Latest news with #NVIDIASpectrum-X
Channel Post MEA
22-03-2025
- Business
- Channel Post MEA
IBM and NVIDIA Expand Collaboration to Accelerate AI at Scale
IBM has announced new collaborations with NVIDIA, including planned new integrations based on the NVIDIA AI Data Platform reference design to help enterprises more effectively put their data to work to help build, scale and manage generative AI workloads and agentic AI applications. As part of today's news, IBM is planning to launch a content-aware storage capability for its hybrid cloud infrastructure offering, IBM Fusion; intends to expand its watsonx integrations; and is introducing new IBM Consulting capabilities with NVIDIA to help drive AI innovation across the enterprise. A 2024 IBM report found that more than three in four executives surveyed (77 percent) say generative AI is market-ready, up from just 36 percent in 2023. With this push to put AI into production comes an increased need for compute and data-intensive technologies. The collaboration between IBM and NVIDIA will enable IBM to provide hybrid AI solutions that take advantage of open technologies and platforms while also supporting data management, performance, security, and governance. Leveraging the NVIDIA AI Data Platform reference architecture, these new solutions are the latest in the IBM and NVIDIA collaboration to build enterprise infrastructure for AI: Augmenting Unstructured Data Processing for AI Performance : With IBM's new content-aware storage (CAS) capability, enterprises will be able to extract the meaning hidden in their rapidly growing volumes of unstructured data for inferencing, without compromising trust and safety, to responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning. IBM Storage Scale will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking. The multimodal document data extraction workflow will also leverage NVIDIA NeMo Retriever microservices, built with NVIDIA NIM. CAS will be embedded in the next update of IBM Fusion planned for the second quarter of this year. : With IBM's new content-aware storage (CAS) capability, enterprises will be able to extract the meaning hidden in their rapidly growing volumes of unstructured data for inferencing, without compromising trust and safety, to responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning. IBM Storage Scale will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking. The multimodal document data extraction workflow will also leverage NVIDIA NeMo Retriever microservices, built with NVIDIA NIM. CAS will be embedded in the next update of IBM Fusion planned for the second quarter of this year. Enabling More Accessible AI : IBM plans to integrate its watsonx offerings with NVIDIA NIM as part of a larger effort to provide access to leading AI models across multiple cloud environments. This will allow organizations to leverage IBM's enterprise-grade AI platform and developer studio, to develop and deploy AI models into their applications of choice while utilizing externally hosted models. IBM's also allows enterprises to implement robust monitoring and governance of NVIDIA NIM microservices across any hosting environment. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration. : IBM plans to integrate its watsonx offerings with NVIDIA NIM as part of a larger effort to provide access to leading AI models across multiple cloud environments. This will allow organizations to leverage IBM's enterprise-grade AI platform and developer studio, to develop and deploy AI models into their applications of choice while utilizing externally hosted models. IBM's also allows enterprises to implement robust monitoring and governance of NVIDIA NIM microservices across any hosting environment. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration. Increasing Support for Compute-Intensive Workloads : With more enterprises embracing generative AI and high-performance computing (HPC), IBM Cloud expanded its NVIDIA accelerated computing portfolio by announcing the availability of NVIDIA H200 instances on IBM Cloud. With its large memory capacity and high bandwidth, the NVIDIA H200 Tensor Core GPU instances are engineered to meet the demands of modern AI workloads and larger foundation models. : With more enterprises embracing generative AI and high-performance computing (HPC), IBM Cloud expanded its NVIDIA accelerated computing portfolio by announcing the availability of NVIDIA H200 instances on IBM Cloud. With its large memory capacity and high bandwidth, the NVIDIA H200 Tensor Core GPU instances are engineered to meet the demands of modern AI workloads and larger foundation models. Transforming Processes with Agentic AI and NVIDIA: IBM Consulting is introducing AI Integration Services to help clients transform and govern end-to-end business processes with agentic AI using NVIDIA Blueprints, such as industry-specific workflows that require agentic AI at the edge. Example use cases include autonomous inspection and maintenance in the manufacturing industry or proactive video data analysis and anomaly response in the energy industry. IBM Consulting is introducing AI Integration Services to help clients transform and govern end-to-end business processes with agentic AI using NVIDIA Blueprints, such as industry-specific workflows that require agentic AI at the edge. Example use cases include autonomous inspection and maintenance in the manufacturing industry or proactive video data analysis and anomaly response in the energy industry. Optimizing Compute Intensive AI Workloads Across Hybrid Cloud Environments: IBM Consulting helps clients build, modernize and manage compute-intensive AI workloads across hybrid cloud environments leveraging RedHat OpenShift and NVIDIA AI. This includes technologies like NVIDIA AI Foundry, NVIDIA NeMo, NVIDIA AI Enterprise, NVIDIA Blueprints, and NVIDIA Clara to accelerate high-compute, complex tasks, while managing AI governance, data security and compliance requirements. 'IBM is focused on helping enterprises build and deploy effective AI models and scale with speed,' said Hillery Hunter , CTO and General Manager of Innovation, IBM Infrastructure. 'Together, IBM and NVIDIA are collaborating to create and offer the solutions, services and technology to unlock, accelerate, and protect data – ultimately helping clients overcome AI's hidden costs and technical hurdles to monetize AI and drive real business outcomes.' 'AI agents need to rapidly access, fetch and process data at scale, and today, these steps occur in separate silos,' said Rob Davis , vice president, Storage Networking Technology, NVIDIA. 'The integration of IBM's content-aware storage with NVIDIA AI orchestrates data and compute across an optimized network fabric to overcome silos with an intelligent, scalable system that drives near real-time inference for responsive AI reasoning.' 0 0
Channel Post MEA
26-02-2025
- Business
- Channel Post MEA
Cisco Expands Partnership With NVIDIA
Cisco has announced plans for an expanded partnership with NVIDIA to provide AI technology solutions to enterprises. Enterprises recognize that AI is essential to growth but remain early in their adoption as they navigate the unique technical complexity and security demands of operating AI-ready data centers. The expanded partnership aims to give organizations flexibility and choice as they look to meet the demand of AI workloads for high-performance, low-latency, highly power-efficient connectivity within – and between – data centers, clouds, and users. 'A robust and scalable AI ecosystem is key to driving the transformative power of AI,' said Hans Vestberg, Chairman and CEO of Verizon. 'This expanded partnership between Cisco and NVIDIA, just like our Verizon AI Connect strategy and solutions, builds towards accelerating and enabling resource-intensive AI workloads at the Edge of the network.' The NVIDIA Spectrum-X Ethernet networking platform based on Cisco and NVIDIA silicon will form the foundation for many enterprise AI workloads. By enabling interoperability between both companies' networking architectures, the two companies are prioritizing customers' needs for simplified, full-stack solutions. The goal of the expanded partnership is to allow customers to optimize their AI infrastructure investments with a common architecture, using their existing management tools and processes, spanning front and back-end networks. 'Enterprises are under immense pressure to deploy AI quickly and effectively, and many leaders struggle to justify the investment while balancing the risks,' said Chuck Robbins, Chair and CEO, Cisco. 'Together, Cisco and NVIDIA are partnering to remove barriers for customers and ensure they can optimize their infrastructure investments to unlock the power of AI.' 'Advancing at lightspeed, AI will revolutionize every industry,' said Jensen Huang, founder and CEO, NVIDIA. 'NVIDIA Spectrum-X is Ethernet enhanced and supercharged for AI. Together with Cisco's enterprise platforms and global reach, we can help companies worldwide build state-of-the-art NVIDIA infrastructure as they race to transform with AI.' By making it easier to integrate and standardize on both Cisco and NVIDIA technology, customers will benefit from current and future technology advancements in the NVIDIA Spectrum-X platform such as adaptive routing, telemetry, congestion control and low latency, as well as Cisco's broader networking, security, and digital resilience portfolio, including the Splunk data platform. As businesses develop AI capabilities and train models on their own data, having a comprehensive security strategy becomes crucial. 'World Wide Technology's long-standing partnerships with Cisco and NVIDIA has already resulted in cutting-edge AI solutions that drive innovation and business transformation,' said Jim Kavanaugh, Co-Founder and CEO, World Wide Technology. 'By leveraging the strengths of Cisco's deep expertise in the data center and NVIDIA's advanced AI technologies, we are poised to deliver unparalleled value to our customers and help them navigate the complexities of AI adoption with confidence.' Cisco and NVIDIA: Accelerating AI workload adoption in the enterprise Together, the two companies are committed to bringing new levels of innovation to accelerate the adoption of AI within enterprises. Focusing on simplifying deployment and operations, while improving workload performance and visibility, the objective of this deeper partnership is to deliver the highest performance Ethernet solutions available for AI workloads and extend NVIDIA's Spectrum-X architecture to include Cisco Silicon One, making Cisco the only partner silicon supported in Spectrum-X Ethernet solutions. In addition, the expanded partnership will help move enterprise data center Ethernet AI projects from prototype to full deployment, which would otherwise be limited to public cloud or SaaS services. Today, Cisco and NVIDIA are planning to develop joint solutions for customers. Cisco will develop data center switches with the NVIDIA Spectrum Ethernet platform. The open ecosystem approach will provide customers with more choices and flexibility. Organizations can standardize on the NVIDIA Spectrum-X networking platform with both Cisco and NVIDIA switch silicon-based architectures, bringing the industry-leading technologies from both companies under a single management fabric. The open ecosystem approach will provide customers with more choices and flexibility. Organizations can standardize on the NVIDIA Spectrum-X networking platform with both Cisco and NVIDIA switch silicon-based architectures, bringing the industry-leading technologies from both companies under a single management fabric. Cisco will collaborate with NVIDIA to create and validate NVIDIA Cloud Partner (NCP) and Enterprise Reference Architectures based on NVIDIA Spectrum-X with Cisco Silicon One, Hyperfabric, Nexus, UCS Compute, Optics, and other Cisco technologies. with Cisco Silicon One, Hyperfabric, Nexus, UCS Compute, Optics, and other Cisco technologies. Cisco and NVIDIA are committed to collaboration and joint development, aiming to deliver the highest-performing Ethernet solutions for customers. The companies plan for continued collaboration to address significant challenges like congestion management and load balancing so that customers can scale and secure AI deployments. Cisco plans to enhance its Silicon switches to be compatible with Spectrum-X and NVIDIA's reference architectures. These updates will be available in the middle of calendar year 2025, including existing and upcoming Cisco Nexus, Cisco Nexus Hyperfabric, and Cisco UCS products. The timeline for new Cisco Spectrum switches will be announced at a later date. 0 0
