HPE Workload Optimized Real Time Insights for Deep Learning

Hewlett Packard Enterprise new workload optimized compute platforms and solutions help customers accelerate innovation and time-to-value with deep learning systems, high-performance computing (HPC) and financial services industry (FSI) applications. Organizations running complex HPC and big data workloads, such as modeling, simulation, high frequency trading and deep learning are now able to modernize their data centers with infrastructure solutions that are purpose-built and optimized to analyze, massive volumes of data with speed, scale and efficiency.

"As high performance and webscale applications become mainstream, HPE's continued focus on this market is yielding positive results for our customers," said Bill Mannel, vice president and general manager, HPC, Big Data and IoT Servers, HPE. "Already, more than a third of the HPC market is using HPE compute platforms2 to enhance scientific and business innovation and gain a competitive edge. Today's announcement reinforces our commitment to delivering new infrastructure solutions that satisfy our customers' insatiable need for massive compute power to fuel new applications and unlock the value of their data."

Deep learning algorithms are exploding in the industry as organizations are under competitive pressure to support the increasing sophistication of simulation and machine learning models. With up to eight high performance NVIDIA GPU cards designed for maximum transfer bandwidth, the HPE Apollo 6500 System is purpose-built for deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.

When used with comprehensive GPU computing platforms like the NVIDIA Tesla Accelerated Computing Platform, the HPE Apollo 6500 provides maximum GPU processing capacity across a broad ecosystem of tools. The HPE Apollo 6500 is designed to support deep learning computing platforms and application programming interface models, such as Caffe, CUDA, Torch, Theano, Tensorflow, the NVIDIA Deep Learning SDK, and the newly announced Cognitive Computing Toolkit from HPE.

Most HPC-specific storage solutions on the market today are closed appliances, which limits flexibility for customers, drawing IT organizations into vendor lock-in. The HPE Apollo 4520 System is designed to give customers the opportunity to implement reliable open and supported parallel file system architectures to address their HPC storage needs.

The HPE Apollo 4520, a dual-node system with high performance fabrics and drive failover, is specifically designed to support Lustre implementations. In turn, customers who are looking to accelerate innovation have the choice to implement either an HPE supported Lustre solution, based on the Intel® Enterprise Edition for Lustre software or Open Source Lustre with community support. Through HPE's contributions to the Lustre community as well as tight integration with Open ZFS and Intel Enterprise Edition for Lustre software, the Apollo 4520 solution delivers industry-leading resiliency and flexibility to meet customers' most demanding requirements.

To help financial services customers boost business productivity, gain competitive differentiation in high-frequency trading performance, and manage increasing regulatory compliance needs, HPE is introducing a number of new industry solutions:

HPE Moonshot Trader Workstation Solution: Enhances financial trader experience and productivity using HPE Moonshot and Citrix solutions. This enables trading companies to deploy physical hosted desktop environments, providing a secure workstation experience with accelerated graphics and high compute performance to run online trading applications. HPE Trade and Match Server Solution: Leverages the density-optimized HPE Apollo 2000 server with frequency optimized single socket processors to consistently deliver up to 28 percent performance improvement3 on trade processing and minimizing system latency for increased competitive differentiation with lower total cost of ownership (TCO).

HPE Risk Compliant Archive Solution: Enables organizations to keep up with the increasing number of complex, regulatory archiving compliance requirements efficiently and securely, without the need for disruptive and time-consuming data migrations. This solution, composed of iTernity iCAS software verified for data archiving standards and Scality RING file and object storage with HPE Apollo 4000 servers, provides a long-term, robust, and cost-effective platform for implementing compliant data archives combined with an ability to support multiple media formats, applications, and locations.