HPE Unveils Hybrid Cloud AI Solutions at HPE Discover 2024

Hybrid cloud AI solutions: Red Hat and HPE innovations advance tech

Hybrid cloud AI solutions take center stage in Red Hat and HPE's strategic collaboration Hybrid cloud AI solutions are becoming essential as business leaders navigate the rapidly changing landscape of technology and market demands. Red Hat Inc., in partnership with Hewlett Packard Enterprise Co., is driving innovation in virtualization and artificial intelligence. The companies' efforts are helping organizations transition smoothly into the next era of technology. "GreenLake bringing pay-as-you-go into the context of the private cloud space and hybrid cloud is a great enabler for our platform," said Ryan King (pictured), senior director of the global hardware partner ecosystem at Red Hat. "We're seeing two patterns, more customers, and we're also seeing that adoption ramp, because when you have a consumption model, it's easy to consume and it's easy for people to try and become consumers." King spoke with theCUBE Research's Dave Vellante and Rebecca Knight at HPE Discover, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed the growing partnership between HPE and Red Hat, how AI empowers developers and Red Hat's partnership with Nvidia Corp. (* Disclosure below.) Red Hat Enterprise Linux AI offers a strong foundation for AI and machine learning projects. It's transforming how businesses create and deploy AI models, according to King. "RHEL AI is at its basics level, it's RHEL, but it's in a new format called Image Mode, which we can talk a little bit about. It includes InstructLab, it includes the runtimes and then it includes the Granite model," he said. "For customers that are asking, 'How can I, in a dated sovereignty space around data is IP, hold on to my data and take these foundational models and fine-tune them for my company's use case?' What RHEL AI is doing is democratizing that approach." AI is an extremely resource-heavy technology, calling for hefty computing to fully support its many capabilities. Red Hat and Nvidia teamed up to bring the power of AI to its customers with the help of Nvidia's new Nvidia Interface Microservice capability, integrated with Red Hat OpenShift AI to optimize AI models efficiently, King explained. "It really is a sandwich. You've got everything down to the kernel, you have the GPU and the driver, and you have layers like CUDA and you have PyTorch," he said. "At every layer, we have to optimize with them and then we have to manifest into real usability concepts, which we do with OpenShift AI for MLOps. They're helping to do with the consumability and availability of these different things through NIM or through the packaging that Intel's offering." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of HPE Discover:

HPE unveils Private Cloud AI co-engineered with Nvidia - SiliconANGLE

Private Cloud AI: HPE and Nvidia co-engineer solution with integrated storage and networking Hewlett Packard Enterprise Co. Private Cloud AI is revolutionizing enterprise artificial intelligence by offering a powerful, turnkey solution that combines strong compute power, fast storage and user-friendly features. HPE's latest innovation provides a compelling option for businesses looking to streamline AI deployment and accelerate digital transformation. "We announced Private Cloud AI, which is a fully integrated hardware-software stack solution co-engineered with Nvidia; it includes storage, compute and networking," said Cheri Williams (pictured), senior vice president and general manager of GreenLake Flex Solutions and common services at HPE. "Of course, the compute is the Nvidia GPUs as well as a very rich curated stack of software components, including the Nvidia NIM software stack, the Nvidia AI enterprise software stack and the HPE AI essential stack." Williams spoke with theCUBE Research's Dave Vellante and Rebecca Knight at HPE Discover, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed HPE Private Cloud AI and its potential to make advanced AI capabilities accessible to enterprises of all sizes. (* Disclosure below.) The system is designed to be ready for deployment right out of the box, significantly reducing setup time and complexity. Beyond just AI servers, HPE Private Cloud AI is a set of fully engineered systems, with Nvidia Corp. hardware underpinnings, tailored to an organization's specific set of use cases, according to Williams. "It comes completely preloaded, racked and ready to roll into your data center, plug into your network, three clicks and you're ready to go," she said. "And you have the storage aspect both in system storage and then we have embedded the Ezmeral Data Fabric and the Data Lakehouse. What's super important about that and super interesting is that that allows you through a single global namespace to be able to access data anywhere." Private Cloud AI is designed with scalability in mind. Customers can start small and scale as needed or opt for larger configurations to future-proof investments, with system support for various GPU configurations, according to Williams. "Small starts with four to eight GPUs and then the other piece that's variable is the storage," she said. "You can start with 30 terabytes of storage and go up to 109 terabytes on small and then medium has its range and so forth. And they're attuned to different use cases in different models." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of HPE Discover: