPE EPYC CPU's 256MB cache size ensures that critical data is readily available, resulting in smoother and more responsive experiences.

Efficient Virtualization

In virtualized environments, where multiple virtual machines (VMs) share the same physical resources, the HPE EPYC CPU's cache size plays a vital role in optimizing performance. The cache allows VMs to store frequently accessed data, reducing the need to access shared resources and improving overall efficiency.

With a larger cache size, the HPE EPYC CPU can accommodate more data from different VMs, minimizing the impact of resource contention and improving the responsiveness of virtualized applications. This enhances the overall virtualization experience and allows for better utilization of server resources.

Cache Type

The HPE EPYC CPU utilizes L3 cache, a type of cache that is typically found in modern processors. The L3 cache is the last level of cache memory before accessing main memory or storage devices. It plays a crucial role in improving overall system performance through faster data access and reducing latency.

Fast Data Retrieval

The L3 cache in the HPE EPYC CPU allows for faster data retrieval by storing frequently accessed data closer to the processing cores. This reduces the time required to fetch data from main memory, resulting in improved overall system performance.

Applications that rely on frequent data access, such as web servers or databases, benefit greatly from the HPE EPYC CPU's L3 cache. It ensures that critical data is readily available, minimizing delays and improving response times.

Reduced Memory Latency

Memory latency refers to the delay between requesting data from main memory and receiving it. By utilizing L3 cache, the HPE EPYC CPU reduces memory latency by storing frequently accessed data closer to the processing cores.

Reduced memory latency is especially important for applications that require real-time responsiveness or handle large datasets. The HPE EPYC CPU's L3 cache helps minimize delays in accessing data, ensuring smooth and efficient operation even under heavy workloads.

Improved Gaming Performance

Gamers will also notice the benefits of the HPE EPYC CPU's L3 cache. With faster data access, the CPU ensures that game assets are loaded quickly, resulting in reduced loading times and smoother gameplay.

In online gaming, where split-second decisions can make a difference, the HPE EPYC CPU's L3 cache helps reduce latency and provides a more responsive gaming experience. Gamers can enjoy faster rendering of graphics and seamless gameplay without interruptions.

Socket Type

The HPE EPYC CPU is designed to fit into the Sp3 socket type. The socket type refers to the physical interface between the CPU and the motherboard. The Sp3 socket is specifically designed for high-performance server platforms, offering exceptional scalability and flexibility.

Scalability

The Sp3 socket type allows for exceptional scalability, making it an ideal choice for server environments that require processing power for demanding workloads. It supports multiple CPU configurations, enabling businesses to easily expand their server infrastructure as their needs grow.

With the HPE EPYC CPU's Sp3 socket type, server administrators can add more CPUs to their existing systems without requiring significant hardware changes. This ensures that businesses can scale their computing power seamlessly, accommodating increased workloads or user demands.

Flexible Server Configurations

The Sp3 socket type offers flexibility in server configurations by supporting a wide range of memory modules and PCIe expansion slots. This allows businesses to customize their server setups according to their specific requirements and optimize performance.

Whether you need to maximize memory capacity or add high-speed storage devices, the Sp3 socket type ensures compatibility with various hardware options. This flexibility enables businesses to tailor their servers to meet specific application needs, resulting in better overall performance and efficiency.

Reliable Server Infrastructure

The Sp3 socket type is known for its robustness and reliability, making it ideal for mission-critical applications and workloads. By utilizing a server platform that supports the Sp3 socket type and the HPE EPYC CPU, businesses can ensure a stable and resilient infrastructure.

Reliability is crucial in industries such as finance, healthcare, and e-commerce, where downtime or system failures can have severe consequences. The Sp3 socket type's proven track record ensures that businesses can rely on their server infrastructure for uninterrupted operation and data integrity.