Business Software for HPE Ezmeral

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

GitLab is a complete DevOps platform. With GitLab, you get a complete CI/CD toolchain out-of-the-box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered as a single application, fundamentally changing the way Development, Security, and Ops teams collaborate. GitLab helps teams accelerate software delivery from weeks to minutes, reduce development costs, and reduce the risk of application vulnerabilities while increasing developer productivity. Source code management enables coordination, sharing and collaboration across the entire software development team. Track and merge branches, audit changes and enable concurrent work, to accelerate software delivery. Review code, discuss changes, share knowledge, and identify defects in code among distributed teams via asynchronous review and commenting. Automate, track and report code reviews.

Bring data analysts, engineers, and scientists together. Enable self-service analytics and operationalize machine learning. Get results today and build for tomorrow. Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) or a customizable drag-and-drop visual interface at any step of the predictive dataflow prototyping process – from wrangling to analysis to modeling. Profile the data visually at every step of the analysis. Interactively explore and chart your data using 25+ built-in charts. Prepare, enrich, blend, and clean data using 80+ built-in functions. Leverage Machine Learning technologies (Scikit-Learn, MLlib, TensorFlow, Keras, etc.) in a visual UI. Build & optimize models in Python or R and integrate any external ML library through code APIs.

Veeam Agent for Microsoft Windows FREE is built on the same technology used in #1 Veeam Backup & Replication software. This FREE standalone agent delivers Windows backup and recovery for physical desktops and laptops running on-premises, in home offices or in the hands of mobile users — as well as for Windows computers running in the public cloud. Get image-based backups for your entire PC, volume-level backup, individual file-level backup or folder-level backup that’s built on proven Veeam technologies. With options for bare-metal restores, Instant VM Recovery®, direct restore to Microsoft Azure and AWS and file-level restores, users have many options for recovering their data. Enjoy the peace of mind that comes with reduced downtime, reduced risk of data loss and confidence in meeting or exceeding recovery point objectives (RPOs) every time.

Runecast is an enterprise CNAPP platform that saves your Security and Operations teams time and resources by enabling a proactive approach to ITOM, CSPM, and compliance. It automates vulnerability assessment, configuration drift management and continuous compliance – for VMware, Cloud and Containers. By proactively using our agentless scanning in real-time admins discover potential risks and remediation solutions before any issues can develop into a major outage. It provides continuous audits against vendor best practices, common security standards, and frameworks such as BSI IT-Grundschutz, CIS, Cyber Essentials, DISA STIG, DORA, Essential 8, GDPR, HIPAA, ISO 27001, KVKK, NIST, PCI DSS, TISAX, VMware Security Hardening Guidelines, and the CISA KEVs catalog. Detect and assess risks and be fully compliant across your hybrid cloud in minutes. Runecast has been recognized with Frost & Sullivan's 2023 European New Product Innovation Award in the CNAPP industry.

Enterprise search, observability, and security for the cloud. Quickly and easily find information, gain insights, and protect your technology investment whether you run on Amazon Web Services, Google Cloud, or Microsoft Azure. We handle the maintenance and upkeep, so you can focus on gaining the insights that help you run your business. Configuration and deployment are a breeze. Simple scaling, custom plugins, and architecture optimized for log and time series data are only a taste of what’s possible. Get the complete Elastic experience with features like machine learning, Canvas, APM, index lifecycle management, Elastic App Search, Elastic Workplace Search, and more — exclusively available here. Logging and metrics are just the start. Bring your diverse data together to address security, observability, and other critical use cases.

NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.

Unleash the power of the no-code platform for modern applications. Build, Provision, Run and Scale Cloud-Native Applications by leveraging your team's current capabilities. Unlock the potential of your applications, capture new revenue opportunities and exceed customer expectations by modernizing your legacy and greenfield applications rapidly. Be the first to market and lead the change. Leverage Out-of-the-box DevOps capabilities in the platform to simplify and automate your software delivery and maintenance. Spice up your 'cloud first' strategy with multi and hybrid cloud enablement. Avoid vendor lock-in and give the flexibility of choice to your teams to bring their own cloud and infrastructure. Eliminate manual errors due to human factors and save time to modernize applications. Debug and resolve issues faster than before using the built-in developer tools.

Scality provides file and object storage for enterprise data management deployments of all sizes. We adapt to your environment. Traditional on-prem storage? No problem. Storage for modern cloud-native applications? We’ve got you covered. Whether it’s critical healthcare or financial data, government intelligence, digitized national treasures, streaming video content or any other valued asset — Scality has a proven track record of ensuring eleven 9s data durability and long-term protection.

Cloud, container, and Kubernetes security that closes the loop from source to run. Find and prioritize vulnerabilities; detect and respond to threats and anomalies; and manage configurations, permissions, and compliance. See all activity across clouds, containers, and hosts. Use runtime intelligence to prioritize security alerts and remove guesswork. Shorten time to resolution using guided remediation through a simple pull request at the source. See any activity within any app or service by any user across clouds, containers, and hosts. Reduce vulnerability noise by up to 95% using runtime context with Risk Spotlight. Prioritize fixes that remediate the greatest number of security violations using ToDo. Map misconfigurations and excessive permissions in production to infrastructure as code (IaC) manifest. Save time with a guided remediation workflow that opens a pull request directly at the source.

Starburst helps you make better decisions with fast access to all your data; Without the complexity of data movement and copies. Your company has more data than ever before, but your data teams are stuck waiting to analyze it. Starburst unlocks access to data where it lives, no data movement required, giving your teams fast & accurate access to more data for analysis. Starburst Enterprise is a fully supported, production-tested and enterprise-grade distribution of open source Trino (formerly Presto® SQL). It improves performance and security while making it easy to deploy, connect, and manage your Trino environment. Through connecting to any source of data – whether it’s located on-premise, in the cloud, or across a hybrid cloud environment – Starburst lets your team use the analytics tools they already know & love while accessing data that lives anywhere.

Security and risk management platform for Google Cloud. Understand the number of projects you have, what resources are deployed, and manage which service accounts have been added or removed. Identify security misconfigurations and compliance violations in your Google Cloud assets and resolve them by following actionable recommendations. Uncover threats targeting your resources using logs and powered by Google’s unique threat intelligence; use kernel-level instrumentation to identify potential compromises of containers. Discover and view your assets in near-real time across App Engine, BigQuery, Cloud SQL, Cloud Storage, Compute Engine, Cloud Identity and Access Management, Google Kubernetes Engine, and more. Review historical discovery scans to identify new, modified, or deleted assets. Understand the security state of your Google Cloud assets. Uncover common web application vulnerabilities such as cross-site scripting or outdated libraries in your web applications.

HPE Ezmeral ML Ops provides pre-packaged tools to operationalize machine learning workflows at every stage of the ML lifecycle, from pilot to production, giving you DevOps-like speed and agility. Quickly spin-up environments with your preferred data science tools to explore a variety of enterprise data sources and simultaneously experiment with multiple machine learning or deep learning frameworks to pick the best fit model for the business problems you need to address. Self-service, on-demand environments for development and test or production workloads. Highly performant training environments—with separation of compute and storage—that securely access shared enterprise data sources in on-premises or cloud-based storage. HPE Ezmeral ML Ops enables source control with out of the box integration tools such as GitHub. Store multiple models (multiple versions with metadata) for various runtime engines in the model registry.

Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.

H2O.ai is the open source leader in AI and machine learning with a mission to democratize AI for everyone. Our industry-leading enterprise-ready platforms are used by hundreds of thousands of data scientists in over 20,000 organizations globally. We empower every company to be an AI company in financial services, insurance, healthcare, telco, retail, pharmaceutical, and marketing and delivering real value and transforming businesses today.

MinIO's high-performance object storage suite is software defined and enables customers to build cloud-native data infrastructure for machine learning, analytics and application data workloads. MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads. MinIO is the world's fastest object storage server. With READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware, object storage can operate as the primary storage tier for a diverse set of workloads ranging from Spark, Presto, TensorFlow, H2O.ai as well as a replacement for Hadoop HDFS. MinIO leverages the hard won knowledge of the web scalers to bring a simple scaling model to object storage. At MinIO, scaling starts with a single cluster which can be federated with other MinIO clusters.

Virtualization Software for AI Infrastructure. Gain visibility and control over AI workloads to increase GPU utilization. Run:AI has built the world’s first virtualization layer for deep learning training models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned, enabling full utilization of expensive GPU resources. Gain control over the allocation of expensive GPU resources. Run:AI’s scheduling mechanism enables IT to control, prioritize and align data science computing needs with business goals. Using Run:AI’s advanced monitoring tools, queueing mechanisms, and automatic preemption of jobs based on priorities, IT gains full control over GPU utilization. By creating a flexible ‘virtual pool’ of compute resources, IT leaders can visualize their full infrastructure capacity and utilization across sites, whether on premises or in the cloud.

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Lightbend provides technology that enables developers to easily build data-centric applications that bring the most demanding, globally distributed applications and streaming data pipelines to life. Companies worldwide turn to Lightbend to solve the challenges of real-time, distributed data in support of their most business-critical initiatives. Akka Platform provides the building blocks that make it easy for businesses to build, deploy, and run large-scale applications that support digitally transformative initiatives. Accelerate time-to-value and reduce infrastructure and cloud costs with reactive microservices that take full advantage of the distributed nature of the cloud and are resilient to failure, highly efficient, and operative at any scale. Native support for encryption, data shredding, TLS enforcement, and continued compliance with GDPR. Framework for quick construction, deployment and management of streaming data pipelines.

Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable.