What is the point of a $200 million GPU cluster if half of your GPUs are sitting idle. At DDN, we fix that. We take you to 99% utilization reliably at any scale.Come to supercomputing. We will show you how. [Music]. ...

[Music] Some stats say 60% of the internet's content now is created with AI and that's going to go to 90% by the end of 2026. We actually build models to detect whether content is generated by AI or if it's real. >> My name is Zoho EMTT.I'm the CEO and co-founder at Resemble AI. Uh it's a company I started 5 and a half years ago. We're building Texas speech models that support voice cloning uh in 23 different languages.And our customers use us for agentic AI, so real-time voice agents for media. Think of mo ...

So we've always set the bar very very high. Uh and that combined with the fact that we started out at DDN solving massive scale data set challenges gave us the foundation to pivot our technology into AI and DDN is the only company today which is solving the right at scale challenge which applies to LLM and Gen AI. power consumption, the movement of data, the ability to support hundreds and hundreds of software suites of AI frameworks and make sure that each and every one of them operates at the highest leve ...

Welcome to this Infinia demo. Today we'll be showing how Infinia can handle all the IO needs in an AI data pipeline. The Infinia architecture can be broken down into sections.Storage services providing enhanced resilience and elastic scale capabilities of the storage itself. The data plane comprised of a key value store as well as the presentation of data to clients via IO protocols. SQL queries of the KV store data and metadata and an SDK to integrate directly with applications and frameworks.And finally, ...

Welcome to this demonstration. Today we'll be showing how DDN enables a one-click high-performance rag pipeline for enterprise use. Our rag pipeline solution is enterprise class and easy to deploy and use in any cloud environment whether AWS, GCP, Azure, any NCP cloud and of course on prem.Let's take a closer look at the architecture. This rag pipeline solution is made of several NVIDIA Nemo NIMS or NVIDIA inference microservices which host embedding reranking LLM models a milild vector database a front-end ...

AI Workflow & Data Preparation - Infinia plays a crucial role in AI workflows, particularly in data preparation stages, by handling diverse data ingestion, providing low-latency KV store access at scale, and integrating with various AI platforms [2] - The AI pipeline involves data collection, pre-processing, tagging, and indexing as key data preparation steps [1] - DDN's Infinia, combined with Spark integrations, facilitates a smooth and scalable workflow using familiar tools for AI developers [6][7] Data Management & Security - Infinia addresses the challenge of providing secure data buckets for multiple developers through multi-tenancy controls, enabling dynamic addition or removal of secure tenants and subtenants [6] - DDN has developed Spark integrations to efficiently move data into developer tenant buckets [6] - Infinia's multi-tenancy can create secure locations for hosting data used in each inference pipeline [9] Mortgage Default Modeling Demo - The demonstration uses 10 years of quarterly mortgage finance data to model delinquency rates and probabilities on mortgage defaults [4] - Apache Spark is used to prepare the data and pipe it into a model training process that could be run on top of Infinia [3] - The workflow includes extracting recent data subsets, copying them into new Infinia buckets using Spark, and transforming the data into parquet files for model training [4][8] - The model training utilizes the XGBoost machine learning library to create a predictive model for mortgage defaults [9]

Welcome to this demonstration. Today we're going to show you a brief look at the performance of DDN Infinia in Oracle Cloud Infrastructure. Because this is a tech preview, the information presented is for potential future integrations.The overall capabilities, including the performance of this feature, can and will change. No timelines for delivering this capability should be inferred from this demo. The Infinia architecture provides a broad set of capabilities for data management.starting with a variety of ...

Performance Comparison - DDN Infinia writes chunks at 0041 seconds (4 milliseconds) per chunk, significantly faster than AWS [6] - AWS object store writes each chunk at 01169 seconds (112 milliseconds) per chunk [7] - DDN Infinia uploads a 628-chunk document in approximately 25 seconds, while AWS takes around 74 seconds [7] - DDN Infinia is approximately 285 times faster than AWS in document upload [7] - DDN Infinia retrieves chunks in 01600 seconds (160 milliseconds) total, averaging 32 milliseconds per chunk [13] - AWS retrieves chunks in 165 seconds, with each chunk taking 331 milliseconds [14] - DDN Infinia is 103 times faster than AWS in total query retrieval time [14] AI Pipeline Impact - With DDN Infinia, an analyst can upload and query an annual report in just 2 seconds [8] - A 30x performance advantage transforms the entire AI pipeline, making documents readily available for AI consumption [9] - Reduced latency with DDN Infinia can save significant time, potentially turning a 5-minute research task into 3 seconds [15] - Latency compounds across multiple users and sessions, impacting GPU economics and overall productivity [15]

RAG Acceleration with DDN Infinia - DDN Infinia accelerates retrieval-augmented generation (RAG) by removing I/O and object storage delays [1] - DDN Infinia delivers sub-second retrieval [1] - DDN Infinia achieves 96% GPU utilization [1] - DDN Infinia enables seamless scaling for hybrid vector and keyword search workloads [1] Key Benefits - DDN Infinia accelerates hybrid RAG retrieval [1] - DDN Infinia reduces latency and maximizes throughput [1] - DDN Infinia streamlines vector search and context retrieval [1] - DDN Infinia improves LLM performance in enterprise AI environments [1] DDN Overview - DDN is a pioneer in high-performance data storage and management [1] - DDN delivers innovative solutions that empower organizations across the globe [1]

[Music] The countdown is on. SC25 is almost here and DDN is heading to St. Louis this November 17th through the 20th.Here's a sneak peek at what's in store. [Music] [Applause] DDN is the exclusive IO sponsor at Supercomputing 25. Find us at booth 1527, that's 1527, for live demos, our booth theater, and book a one-on-one meeting with our experts building tomorrow's AI and HPC infrastructure.[Music] And don't miss BDN's Beyond Artificial Data Summit, supported by NVIDIA and sponsored by Google Cloud and Supe ...