Red Hat, Inc. - Experts & Thought Leaders
Latest Red Hat, Inc. news & announcements
Nutanix, a pioneer in hybrid multi-cloud computing announced the Nutanix GPT-in-a-Box™ solution for customers looking to jump-start their artificial intelligence (AI) and machine learning (ML) innovation while maintaining control over their data. Software-defined AI-ready platform The new offering, available currently, is a full-stack software-defined AI-ready platform, along with services to help organisations size and configure hardware and software infrastructure suitable to deploy a curated set of large language models (LLMs) using the open-source AI and MLOps frameworks on the Nutanix Cloud Platform™. It allows customers to easily procure AI-ready infrastructure to fine-tune and run generative pre-trained transformers (GPT), including LLMs at the edge or in their data centre. Generative AI and AI/ML application New use cases emerge every day as organisations look to leverage generative AI to improve customer service Many enterprises are grappling with how to quickly, efficiently, and securely take advantage of the power of generative AI and AI/ML applications, especially for use cases that cannot be run in the public cloud because of data sovereignty, governance, and privacy concerns. New use cases emerge every day as organisations look to leverage generative AI to improve customer service, developer productivity, operational efficiency and more. Challenges with AI adoption From automated transcription of internal documents to a high-speed search of multimedia contents, and automated analysis, many organisations see the opportunity with AI but are struggling with growing concerns regarding intellectual property leakage, compliance, and privacy. Additionally, organisations looking to build an AI-ready stack often struggle with how to best support ML administrators and data scientists, while the prospect of large AI investment costs has enterprises stalled in their AI and ML strategy. Install, configure, and run With GPT-in-a-Box, Nutanix offers customers a turnkey, easy-to-use solution for their AI use cases" “As customers look to design and deploy generative AI solutions, they find themselves struggling with balancing the deep expertise required to install, configure, and run these workloads with concerns around their data security and protecting company IP, all while controlling costs,” said Greg Macatee, Senior Research Analyst, Infrastructure Systems, Platforms and Technologies Group at IDC. “With GPT-in-a-Box, Nutanix offers customers a turnkey, easy-to-use solution for their AI use cases, offering enterprises struggling with generative AI adoption an easier on-ramp to deployment.” Nutanix GPT-in-a-Box solution The Nutanix GPT-in-a-Box solution delivers ready-to-use customer-controlled AI infrastructure for the edge of the core data centre and allows customers to run and fine-tune AI and GPT models while maintaining control over their data. Nutanix provides a full complement of security and data protection offerings ideal for AI data protection. AI-ready stack Nutanix GPT-in-a-Box is an opinionated AI-ready stack that aims to solve the key challenges" “Helping customers tackle the biggest challenges they face in IT is at the core of what we do, from managing increasing multi-cloud complexity to data protection challenges, and now the adoption of generative AI solutions while keeping control over data privacy and compliance,” said Thomas Cornely, SVP, Product Management at Nutanix. “Nutanix GPT-in-a-Box is an opinionated AI-ready stack that aims to solve the key challenges with generative AI adoption and help jump-start AI innovation.” Inclusions with GPT-in-a-Box This new solution includes: The Industry-pioneering Nutanix Cloud Infrastructure™ platform, with the Nutanix Files Storage™ and Objects Storage™ solutions, the Nutanix AHV® hypervisor, and Kubernetes, along with NVIDIA GPU acceleration, which can be sized for large to small scale. Nutanix services to help customers size their cluster and deploy an opinionated stack with the leading open-source deep learning and MLOps frameworks, an inference server, and a curated set of large language models such as Llama2, Falcon, and MPT. The ability for data scientists and ML administrators to immediately consume these models with their choice of applications, enhanced terminal UI, or standard CLI. The platform can also be leveraged to run other GPT models, as well as fine-tune these models leveraging internal data, hosted on included Nutanix Files or Objects Storage services. Nutanix Cloud Platform The Nutanix Cloud Platform delivers the performance, flexibility, and security required to safely deploy AI workloads" “Leveraging AI to more efficiently and effectively help our customers is a top priority for us but, as a regulated financial services organisation, maintaining full control over our data is necessary," said Jon Cosson, CISO at JM Finn. "The Nutanix Cloud Platform delivers the performance, flexibility, and security required to safely deploy AI workloads." Scalability, performance, resilience The Nutanix GPT-In-a-Box solution builds on the full stack scalability, performance, resilience, and ease of use that the Nutanix Cloud Platform is known for. Nutanix’s expertise with scalable infrastructure across public cloud, datacentre, and edge use cases delivers the ideal environment to fine-tune and run AI applications while maintaining control over the data. In fact, in a recent survey, 78% of Nutanix customers indicated that they were likely to run their AI/ML workloads on the Nutanix Cloud Platform. Key contributions Nutanix’s expertise and involvement in the open-source AI community provide customers with a strong foundation Nutanix’s expertise and involvement in the open-source AI community provide customers with a strong foundation on which to build their AI strategy. Key contributions include participation in the MLCommons (AI standards) advisory board; co-founding and technical leadership in defining the ML Storage Benchmarks and Medicine Benchmarks; serving as a co-chair of the Kubeflow (MLOps) Training and AutoML working groups at the Cloud Native Computing Foundation (CNCF). Supporting quotes Sarwar Raza, Vice President, Cloud Services, Red Hat “Red Hat is helping organisations across various industries to accelerate business and mission-critical initiatives through the development and deployment of AI-enabled applications in the hybrid cloud." "With this launch, joint customers can take advantage of Red Hat OpenShift AI along with the Nutanix AI-ready stack to jump-start innovation on a consistent, scalable open-source foundation while maintaining control over their data.” Dinanath Kholkar, SVP and Global Head of Partner Ecosystems & Alliances at TCS TCS has a long track record of embracing technology innovations in a secure manner to satisfy customer demand" “Enterprises everywhere are looking to leverage the generative AI opportunity but many, especially in regulated industries, are concerned with potential IP and data security issues. TCS has a long track record of embracing technology innovations in a secured manner to satisfy customer demand and enable them to focus on business outcomes." "Nutanix GPT-in-a-Box along with TCS Cognix, a future-ready service delivery platform, allows customers to realise the value of artificial intelligence and machine learning by providing service resiliency, business agility, and enhanced customer experience to organisations.” Vinod Chandran, COO, Hexaware “Taking advantage of the potential of generative AI is one of the most significant opportunities available to global enterprises today, and finding the right partner to guide this journey is crucial." "Nutanix GPT-in-a-Box, along with consulting and solutions from Hexaware, can help jumpstart this AI journey by addressing some of the key talent, security, compliance, deployment, and scale challenges they’re facing today.” Prasad Vellanki, CEO, DKube “Generative AI is top of mind for many enterprises, but most don't have the in-house resources to fully take advantage of this opportunity." "Nutanix GPT-in-a-Box, along with solutions from DKube, simplifies enterprise AI adoption with an AI-ready stack to jumpstart innovation.”
Snow Software, the pioneer in technology intelligence, announces new and enhanced capabilities to support IT leaders seeking to negotiate better contract terms, lower operating expenses, and boost organisational-wide efficiencies during this period of macroeconomic uncertainty. The latest features offer a richer view of an organisation’s IT investments and the impact to the business, providing new ways to optimise costs and ensure value of complex technologies like containers and cloud services. Container visibility, one of the newest innovations on the Snow Atlas platform, provides details on applications running in Kubernetes containers to identify cost savings. Seeking deeper understanding “The macroeconomic environment is forcing organisations to seek a deeper understanding of how all areas of their business are performing,” said Sanjay Castelino, Chief Product and Customer Officer at Snow. The macroeconomic environment is forcing organisations to seek a deeper understanding" “With large annual budgets devoted to IT spend, demonstrating return on investment for every technology purchase is vital for CIOs and IT teams. The latest release from Snow not only identifies how technology is used but also offers use cases to support more sustainable IT practices such as understanding the carbon footprint of devices. With IT environments more complex than ever, the intelligence Snow provides serves as the backbone for organisations seeking to get more control over IT spending and risk.” Standard containerised applications More than 70% of global organisations will use containerised applications by 2023, according to industry analysts. Widespread use of containers creates new barriers for organisations seeking to understand what is running in a container – let alone control costs. The new container visibility feature available on Snow Atlas is designed to provide IT teams and IT asset managers (ITAM) details on what applications are running, how many containers are used in their environment, and how long containers have been running. In this release, the capability provides insights into Microsoft, Oracle, and Red Hat standard containerised applications running in Kubernetes environments. Container visibility is available for Kubernetes environments running on major cloud services such as Amazon Web Services (AWS) and Microsoft Azure environments. This insight enables IT and ITAM teams to manage cost more efficiently. Organisational tech stack Snow is inviting organisations with Kubernetes environments to use the functionality Snow is inviting organisations with Kubernetes environments to use the functionality, with general availability of the capability aimed at early 2023. To give a more complete picture of the end-to-end organisational tech stack, the latest release from Snow gives ITAM teams a spend snapshot across AWS and Azure in the terminology and views used by ITAM. With this new service – available to all Snow Atlas customers – ITAM teams have improved views of their organisation’s spend profile in public cloud natively within their SAM tool. By building this feature natively within the existing SAM product, Snow makes it easier for ITAM to drive conversations about spend optimisation with cloud stakeholders and FinOps teams. Mature cloud practices For organisations with more mature cloud practices, FinOps or cloud operations practitioners, Snow Cloud Cost powered by Anodot provides greater depth of visibility, insights, and analysis on public cloud spend, controls for budget management and spend allocation, detection of anomalies, and recommendations for optimising spend. Organisations can leverage existing ITAM data, such as the laptop and desktop details Developing a more sustainable enterprise is a top priority for most CIOs. Snow makes it easier for IT teams to deliver on their sustainability goals. Organisations can leverage existing ITAM data, such as the laptop and desktop details, to assess their sustainability baseline. This sustainability intelligence report from Snow also includes curated information on how many certified sustainable devices exist, the spectrum of energy efficient devices, and an evaluation of carbon emission reduction with on-premises to cloud shifts. The data provided by Snow enables CIOs and IT leaders to take proactive measures to actively manage and advance their sustainability initiatives. New licence intelligence With the end of maintenance for Business Suite 7 approaching, the migration to S/4HANA is a strategic imperative for many organisations. Snow is releasing new licence intelligence, contract management, and management dashboards for Snow Optimiser for SAP® Software to help offer further support with S/4HANA migrations. The new licence intelligence capabilities allow organisations to easily simulate alternative licence scenarios for both usage and authorisation-based licencing, helping them decide on the most efficient and cost-effective migration strategy. In addition, new functionality allows for more transparent and secure management of an organisation’s SAP environment by providing insight into licence metrics and enhanced controls over contract management.
Aqua Security, the pure-play cloud-native security provider, and the Center for Internet Security (CIS), an independent, nonprofit organisation with a mission to create confidence in the connected world, releases the industry’s first formal guidelines for software supply chain security. Developed through a collaboration between the two organisations, the CIS Software Supply Chain Security Guide provides more than 100 foundational recommendations that can be applied across a variety of commonly used technologies and platforms. Software supply chain In addition, Aqua Security unveiled a new open-source tool, Chain-Bench, which is the first and only tool for auditing the software supply chain to ensure compliance with the new CIS guidelines. The new guidelines establish general best practices that support key emerging standards like SLSA and TUF Although threats to the software supply chain continue to increase, studies show that security across development environments remains low. The new guidelines establish general best practices that support key emerging standards like Supply Chain Levels for Software Artifacts (SLSA) and The Update Framework (TUF) while adding foundational recommendations for setting and auditing configurations on the Benchmark-supported platforms. Supply chain security Within the guide, recommendations span five categories of the software supply chain, including Source Code, Build Pipelines, Dependencies, Artifacts, and Deployment. CIS intends to expand this guidance into more specific CIS Benchmarks to create consistent security recommendations across platforms. As with all CIS guidance, the guide will be published and reviewed globally. Feedback will help ensure that future platform-specific guidance is accurate and relevant. “By publishing the CIS Software Supply Chain Security Guide, CIS and Aqua Security hope to build a vibrant community interested in developing the platform-specific Benchmark guidance to come,” said Phil White, Benchmarks Development Team Manager for CIS. “Any subject matter experts that develop or work with the technologies and platforms that make up the software supply chain are encouraged to join the effort in building out additional benchmarks. Their expertise will be valuable to establishing critical best practices to advance software supply chain security for all.” Secure software releases Chain-Bench scans the DevOps stack from source code to deployment To date, the guide has been reviewed by experts at CIS, Aqua Security, Axonius, PayPal, CyberArk, Red Hat, and other technology firms. Ofir Shapira, Cyber Security Product Manager, Axonius: “The work Aqua is doing around software supply chain security, not only as a company but for the wider community, is paving the way for more secure software releases.” Erez Dasa, Cyber & Application Security Architect, digital payment organisation: “Implementing these guidelines over development processes gives us much more confidence in the security of releases.” To support organisations adopting the CIS guidance, Aqua released Chain-Bench. Chain-Bench scans the DevOps stack from source code to deployment and simplifies compliance with security regulations, standards, and internal policies to ensure teams can consistently implement software security controls and best practices. Stronger security practices “Building software at scale requires strong governance of the software supply chain, and strong governance requires effective tools. This is where we saw an opportunity to add value,” said Eylam Milner, Director Argon Technology, Aqua Security. “We wanted to leverage our expertise in software supply chain security to help build critical guidance for one of industry’s most pressing challenges, as well as a free, accessible tool to help other organisations adhere to it. The work doesn’t stop here. We will continue working with CIS to refine this guidance, so that organisations worldwide can benefit from stronger security practices.”
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