Do you need a density-optimized, scalable system to meet the changing demands of your digital transformation journey? The HPE Apollo 2000 Gen10 Plus System is a shared infrastructure chassis with flexible support for up to 4 ProLiant XL225n Gen10+ servers (AMD) or up to 4 ProLiant XL220n Gen10+ servers (Intel®) or 2 XL290n Gen10+ servers (Intel), helping you increase your rack space density. Server nodes can be serviced without impacting operation of other nodes in the same chassis for increased server up-time. It delivers the flexibility to tailor the system to the precise needs of your demanding high-performance computing (HPC) workloads with the right compute, flexible I/O, and storage options. The system can be deployed with a single server, leaving room to scale as customer's needs grow, bringing the power of supercomputing to data centers of any size. It is ideal for HPC applications in industry verticals like manufacturing, oil and gas, life sciences, and financial services.
Do you need a powerful solution to meet today's supercomputing challenges?
HPE Cray supercomputers enable you to tackle infrastructure challenges that require the fusion of modeling and simulation workloads with analytics, AI, and the Internet of Things (IoT) to create a single business-critical workflow. Today's high-performance computing systems must be able to handle these massive and converged workloads, leading to a supercomputing sea-change.
With the imperative to navigate increasingly diverse and complex workloads, the next generation of supercomputers will be differentiated by exascale performance, data-centric workloads, and diversification of processor architectures.
HPE Cray supercomputers deliver application HPC and AI performance at scale, provide a flexible solution for tens to hundreds to thousands of nodes, and deliver consistent, predictable, and reliable performance, facilitating high productivity on large-scale workflows.
Are your most demanding compute jobs slowed by performance bottlenecks? Workloads in financial services, life sciences, manufacturing, and artificial intelligence (AI)/machine learning (ML) need a modern data platform that eliminates those performance barriers. HPE Solutions for Weka is a scalable data platform that is ideal for performance-intensive workloads. The WEKA Data Platform is built on WekaFS, a data-efficient, flash-native, POSIX file system that delivers the high IOPS and low-latency throughput needed for demanding compute requirements. The platform provides policy-based tiering, so data can span between NVMe flash to object storage in a single namespace for easy management and cost-effective economics. The same software is available in the cloud with integrated data mobility. For performance-intensive workloads the WEKA Data Platform employs an innovative storage architecture to provide performance at exabyte scale to solve today’s biggest data-intensive problems.
Does your enterprise need to simplify management, reduce costs, and improve reliability and performance for high-performance computing (HPC) and AI workloads?
Built for the exascale era, the HPE Apollo 6500 Gen10 Plus System accelerates performance with NVIDIA® HGX A100 Tensor Core GPUs and AMD Instinct™ MI100 with Infinity Fabric™ accelerators to take on some of the most complex HPC and AI workloads. This purpose-built platform provides enhanced performance with premier graphics processing units (GPU), fast GPU interconnect, high-bandwidth fabric, and configurable GPU topology, providing rock-solid reliability, availability, and serviceability (RAS). Configure with single or dual processor options for a better balance of processor cores, memory, and I/O. Improve system flexibility with support for 4, 8, 10, or 16 GPUs and a broad selection of operating systems and options, all within a customized design to reduce costs, improve reliability, and provide leading serviceability.
Are business insights and innovation slowed by restricted access to data? HPE Ezmeral Data Fabric securely works around data silos to aggregate different data types and formats into a single data backbone that accelerates analytics and AI without complex ETL processes or copying of data. Customers report faster data management, building of models 75% faster1 and the ability to handle more types of data and modeling algorithms than ever before.
Layer on open source tools and frameworks from the certified ecosystem to process data at its point of creation across hybrid, edge, and multicloud environments.
Empower data teams to search and pinpoint the exact data with metadata and data intelligence from BigID. Truncate data discovery from days/weeks to minutes, identify unprotected sites, then apply remediation policies, encrypt or move data. Ensure that data is being accessed and used to organizational policies.
Do you need a versatile server with built-in security and flexibility that addresses key applications such as Machine Learning or Deep Learning and Big Data Analytics?
Building on HPE ProLiant as the intelligent foundation for hybrid cloud, the HPE ProLiant DL385 Gen10 Plus v2 server offers the 3rd Generation AMD EPYC™ Processors, delivering more performance compared to the prior generation. With up to 128 cores (per 2-socket configuration), 32 DIMMs for memory up to 3200 MHz, the HPE ProLiant DL385 Gen10 Plus v2 server delivers low cost virtual machines (VMs) with increased security. Equipped with PCIe Gen4 capabilities, the HPE ProLiant DL385 Gen10 Plus v2 server offers improved data transfer rates and higher networking speeds. Combined with supportability for graphic accelerators, a more advanced storage RAID solution and storage density, the HPE ProLiant DL385 Gen10 Plus v2 server is the ideal choice for ML/DL and Big Data Analytics.
Is your enterprise class storage holding you back because you are tied down administering, tuning, and supporting infrastructure? Are you looking to shift from managing disparate clouds to a cloud everywhere experience with the same agility, simplicity, and cloud consumption for every application?
HPE Alletra is a edge-to-core portfolio designed to deliver the cloud experience wherever data lives. For mission-critical workloads, HPE Alletra 9000 delivers extreme latency sensitivity and reliability. It enables IT to shift from owning and maintaining data infrastructure to simply accessing and utilizing it on-demand and as-a-service. Built on a unique, massively parallel, multi-node, and all-active platform, HPE Alletra 9000 consolidates traditional and next-generation mission-critical applications at scale with predictable performance and ultra-low latency, backed by a 100% availability guarantee.1
Is your enterprise class storage holding you back because you are tied down administering, tuning, and supporting infrastructure? Are you looking to shift to a cloud everywhere experience with the same agility, simplicity, and cloud consumption for every application?
HPE Alletra powers your data from edge-to-core with the cloud experience for all your apps. For business-critical workloads, HPE Alletra 6000 delivers fast, consistent performance and industry leading data efficiency. It enables IT to shift from owning and maintaining data infrastructure to simply accessing and utilizing it on-demand, as-a-service. Eliminate performance and efficiency trade-offs with no knobs or configurations to adjust and always-on data services. Get resilient storage with intelligence and a no single point of failure platform that together deliver 6x9s1 availability guaranteed. Deliver on recovery SLAs with fast, integrated app aware backup and recovery, on-premises and in the cloud.
The HPE Ezmeral Unified Analytics solution modernizes legacy data and applications to optimize data-intensive workloads from edge to cloud to deliver the scale and elasticity required for advanced analytics.
Organizations in every industry are looking to leverage AI and ML to harness the power of their data and deliver business innovation through data science. But even when they achieve some measure of success with machine learning pilot programs, many organizations face challenges when they seek to scale these programs to production: security concerns, legacy hardware, siloed data and workflows, inefficient processes, and daunting costs.
To deliver the value of ML and data science to your enterprise, the HPE GreenLake platform delivers an enterprise-grade ML cloud service that enables developers and data scientists to rapidly build, train, and deploy ML models—from pilot to production, at any scale. This solution comprises an optimized hardware stack and is powered by HPE Ezmeral ML Ops. It provides data scientists with self-service access to a sandbox environment for prototyping and testing, to eliminate IT provisioning delays, ensure repeatability, and accelerate time-to-value.
* Prices may vary based on local reseller.
