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 hpe apollo 6500


Meeting AI/ML Compute Needs with the HPE Apollo 6500 Gen10 Plus

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Companies across most verticals, including manufacturing, financial services, retail and the life sciences, are in need of high-octane compute power. They need solutions that can analyze massive amounts of data and compute like supercomputers do. They need workloads that use high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) to deliver real-time insights that help their businesses operate more efficiently, respond to changes faster, and innovate. Hewlett Packard Enterprise (HPE) offers advanced solutions that provide industry-leading performance and flexibility with enterprise reliability. The HPE Apollo 6500 Gen10 Plus Systems deliver exceptional performance, fast insights, and advanced security to fuel better business outcomes.


Fueling AI innovation with a new breed of accelerated computing

#artificialintelligence

The new HPE Apollo 6500 Gen10 is a groundbreaking server designed to tackle the most compute-intensive HPC and deep learning workloads. With superior speed, density, and performance, HPE is reinventing what it means to compute. A major transformation is happening now, as technological advancements and escalating volumes of diverse data drive change across all industries. Cutting-edge innovations are fueling digital transformation on a global scale, and organizations are leveraging faster, more powerful machines to operate more intelligently and effectively than ever. Today, HPE announced the new HPE Apollo 6500 Gen10 server, a groundbreaking platform designed to tackle the most compute-intensive high performance computing (HPC) and deep learning workloads.


Giving purpose to AI: Deep reinforcement learning

#artificialintelligence

Yet many of the applications we've seen are single-event driven. Some examples: Is the image shown that of a cat? Given a word, translate it into English. Execute a given command, such as "Turn on the Light." Deep learning techniques have been responsible for many AI applications like these, but fundamentally, deep learning is task-oriented.


Giving purpose to AI: Deep reinforcement learning

#artificialintelligence

The field of artificial intelligence has grown by leaps and bounds in recent years, already providing new capabilities that we see used in real life. Smart phones can recognize our faces to identify us as their proper owners. We can now translate street signs in a different language using an app. And we are starting to have computers that can respond to voice commands. The future seems bright, with talk of autonomous vehicles, robots, and advances in many different fields--from medical diagnostics to automated factories.


Seamlessly scaling HPC and AI initiatives with HPE leading-edge technology

#artificialintelligence

Accelerate your HPC and AI workloads with new products, advanced technologies, and services from HPE. A growing number of commercial businesses are implementing HPC solutions to derive actionable business insights, to run higher performance applications and to gain a competitive advantage. In fact, according to Hyperion Research, the HPC market exceeded expectations with 6.8% growth in 2018 with continued growth expected through 2023.1 Complexities abound as HPC becomes more pervasive across industries and markets, especially as you adopt, scale and optimize HPC and AI workloads. HPE is in lockstep with you along your AI journey. We help you get started with your AI transformation and scale more quickly, saving time and resources.


AI insights: Get ready to accelerate time to value

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Learn how HPE, NVIDIA, WekaIO, and Mellanox have designed a deep learning architecture that accelerates AI insights. Deep learning (DL) architectures offer organizations a way to accelerate AI insights, enabling them to process hundreds of millions of data points and generate AI-based analytics--without slowing down their systems. At HPE, we're offering our technology and expertise to data scientists, solution builders, and IT personnel who recognize the need to successfully implement AI projects. We understand the unique needs of organizations that might hesitate to build the complex IT infrastructure needed to deliver AI insights--which is why we've designed solutions that make it easy for them. To build a storage solution that could accelerate AI training and inferencing, we've collaborated with our partners to develop a scalable, shared storage solution that runs on a neural network.


A brighter future for Artificial Intelligence for business with HPE and Bright Computing

#artificialintelligence

Ready for AI? Discover our purpose-built integrated hardware and software solution based on Apollo 6500 Gen10 systems with Bright Cluster Manager for Data Science. You've decided that AI is the future, and you want to embrace it to stay ahead of your competition. You've got plenty of data to analyze and a team of data scientists ready to go, but they require an environment in which to ply their craft. You need hardware and software that work well together, and a way to quickly adapt to the environment and keep up with the rapidly evolving world of machine learning, deep learning and AI. That's why HPE and Bright Computing have joined forces to bring you a purpose-built, integrated hardware and software solution you can put to work in no time.


HPE launches AI and deep learning initiatives - Inside SAP

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Hewlett Packard Enterprise (HPE) has introduced new initiatives to help enterprises ramp up, optimise and scale the use of artificial intelligence (AI) to improve their demand forecasting and operational efficiency, while increasing sales. "Global tech giants are investing heavily in AI, but the majority of enterprises are struggling both with finding viable AI use cases and with building technology environments that support their AI workloads," said Beena Ammanath, global vice president, Artificial Intelligence, HPE Pointnext. "As a result, the gap between leaders and laggards is widening," she said. HPE Digital Prescriptive Maintenance Services from HPE Pointnext leverage AI to predict when industrial equipment will fail, then suggest and automate the correct action to fix the problem before harm is done, increasing the productivity of the industrial equipment. The solution uses enterprise data including real-time and batch data from Internet of Things (IoT) devices, data centres, and the cloud.


Fueling AI With A New Breed of Accelerated Computing

#artificialintelligence

A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. Cutting-edge innovations are fueling digital transformation on a global scale, and organizations are leveraging faster, more powerful machines to operate more intelligently and effectively than ever. Recently, Hewlett Packard Enterprise (HPE) has announced the new HPE Apollo 6500 Gen10 server, a groundbreaking platform designed to tackle the most compute-intensive high performance computing (HPC) and deep learning workloads. Deep learning – an exciting development in artificial intelligence (AI) – enables machines to solve highly complex problems quickly by autonomously analyzing and learning from enormous datasets. Backed by the robust HPC capabilities of the HPE Apollo 6500 Gen10, organizations can uncover deep insight at lightning speeds and turbocharge data analytics to optimize decision-making, utilize predictive analytics, enhance business processes, resolve hidden problems in data, and much more.


HPE Launches Vertical AI Solutions, Dramatically Accelerates Deep Learning Training HPE Newsroom

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Hewlett Packard Enterprise (HPE) today announced new offerings to help customers ramp up, optimize and scale artificial intelligence (AI) usage across business functions to drive outcomes such as better demand forecasting, improved operational efficiency and increased sales. PricewaterhouseCoopers predicts the global GDP to grow 14 percent – the equivalent of $15.7 trillion – by 2030 as a result of AI, with increased labor productivity and consumer demand being the most impactful business outcomes.(2) However, while AI holds great promise, current adoption rates are low. According to Gartner's 2018 CIO Agenda Survey, four percent of CIOs globally have implemented AI, while a further 46 percent have developed plans to do so.(3) "Global tech giants are investing heavily in AI, but the majority of enterprises are struggling both with finding viable AI use cases and with building technology environments that support their AI workloads. As a result, the gap between leaders and laggards is widening," said Beena Ammanath, Global Vice President, Artificial Intelligence, HPE Pointnext.