Beyond Artificial

The discussion centers on the transformative impact of AI and data intelligence, highlighting DDN's role in advancing these technologies. Key speakers, including DDN's Alex Bouzari and Nvidia's Jensen Huang, emphasize AI's potential to revolutionize industries from healthcare to autonomous vehicles. The conversation explores DDN's new platform, Infinia, which integrates AI, analytics, and data management to enhance efficiency and innovation. The partnership with Nvidia and investment from Blackstone underscore DDN's growth and influence. The dialogue also touches on AI's role in digital twins and the Omniverse, showcasing AI's capacity to optimize and simulate real-world scenarios.

• DDN positions itself as a pivotal player in the new era of data intelligence, emphasizing the transformative power of AI in data centers and at The Edge.
• The company highlights its role in supporting major AI systems, including those of NASA and Nvidia, showcasing its influence on global AI advancements.
• AI is depicted as a catalyst for transforming various industries, from engineering and agriculture to computer science, with a focus on solving global problems.

"We are the data intelligence platform that propels the growth of AI."

• DDN is central to AI's expansion, providing the infrastructure needed for AI's growth.

• AI is revolutionizing industries by enhancing safety, efficiency, and innovation in sectors such as automotive, healthcare, and manufacturing.
• The concept of digital twins and the Omniverse is introduced, illustrating how AI can simulate and optimize complex systems for better business outcomes.
• In healthcare, AI accelerates drug discovery and personalized medicine, significantly improving diagnostics and treatment precision.

"AI is a transformative force for the auto industry, making autonomous vehicles safer, smarter, and more sustainable."

• AI's role in the automotive industry is crucial for advancing autonomous vehicle technology and safety.

• DDN's technology has powered a significant portion of the world's fastest supercomputers, transitioning from supercomputer support to regular server acceleration for businesses.
• The company has partnered with Nvidia to enhance AI capabilities, contributing to the development of advanced AI systems and platforms.
• DDN's AI data technology is integral to processing vast amounts of data efficiently, supporting the growth of autonomous vehicles and other AI-driven innovations.

"DDN has developed the AI data technology which delivers a safe outcome not just for today but for tomorrow's trillion of data points."

• DDN's technology ensures the safe and efficient processing of data, essential for future AI advancements.

• AI accelerates breakthroughs in healthcare, particularly in drug discovery and personalized medicine, offering unprecedented speed and precision.
• The Scripps Research Institute exemplifies how AI is used to enhance patient care and diagnostic accuracy, leveraging high-performance computing and AI models.

"AI in our field acts primarily as an accelerant, advancing in GPU computing took that processing time down from months to days."

• AI significantly reduces the time required for complex research processes, enhancing the speed of scientific discovery.

• DDN collaborates with Nvidia to enhance AI workflows, providing crucial infrastructure that supports Nvidia's AI stack and ecosystem.
• This partnership allows for the development of efficient AI systems, optimizing data movement and accelerating AI pipeline processes.

"Together with Nvidia, DDN is redefining what is possible in AI and propelling the industry forward in its AI value creation journey."

• The collaboration between DDN and Nvidia is pivotal in advancing AI technology and creating new industry standards.

• Blackstone's significant investment in DDN underscores the company's potential and the growing importance of AI infrastructure.
• The launch of DDN's software product, Infinia, promises to enhance compute efficiency and data ingestion speed, offering substantial ROI improvements.

"Blackstone has invested $300 million in DDN, bringing our valuation to $5 billion."

• This investment highlights DDN's strategic importance in the AI landscape and its potential for future growth.

• DDN is positioned as a leader in AI infrastructure, with partnerships and innovations that drive industry-wide AI adoption.
• The company's future is bright, with ongoing investments and technological advancements that promise to shape the future of AI across various sectors.

"AI is going to be eating the world, and when we think about companies like DDN, especially with the Infinia launch, we think this investment in this company is poised for an extremely bright future."

• The future of AI is expansive, with DDN playing a crucial role in its development and implementation across industries.

• DDN has been a key player in powering mission-critical, high-performance computing (HPC), and AI environments across various sectors, including national labs, research institutions, cloud providers, and Fortune 500 companies.
• The company is renowned for its reliability, scalability, and breakthrough performance, serving industries such as life sciences, financial services, media, entertainment, autonomous vehicles, energy research, and the public sector.
• DDN's solutions are designed to accelerate AI projects, enhance HPC projects, and support over 500,000 GPUs, with a goal to reach one million.

"DDN has powered mission-critical, extremely high-performance computing and AI environments in national labs, research institutions, cloud providers, and Fortune 500 companies."

• This quote highlights DDN's extensive experience and leadership in providing robust computing solutions to a wide range of industries.

• DDN and Super Micro have collaborated for over 20 years, delivering cutting-edge solutions for demanding HPC and AI workloads.
• Their partnership has enabled the completion of significant projects, such as the world's largest AI data center, emphasizing efficiency and performance.
• The collaboration focuses on optimizing server solutions and integrating deep training and AI technologies globally.

"Together with your best class of data intelligent platform and our Building B solution for Server optimization, we finished the world's largest AI data center in just 122 days."

• This quote underscores the successful partnership between DDN and Super Micro in achieving remarkable feats in AI infrastructure development.

• AI cloud providers face challenges in scaling GPUs, optimizing power and space, and managing data bottlenecks while expanding AI workloads.
• DDN's data intelligence platform helps these providers reduce time to insight and boost GPU performance, enabling efficient AI workloads and transformative results.

"These AI cloud providers face significant challenges, including efficiently scaling GPU, optimizing power and space, and preventing data bottlenecks."

• The quote illustrates the common challenges faced by AI cloud providers and how DDN's solutions address these issues.

• G42 Group, based in Abu Dhabi, is responsible for deploying GPU as a service globally, enhancing AI tools for clients to optimize processes like supply chains.
• The company emphasizes the transformative impact of AI on industries, including robotics, and aims to make AI accessible despite high costs.

"Every one of our customers has data that they rely on. What we do is help them in making sure that can not only extract data but that they can use the AI tools to create new value that was otherwise impossible."

• The quote highlights G42 Group's commitment to leveraging AI for creating new value and optimizing critical business operations.

• DDN introduced Infinia, a groundbreaking data intelligence platform that integrates AI analytics and data management.
• Infinia is designed for scalability, performance, and efficiency, supporting critical data protocols and integrating with AI data acceleration libraries.
• The platform enhances AI execution engines, reduces data conversion needs, and provides advanced metadata capabilities for efficient data processing.

"Infinia is a software-defined, metadata-driven, containerized, cloud-native data intelligence platform architectured for great scalability, performance, and efficiency across core cloud and the edge."

• This quote describes Infinia's architecture and its role in advancing data intelligence and AI capabilities.

• Infinia offers multi-tenancy capabilities, ensuring quality of service by providing SLAs for individual tenants and sub-tenants.
• The platform is cloud-native, fully containerized, and capable of scaling from a few terabytes to exabyte scale.
• It addresses critical AI data challenges, including managing distributed data, ensuring low latency, reducing costs, and protecting data at scale.

"Infinia has the possibility to leverage the entire system but simply provide SLAs for individual tenants and sub-tenants in the system on capacity as well as performance."

• The quote highlights Infinia's ability to manage resources effectively, ensuring optimal performance for various workloads.

• Lenovo collaborates with DDN to integrate Infinia with Lenovo ThinkSystem, providing turnkey solutions for AI and edge computing.
• The partnership aims to harness data across cloud and on-premises environments, delivering powerful AI capabilities to customers.

"Together with DDN, we are committed to challenging the boundaries of technology and delivering the AI vision our customers are hoping for."

• This quote emphasizes the shared vision of Lenovo and DDN in pushing technological boundaries and delivering innovative AI solutions to customers.

• Infinia is built to solve four critical AI data challenges: managing distributed multimodal data, ensuring low latency, reducing costs, and protecting data.
• The platform unifies data workflows, enhances AI inference and analytics, and provides a powerful, simple, and secure UI for managing tasks.

"Infinia solves this by creating a unified platform for managing globally distributed data across core cloud and edge."

• The quote explains how Infinia simplifies and unifies complex AI data workflows, improving efficiency and performance.

• Infinia's data management capabilities allow for significantly faster data access and processing times, crucial for AI applications.
• The platform is capable of listing and processing millions of objects per second, greatly surpassing traditional methods.
• Infinia combines high throughput with low latency and advanced metadata performance.

"Infinia is capable of delivering on those matrixes in less than a microsecond for time to First Bite to give a comparison that is one or two orders of magnitude faster than other leading Platforms in the space."

• This quote highlights Infinia's superior speed in data processing, which is critical for AI applications that require rapid data access.

"We have a deployment at a customer where we can deliver 30 to 40 million objects per second returned in list object operations."

• Demonstrates Infinia's ability to handle massive data operations efficiently, far exceeding traditional platforms.

• Infinia is designed for efficiency, minimizing energy, cooling, and data center footprint requirements.
• It offers significant data reduction and storage capabilities, allowing for sustainable operations without sacrificing performance.

"Infinia can achieve 10x of data reduction with the ability to fit over 100 paby of storage into a single rack yet it can significantly reduce the overall data center footprint."

• This quote illustrates Infinia's capability to reduce data center requirements, supporting sustainable business practices.

• Infinia supports modern cloud environments and distributed multi-tenant workloads.
• The platform ensures secure and efficient resource sharing, which is essential for AI and cloud applications.

"Infinia native multi-tenancy is a standout feature allowing secure and efficient resource sharing across tenants and sub-tenants."

• Highlights the platform's ability to manage resources securely and efficiently in multi-tenant environments.

• Infinia provides robust security features, including authentication, access control, and encryption.
• The platform ensures high reliability with features like fault domain-aware erasure coding and snapshots.

"Infinia provides 99.999% of uptime enabled by reliability-focused features such as fault domain-aware Erasure coding replications as well as snapshots."

• Emphasizes Infinia's commitment to security and reliability, crucial for maintaining operational integrity.

• The partnership with Nvidia enhances Infinia's capabilities, integrating cutting-edge innovations for AI infrastructure.
• This collaboration focuses on accelerating AI applications and optimizing infrastructure efficiency.

"Taking advantage of our eight-plus year collaborative relationship with Nvidia, you get the latest and greatest Innovation from Nvidia integrated directly into Infinia."

• Underlines the strategic partnership with Nvidia, which enhances Infinia's AI infrastructure capabilities.

• The development of Infinia was driven by the need for a new architecture for AI, focusing on efficiency and scalability.
• Transforming raw data into data intelligence is essential for AI applications and business insights.

"A completely different approach is needed... it has to be distributed on premise and multicloud and the payload cannot move because it's too expensive... so it has to be metadata and tagging."

• Reflects the visionary approach behind Infinia's development, emphasizing the importance of metadata and scalable architecture.

"The reframing of storage of objects and raw data into Data intelligence... is just an extraordinary reframing of computing and storage."

• Highlights the transformative impact of data intelligence on computing and storage, crucial for AI-driven enterprises.

• Companies are transitioning to a more interactive approach with their data, allowing for modifications and storage in a semantic form.
• Agents and AI systems are being developed to interact with data across various departments, generating insights and reports.

"You have questions for your company's data; your company's data speaks back to you and tells you what you need to know."

• This quote highlights the shift towards a conversational and interactive approach to data management within companies.

• AI agents serve as domain experts, acting as advisors to help organizations gain a competitive edge.
• These agents assist in developing products faster and adding more value to customers.

"Each one is a domain expert in a particular field, and they're the advisors which now organizations can leverage in order to gain competitiveness."

• The quote emphasizes the role of AI agents as specialized advisors that enhance organizational efficiency and competitiveness.

• The concept of the Omniverse allows for the creation of digital twins, enabling virtual experimentation that saves time and resources.
• Digital twins can simulate various scenarios, providing insights that can optimize real-world processes.

"We're going to spin them up as digital twins in the Omniverse, and then the response will come back saying, okay, if you combine these attributes, that will maximize your likelihood of success."

• This quote illustrates how digital twins in the Omniverse can be used to optimize processes and improve outcomes by simulating different scenarios.

• Nvidia and DDN are transitioning from high-performance computing to enterprise solutions, leveraging AI to transform raw data into data intelligence.
• The journey involves moving from supercomputing to digital twins of enterprises, enabling faster and more efficient operations.

"Our journey started out in high-performance computing... now our world is moving into Enterprise together."

• This quote describes the transition from high-performance computing to enterprise solutions, highlighting the evolving focus on data intelligence.

• A data intelligence layer is being built on top of existing data, which will be followed by an agentic layer incorporating AI agents and physical AI in robots.
• The development of reasoning models, such as the open-sourced DeepSeek, is a significant advancement in AI.

"We've now built on top of it an intelligence layer... and on top of that layer, we're going to build an agentic layer."

• The quote outlines the layered approach to building intelligence and agentic systems, integrating AI into both digital and physical realms.

• The AI paradigm is shifting from a focus on pre-training to a more comprehensive approach that includes post-training and reasoning.
• Post-training involves applying foundational knowledge to solve problems, using methods like reinforcement learning.

"The Paradigm is pre-training because we want to have Foundation... the second part, which is post-training, is where you learn to solve problems."

• This quote explains the evolving paradigm in AI training, emphasizing the importance of both foundational learning and problem-solving.

• The efficiency of AI models is improving, leading to accelerated adoption across various industries.
• Tools like CUDA and advancements in models are facilitating this growth, especially in domains like life sciences and autonomous driving.

"It's expanding and it's accelerating the adoption of AI... it's a wonderful thing for NVIDIA and DDN."

• The quote highlights the role of efficient AI models and tools in driving the widespread adoption of AI technologies.

• Companies face the decision of using public cloud AI or developing specialized AI for their specific needs.
• A combination of public cloud AI and specialized, homegrown AI provides the best approach for addressing unique organizational challenges.

"Should companies build AIS or should they just use an AI That's in the public Cloud? The answer is yes and yes."

• This quote reflects the dual approach to AI development, advocating for a blend of public and specialized AI solutions.

• Organizations can achieve differentiation by applying AI in specialized ways that align with their mission and purpose.
• Tools like Nvidia's Nemo and DDN's Infinia enable companies to tailor AI applications for maximum impact.

"The real value is your purpose in life as a life science organization or as a Financial Services organization is what, and so how do you differentiate?"

• The quote underscores the importance of using specialized AI to differentiate and enhance organizational impact.

• The partnership between Nvidia and DDN is advancing into new frontiers, focusing on enterprise solutions powered by AI and digital twins.
• The collaboration aims to enhance the capabilities of enterprises through innovative technologies.

"We're taking our partnership into a new frontier into the world of Enterprise Nemo Omniverse powering the Enterprise with Infinia."

• This quote highlights the strategic partnership between Nvidia and DDN, focusing on the future of enterprise solutions through AI and digital innovation.