For SIE, they represent entry-level processors that allow researchers to start basic tasks and rack solutions, and can even get started with GPU computing.
The AMD EPYC™ 4004 Series Processors features configurations with up to 16 cores and 32 threads, making it a formidable choice for users requiring robust multitasking performance at a low price.
With an advanced architecture and features optimized for HPC environments, these processors seek to accelerate the time of research projects and provide unprecedented performance in complex simulations, modeling and data analysis.
The Keys of the AMD EPYC™ 4004 Series Processors
Scalable Performance in Scientific Applications
Energy Efficiency and Reduced Operating Costs
Optimizing for Parallel Workloads
Scalable Performance in Scientific Applications
The AMD EPYC™ 4004 Series Processor are designed to deliver scalable performance for scientific applications, enabling researchers to run more detailed and complex simulations in less time.
This is particularly useful in fields such as astrophysics, bioinformatics and artificial intelligence, where the ability to process large volumes of data quickly can accelerate projects.
Energy Efficiency and Reduced Operating Costs
Thanks to their 7nm manufacturing process and the energy efficiency improvements of the Zen 4 architecture, the 4004 Series processors offer superior performance per watt compared to other processors.
This translates into lower operating costs and a reduced carbon footprint, crucial aspects for data centers and laboratories seeking to balance performance with sustainability.
Optimizing for Parallel Workloads
The ability to handle multi-core and multi-thread configurations enables the 4004 Series processors to maximize efficiency in parallel workloads, a critical requirement in HPC environments.
The AMD EPYC™ 4004 Series Processors represents a significant advancement in the world of high-performance computing, offering an ideal combination of performance, efficiency and scalability.
With their focus on optimizing performance in scientific and HPC applications, these processors are an excellent choice for researchers looking to maximize the performance of their simulations and analyses without compromising energy efficiency.
This series not only meets today’s HPC demands, but also prepares researchers to meet the computational challenges of the future.
