Yazılım

Do you need to streamline the AI/ML deployment process? Do you need to support a diverse AI frameworks and scalable infrastructure in a cloud/hybrid environment that often requires customized data protection?
The HPE Machine Learning Inference Software features user-friendly tools to update, monitor, and deploy models that will help you get value from AI/ML initiatives faster. Role-Based Access Controls (RBAC) and endpoint security provide additional protection for ML resources. Dramatically improve team efficiency by using consistent tooling and pre-trained models to focus more on model development and less on the complexities of getting models into production. By offering a product that handles the intricacies of deployment, routing, and real-time monitoring, HPE Machine Learning Inference Software provides the agility needed to ship ML models quickly, iterate on them based on feedback from the real-world, and maintain high-performance standards.

Do you need a scalable and reliable network architecture created at the mobile edge? Athonet User Plane delivers a low footprint, independently scalable and agile high performance data plane in difficult deployment conditions and critical environments. This solution offers a data plane functionality for more flexible support in edge computing interoperating with a 3rd party Control Plane. Easily leverage the 5G network architecture to perform packet routing and processing functions in the UPF and enable enterprise mobile edge computing with MEC and Private 5G/LTE solutions. Utilize Athonet User Plane create core network instances at the mobile edge to enable enterprise computing with MEC and Private 5G/LTE solutions.

Are your model development and MLOps teams spending more time setting up and managing ML infrastructure, rather than building and deploying models to production?

HPE Machine Learning Development Environment as a managed service is a fully managed MLOps platform that allows model developers and researchers to focus on building better models faster by reducing complexity and removing the need to write boilerplate code associated with managing ML infrastructure. It easily integrates with ML frameworks and tools, and supports customers bringing their own AWS or GCP cloud environments.

Our platform also makes it easy for IT and MLOps teams to setup and share AI infrastructure to improve collaboration and productivity for ML teams, while reducing costs.

Train models faster, build more accurate models, efficiently manage and share AI infrastructure, and track and reproduce experiments easily with HPE Machine Learning Development Environment as a managed service.

Kenar cihazlarınızı, veri merkezlerinde alıştığınız şekilde yönetmekte zorluk mu çekiyorsunuz? HPE Edgeline Infrastructure Manager Yazılımı (EIM), herhangi bir konumda HPE Edgeline sistemlerini dağıtmayı ve yönetmeyi kolaylaştırır. Yöneticilerin, Edgeline sistemlerinin yönetimini kablolu ve kablosuz arabirimler yerine (WiFi, LTE ve benzeri) tek bir uygulamada toplamasını sağlar. HPE Edgeline Infrastructure Manager, hem rutin hem kritik ölçümleri, okuması kolay grafik arabirimden kolayca iletir. Ürün yazılımını, seçenek ayarlarını ve ağ parametrelerini büyük ölçekte keşfetmeyi, güncellemeyi ve bunlara kaynak sağlamayı destekler. Standart tabanlı API ile tasarlanan HPE Edgeline Infrastructure Manager Yazılımı, sunucularını ve Edge sistemlerini veri merkezi ortamının hem içinden hem dışından yönetmeye ihtiyaç duyan yöneticiler için ideal, sektör lideri bir Edgeline aracıdır.

Is your HPE Slingshot interconnected system delivering high performance and efficiency? HPE Cray Supercomputing Fabric AIOps Software fuses large scale telemetry data ingest with job and topology information to power analytics that deliver insights into interconnect behavior and possible issues. Understanding how a large complex interconnected computing system behaves is a daunting task. The unique telemetry from HPE Slingshot’s premier congestion management capabilities and HPE Cray Supercomputing Fabric AIOps Software provides insights which can be used to increase system, workload and application performance, and improve return on investment while reducing the burden and costs of operating a complex system. By Informing system administrators of congestion hot-spots, anomalies, and patterns in the interconnect traffic, HPE Cray Supercomputing Fabric AIOps empowers them to more rapidly detect potential issues, unveil relationships, take preventive action, and improve operations.

Do you need to scale your machine learning (ML) and data pipelines when processing large amounts of structured and unstructured data?

HPE Machine Learning Data Management Software delivers a flexible data layer platform that automates complex ML and data pipelines, while providing data versioning and lineage for reproducibility. Increase the performance of your pipelines with autoscaling and parallel processing built on Kubernetes for resource orchestration. Standard object stores, deduplication, and pipelines are automatically triggered when data is modified, thus saving your engineers time and resources. This platform features immutable data lineage with data versioning of any data type to provide traceable results, allowing any outcome to be reproduced.

Tired of juggling disparate tools and struggling with your data across hybrid environment?

HPE Ezmeral Unified Analytics Software breaks down these barriers, providing a unified platform for data engineers, analysts, and even ML model architects and their end users. Built with best-in-class open-source tools, HPE Ezmeral Unified Analytics (UA) Software is infrastructure agnostic, empowering you to deploy it wherever your data resides.

Modern organizations leverage hybrid architectures for agility and flexibility. However, this can create disparate data sources, hindering your ability to derive insights. HPE Ezmeral Data Fabric Software comes to the rescue by seamlessly stitching together your data across on-premises and cloud environments. Once unified, HPE Ezmeral UA Software allows you to expedite AI deployment, accelerating your journey toward data-driven success.

Is your channel partner or telco enterprise struggling to manage multiple mobile private networks? Athonet Dashboard is a central private network management platform that features a multi-tenant provisioning and monitoring system which provides segmented resources and role-based access for enhanced security. Allow system admins and operators to handle multiple channel partners and customers with user-specific roles, access, and resources. Simplify operations with central provisioning (devices/USIMs), configuration, and monitoring with a single pane of glass. Utilize Athonet Dashboard to manage multiple mobile private networks for efficient provisioning of devices, profiles, and associated quality of service (QoS) with KPI monitoring and analysis of traffic data in real-time.

Does your enterprise/vertical industry need to easily deploy and scale voice services over private mobile networks? Athonet IMS (IP Multimedia Subsystem) is a market proven, simple, intuitive, robust, compact, and comprehensive solution that unites the power of VoLTE and VoNR high-quality voice and video services to provide feature-packed private 4G EPC and 5G Core cellular networks. By enabling various types of multimedia services for end-users using common Internet-based protocols, Athonet IMS deploys a fully-local IMS to address the increasing demand in VoLTE and communications services. Developed for 3GPP standards and 5G-ready for VoNR, Athonet IMS can be integrated with a PBX and other SIP networks for voice, video, and SMS services as well as EPC (Evolved Packet Core) and 5G Core. Utilize multi-access, multi-service, multi-device, and multi-networks within a flexible IT context for simplified operation and adaptable maintenance.