AMD EPYC processors are known for their high performance, advanced features, and scalability, making them ideal for a wide range of server applications.
We recently released several new models of standard server packages of AMD EPYC CPUs and chassis as part of our INAP Bare Metal offering.
In this blog, we’ll cover processor specifications, opportunities for customizations, use cases, and businesses that can benefit.
2nd and 3rd Generation AMD EPYC
We’ve introduced two new 2nd generation AMD EPYC models into the INAP fleet:
|Single AMD EPYC 7302P
|Single AMD EPYC 7402P
Also, there are four new 3rd generation AMD EPYC models that include:
|Single AMD EPYC 7313P
|Single AMD EPYC 7443P
|Single AMD EPYC 7543P
|Single AMD EPYC 7643
These new chassis can support up to 10 NVMe drives installed, and the configurations have dual 10 Gbps Ethernet ports and can support from 128 GB to 2TB of RAM installed.
The chassis for the 7313P and 7443P can accept up to 10 SSD or NVMe drives for very high IOPS-intensive workloads. The standard chassis for the 7543P and 7643 models will accept 4 SSD or NVMe drives.
Custom Options for GPU Capabilities
Customized chassis can be ordered to include up to two NVIDIA graphic processing units (GPU). GPU options include NVIDIA A2, A10, A100, RTX A4000, and RTX A5000. This can make a useful solution for data analytics and for other high-performance computing (HPC) workloads
Increased Drive Bays
Most of these new chassis can be upgraded to accommodate up to ten NVMe or SSDs. Also, chassis options can accommodate up to twelve mechanical (e.g. SATA) drives.
Consult with the INAP Team for additional customized solutions, including more drive count, GPUs, and NVMe/SSDs to meet your unique requirements. Chat Now.
Use Cases for AMD EPYC Processors
Web Hosting and Web Applications:
For hosting multiple websites and web applications, EPYC processors offer the processing power and memory capacity to handle a large number of concurrent requests.
EPYC processors can power database servers handling transactions, data storage, and retrieval. Their high core counts and memory capacity are particularly useful for managing large-scale databases.
Big Data and Analytics:
Servers equipped with EPYC processors can handle large datasets and complex analytics tasks efficiently. This is crucial for applications like real-time data processing, machine learning, and artificial intelligence.
Virtual Desktop Infrastructure (VDI):
EPYC processors can efficiently handle VDI environments, enabling smooth operation of multiple virtual desktops and applications for users.
Rendering and Graphics Workloads:
Creative industries like media and entertainment often require powerful servers for rendering and graphics-intensive tasks. EPYC processors can accelerate these workloads, reducing rendering times.
Security and Encryption:
The EPYC processors’ robust security features, such as AMD Infinity Guard, are valuable for ensuring data protection and encryption for sensitive workloads.
AI and Machine Learning:
Servers using EPYC processors can handle AI and machine learning workloads, enabling faster model training and inference tasks.
Businesses that Can Benefit from AMD EPYC Processors
EPYC processors can support the demanding computational requirements of financial services, including risk analysis, algorithmic trading, and high-frequency trading.
Healthcare and Life Sciences:
Servers powered by EPYC processors are used in genomics research, medical imaging, and drug discovery, where significant computational power is required for data analysis and simulations.
Oil and Gas Exploration:
EPYC processors can process seismic data and perform complex simulations used in oil and gas exploration, improving efficiency and accuracy.
AMD EPYC processors are versatile and capable of handling a wide range of workloads, making them a compelling choice for modern data centers and server deployments. The INAP team will partner with you to determine the processor model and customizations needed to meet the exact requirements of your application and workload.