AMAX Launches AI and DL Optimized Server Platform at CVPR 2018
FREMONT, Calif., June 19, 2018 (Newswire.com) - AMAX, a leading manufacturer of high-performance servers for AI and Deep Learning development, announces the launch of the DL-E48A, a reconfigurable single/dual root high-density GPU platform designed for AI training and inference. AMAX will be showcasing the highly anticipated solution at CVPR 2018 (Booth #304), to be held at Salt Palace Convention Center in Salt Lake City, Utah, June 19-21, 2018.
The DL-E48A is a high-performance, high-density 8x GPU server platform with first-in-industry remote-configurable single and dual PCIe root complex architectures, enabling ease of hardware optimization for AI and DL training, inference, HPC compute, rendering and virtualization. The platform supports the latest generation of NVIDIA Tesla Volta V100 32GB HBM2 GPU, Mellanox EDR Infiniband and Intel Omnipath fabric to process largest datasets for the most demanding AI and DL applications. Utilizing Intel’s Scalable Processor Architecture, the system provides a 56 percent increase in memory bandwidth and a 54 percent bandwidth increase for communication between CPUs (UPI) compared to platforms featuring the previous Intel Processor generation. NVME storage options are available with the DL-E48A, removing storage bottlenecks for ultra-fast data performance.
Many AI organizations in the development phase are faced with deciding whether or when single root or dual root complex best suits their applications. With the DL-E48A, you have a system capable of both, providing companies the ability to test their applications against both architectures to derive best performance. The DL-E48A's versatility means being able to configure the root complex architecture on demand or even remotely via software, giving them a single platform that can be well-suited for a wide range of applications.
Dr. Rene Meyer, VP of Technology, AMAX
The DL-E48A’s software-configurable PCIe architecture allows IT organizations to remotely change the PCIe hardware topology between single and dual root complex architectures in order to optimize machine and cluster performance for specific workloads. Single root complex architectures are ideal for reducing GPU to GPU memory copy latency for improved performance of GPU-intensive DL workloads. Dual root complex architectures offer better performance for CPU-intensive applications and parallel computing tasks. The DL-E48A combines the benefits of both architectures into a single server to give organizations the ultimate versatility using a single platform.
“Many AI organizations in the development phase are faced with deciding whether or when single root or dual root complex best suits their applications,” said Dr. Rene Meyer, VP of technology, AMAX. “With the DL-E48A, you have a system capable of both, providing companies the ability to test their applications against both architectures to derive best performance. For organizations running multiple applications, the DL-E48A’s versatility means being able to configure the root complex architecture on demand or even remotely via software, giving them a single platform that can be well-suited for a wide range of applications.”
The DL-E48A is a platform of choice for AI development as well as large to hyperscale deployments, and is available for purchase as server units or designed into rackscale solutions and networked clusters.
To learn more about DL-E48A or schedule a demo at CVPR 2018, please contact sales@amax.com or visit www.amax.com.
About AMAX
AMAX is a global leader in award-winning application-tailored AI/Deep Learning, Cloud and Data Center high-performance computing solutions. AMAX solutions are designed to represent the intersection between high performance and best efficiency for today’s highly efficient data center. Founded in 1979 and headquartered in Silicon Valley (with additional locations in China and Ireland), AMAX is a full-service technology solutions provider specializing in innovative server-to-rack level solutions designed to meet today’s most rigorous computing challenges.
Source: AMAX
