I'm here to talk about the partnership with DDN and I don't think I need to convince you how much of an opportunity it is you know for us um in the marketplace otherwise you would not be here uh but um you know we measure that in trillions right we measure in trillion is it 5 trillion 10 trillion 1 trillion it's okay we can take a chunk of it and and suddenly for many customers partners and maybe consultants in the room. Uh we've all started to uh to deliver solutions, make money of it. And I kind of joke w ...

Product Overview - Infinia is a software-defined, next-generation data intelligence platform designed to support both structured and unstructured data, integrating diverse data sources into a unified platform [1] - Infinia aims to reduce complexity in AI deployments and can be deployed on various hardware configurations, including cloud, data centers, reference architectures, and OEM solutions [1] - Infinia operates on the premise of SLAs for capacity, performance, and resilience, abstracting away traditional storage management complexities like volumes and IOPS capping [1] Key Features and Capabilities - Infinia focuses on simplifying data ingestion with low-latency access, emphasizing data tagging for categorization and retrieval in complex environments with billions of objects [1] - Infinia addresses limitations in existing storage solutions by offering unlimited metadata scalability, allowing for thousands of tags per object to refine data definition [1] - Infinia includes capabilities for filtering data at the edge, enabling efficient transfer of relevant data to the core data center for analytics [2] - Infinia offers a software development kit (SDK) to enable customers and service providers to accelerate their applications by using a high-performance interface into Infinia [2] Performance and Efficiency - Infinia achieved a 22x speedup in an indexing and ingest workload on AWS by integrating Nvidia GPUs and utilizing Infinia's S3 interface, resulting in a 70% reduction in GPU resource consumption [1][2] - The company demonstrated a factor of 600 speedup in certain workloads related to identifying data for training AI models [1] Architecture and Integration - Infinia implements data services on top of a key-value store, providing different views onto the data through protocols like S3, file interfaces, and SQL interfaces [2] - Infinia includes a massively distributed SQL server, allowing native access to data and metadata stored in the key-value store through SQL queries [2]

AI Infrastructure & Partnership - Super Micro is positioned as the largest AI OEM infrastructure provider globally [1] - The partnership between Super Micro and DDN aims to provide world-class technology and proven solutions for AI deployment at scale [2][4] - A key focus is on providing support capabilities throughout the investment lifecycle for customers [3] - The collaboration seeks to minimize customers' time to online by integrating solutions in Super Micro's factory and deploying them securely [4] Data Management & Software Solutions - AI development leads to a significant increase in data, and DDN offers expertise in managing this data environment [3] - DDN's shift to a software model with Infinia creates opportunities for flexible deployment leveraging Super Micro technology [5] - Super Micro is capable of integrating Exoscala as a total solution and supporting its deployment [5] Strategic Goals - The shared objective is to capture more market share and support customers in solving significant business challenges through technology [5]

[Music] My name is Dave Mooney. I'm the VP of worldwide data management sales at Lenovo Corporation. The challenges we help our customers overcome is to help them take an idea that they would like to drive and how they could enhance their business with AI and get it implemented first in experimentations and into fast starts all the way into full production.And we can do that from the pocket to the cloud and the data center. We but we're focusing on the enterprise customers. That's where we see the opportuni ...

[Music] I'm Laurel Roseman. I'm vice president of channel and alliances for North America for Nebius. I think the AI market today as we all know is extremely competitive. So to find partners and providers in the GPU space that can really be an advocate for the customer, build the product in the stack the way the customer needs to support their business and be nimble in how you work with them and provide enterprisegrade infrastructure. number one core um core importance there. That is how you're going to win ...

Market Volatility and Systemic Risk - Financial institutions face systemic risks amplified by geopolitical shocks, tariffs (spiking costs by 10-20%), and regulatory changes, necessitating proactive risk management [1] - The interconnectedness of global economies means events in one region (e g, Japan, London) can impact others, highlighting the importance of mitigating systemic risk [1] - Traditional risk models often struggle to keep pace with intraday market volatility, requiring faster data processing and analysis [7] Data and Technology Challenges - Many financial institutions still rely on legacy systems for risk management, which are inadequate for today's volatile environment [1] - Institutions face a data explosion when performing risk calculations like Monte Carlo simulations, generating 15+ terabytes of data daily for a 10-day VaR calculation [5] - Moving data to and from the public cloud for calculations can be slow (e g, taking 3 hours to retrieve 15 terabytes), hindering timely risk analysis [8] Hybrid Cloud and Data Architecture - Hybrid cloud environments are becoming essential, allowing institutions to leverage the scalability of the public cloud while keeping sensitive data on-premises due to regulatory requirements [10][39] - A well-designed data architecture is critical for CIOs, enabling them to leverage different environments for their respective strengths [44][45] - DDN enables a hybrid multi-protocol environment, allowing institutions to keep sensitive data on-premises while running analytics and making the results available quickly [44] DDN's Solutions and Capabilities - DDN offers data intelligence solutions, focusing on providing relevant information up the stack rather than just storage [1] - DDN's Infinia platform can achieve up to 8x faster performance compared to legacy NAS architectures in grid runs with Murex and scenario reloads [28][29] - DDN's data ocean concept allows institutions to leverage data where it sits, avoiding slow and difficult data movement, and provides thousands of tags for finding relevant data [36][37]

Nvidia is powered by DDN. It's great partnering with you. You build amazing technology, really amazing technology.And and without DDN, Nvidia supercomputers wouldn't be possible. And now we're uh we're taking our partnership into a new new frontier into the world of enterprise. Nemo Nemo Omniverse the enterprise with Infinia, sitting on top of Infinia.It's really great. Thank you. Thank you. Thank you very much.Yeah. Thank you. ...