Utilizing Tech - Season 7: AI Data Infrastructure Presented by Solidigm

Tech Field Day
Utilizing Tech - Season 7: AI Data Infrastructure Presented by Solidigm

Welcome to Utilizing Tech, the podcast about emerging technology from Tech Field Day, part of The Futurum Group. Season 7 is presented by Solidigm and focuses on the question of AI Data Infrastructure and how that infrastructure is important for the future of artificial intelligence. Season 7: AI Data Infrastructure presented by Solidigm Season 6: Utilizing AI Season 5: Utilizing Edge Computing Season 4: Utilizing CXL Season 1-3: Utilizing AI

  1. 07x08: Deploying AI Data Infrastructure in the Datacenter with Ariel Pisetzky of Taboola

    22 ИЮЛ.

    07x08: Deploying AI Data Infrastructure in the Datacenter with Ariel Pisetzky of Taboola

    As practical applications of AI are rolled out, they are increasingly being deployed on-premises at scale. We are wrapping up this season of Utilizing Tech with Solidigm focused on AI Data Infrastructure by discussing practical deployment considerations with Ariel Pisetzky, VP of Information Technology and Cyber at Taboola in a discussion with Jeniece Wnorowski and Stephen Foskett. Companies like Taboola are built on data and have been deploying AI-driven applications for years. Generative AI brings new capabilities but is part of a spectrum of solutions that leverage data to produce results for customers. As applications mature, many companies are looking to bring them back on-premises, and this trend will likely accelerate given the cost of AI infrastructure as-a-service offerings. Owned infrastructure can also deliver beyond expected lifespans, representing a potential windfall for businesses that can continue to use deprerciated hardware. This is especially true of large flash drives, which have proven much more reliable than initially predicted. Although it is tempting to buy the biggest, fastest infrastructure to extend the lifespan of equipment, Pisetzky recommends focusing on equipment that is flexible and can be re-purposed in other ways in the future. Server storage is unique in that it is easy to upgrade and replace it in place, even hot-swapping drives, and large lives have a very long lifespan. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠⁠⁠https://www.linkedin.com/in/sfoskett/⁠⁠⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: ⁠⁠⁠https://www.linkedin.com/in/jeniecewnorowski/⁠ Guest: Ariel Pisetzky, VP of Information Technology and Cyber, Taboola: https://www.linkedin.com/in/ariel-pisetzky/ Follow Utilizing Tech Website: ⁠⁠⁠⁠https://www.UtilizingTech.com/⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠⁠⁠ Tech Field Day Website: ⁠⁠⁠⁠https://www.TechFieldDay.com⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    35 мин.
  2. 07x07: Accelerating Storage Infrastructure using GPUs with Graid Technology

    15 ИЮЛ.

    07x07: Accelerating Storage Infrastructure using GPUs with Graid Technology

    Modern AI infrastructure has exposed the importance of reliability and predictability of storage in addition to performance. This episode of Utilizing Tech, presented by Solidigm, features Kelley Osburn of Graid Technology discussing the challenges of maximizing performance and resiliency of storage for AI with Jeniece Wnorowski and Stephen Foskett. AI servers are optimized for machine learning processing, and Graid Technology SupremeRAID offloads processing to GPUs similarly to the way these massively-parallel processors offload ML processing. They also have a peer-to-peer DMA feature to direct the data directly to the processor rather than forcing all data to pass through a single processor or channel. There is a need for RAID software at many spots in the data pipeline, from ingestion and preparation to processing and consolidation, and each requires performance and availability. There are many applications that require maximum performance and capacity without impacting the host CPU, including military, medical research and diagnostics, and financial, in addition to AI processing. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠⁠⁠https://www.linkedin.com/in/sfoskett/⁠⁠⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: ⁠⁠⁠https://www.linkedin.com/in/jeniecewnorowski/⁠ Guest: Kelley Osburn, Senior Director at Graid Technology: https://www.linkedin.com/in/kelleyosburn/ Follow Utilizing Tech Website: ⁠⁠⁠⁠https://www.UtilizingTech.com/⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠⁠⁠ Tech Field Day Website: ⁠⁠⁠⁠https://www.TechFieldDay.com⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    29 мин.
  3. 07x06: Connecting Ceph Storage to AI with Clyso

    8 ИЮЛ.

    07x06: Connecting Ceph Storage to AI with Clyso

    Many of the largest-scale data storage environments use Ceph, an open source storage system, and are now connecting this to AI. This episode of Utilizing Tech, sponsored by Solidigm, features Dan van der Ster, CTO of Clyso, discussing Ceph for AI Data with Jeniece Wnorowski and Stephen Foskett. Ceph began in research and education but today is widely used as well in finance, entertainment, and commerce. All of these use cases require massive scalability and extreme reliability despite using commodity storage components, but Ceph is increasingly able to deliver high performance as well. AI workloads require scalable metadata performance as well, which is an area that Ceph developers are making great strides. The software has also proved itself adaptable to advanced hardware, including today’s large NVMe SSDs. As data infrastructure development has expanded from academia to HPC to the cloud and now AI, it’s important to see how the community is embracing and improving the software that underpins today’s compute stack. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠⁠https://www.linkedin.com/in/sfoskett/⁠⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Guest: Dan van der Ster, CTO at CLYSO and Ceph Executive Council Member: https://www.linkedin.com/in/dan-vanderster/ Follow Utilizing Tech Website: ⁠⁠⁠⁠https://www.UtilizingTech.com/⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠⁠⁠ Tech Field Day Website: ⁠⁠⁠⁠https://www.TechFieldDay.com⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    28 мин.
  4. 07x05: Efficiently Scaling AI Data Infrastructure with Ocient

    1 ИЮЛ.

    07x05: Efficiently Scaling AI Data Infrastructure with Ocient

    As the volume of data supporting AI applications grows ever larger, it's critical to deliver scalable performance without overlooking power efficiency. This episode of Utilizing Tech, sponsored by Solidigm, brings Chris Gladwin, CEO and co-founder of Ocient, to talk about scalable and efficient data platforms for AI with Jeniece Wnorowski and Stephen Foskett. Ocient has developed a new data analytics stack focused on scalability with energy efficiency for ultra-large data analytics applications. At scale, applications need to incorporate trillions of data points, and it is not just desirable but necessary to enable this without losing sight of energy consumption. Ocient leverages flash storage to reduce power consumption and increase performance but also moves data processing closer to the storage to reduce power consumption further. This type of integrated storage and compute would not be possible without flash, and reflects the architecture of modern processors, which locate memory on-package with compute. Ocient is already popular in telco, e-commerce, and automotive, and the scale of data required by AI applications is similar, especially as concepts like retrieval-augmented generation are implemented. The conversation around datacenter, cloud, and AI energy usage is coming to the fore, and companies must address the environmental impact of everything we do. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠⁠https://www.linkedin.com/in/sfoskett/⁠⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: ⁠⁠https://www.linkedin.com/in/jeniecewnorowski/⁠ Guest: Chris Gladwin, CEO and Cofounder, Ocient: https://www.linkedin.com/in/chris-gladwin-7ba42b/ Follow Utilizing Tech Website: ⁠⁠⁠https://www.UtilizingTech.com/⁠⁠⁠ X/Twitter: ⁠⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠⁠ Tech Field Day Website: ⁠⁠⁠https://www.TechFieldDay.com⁠⁠⁠ LinkedIn: ⁠⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠⁠ X/Twitter: ⁠⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    32 мин.
  5. 07x04: Maximum Performance and Efficiency in AI Data Infrastructure with Xinnor

    24 ИЮН.

    07x04: Maximum Performance and Efficiency in AI Data Infrastructure with Xinnor

    Cutting-edge AI infrastructure needs all the performance it can get, but these environments must also be efficient and reliable. This episode of Utilizing Tech, brought to you by Solidigm, features Davide Villa of Xinnor discussing the value of modern software RAID and NVMe SSDs with Ace Stryker and Stephen Foskett. Xinnor xiRAID leverages the resources of the server, including the AVX instruction set found on modern CPUs, to combine NVMe SSDs, providing high performance and reliability inside the box. Modern servers have multiple internal drive slots, and all of these drives must be managed and protected in the event of failure. This is especially important in AI servers, since an ML training run can take weeks, amplifying the risk of failure. Software RAID can be used in many different implementations, with various file systems, including NFS and high-performance networks like InfiniBand. And it can be tuned to maximize performance for each workload. Xinnor can help customers to tune the software to maximize reliability of SSDs, especially with QLC flash, by adapting the chunk size and minimizing write amplification. Xinnor also produces a storage platform solution called xiSTORE that combines xiRAID with the Lustre FS clustered file system, which is already popular in HPC environments. Although many environments can benefit from a full-featured storage platform, others need a software RAID solution to combine NVMe SSDs for performance and reliability. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠https://www.linkedin.com/in/sfoskett/⁠ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: ⁠https://www.linkedin.com/in/acestryker/ Davide Villa, Chief Revenue Officer at Xinnor: https://www.linkedin.com/in/davide-villa-b1256a2/ Follow Utilizing Tech Website: ⁠⁠https://www.UtilizingTech.com/⁠⁠ X/Twitter: ⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠ Tech Field Day Website: ⁠⁠https://www.TechFieldDay.com⁠⁠ LinkedIn: ⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠ X/Twitter: ⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    32 мин.
  6. 07x03: Benchmarking AI Data Infrastructure with MLCommons

    17 ИЮН.

    07x03: Benchmarking AI Data Infrastructure with MLCommons

    Organizations seeking to build an infrastructure stack for AI training need to know how the data platform is going to perform. This episode of Utilizing Tech, presented by Solidigm, includes Curtis Anderson, Co-Chair of the Storage Working Group at MLCommons, discussing storage benchmarking with Ace Stryker and Stephen Foskett. MLCommons is an industry consortium seeking to improve AI solutions through joint engineering. The organization publishes the well-known MLPerf benchmark, which now includes practical metrics for storage solutions. The goal of MLPerf Storage is to answer the key question: Will a given data infrastructure support AI training of a given scale. The organization encourages storage vendors to run the benchmarks against their solutions to prove the suitability to support specific workloads. The AI industry is already shifting its focus from maximum scale and performance to more-balances infrastructure using alternative GPUs, accelerators, and even CPUs, and is increasingly concerned about price and environmental impact. The question of data preparation is also rising, and this generally uses a different CPU-focused solution. MLPerf Storage is focused on training today and will soon address data preparation, though this can be quite different for each data set. The next MLPerf Storage benchmark opens soon, and we encourage all data infrastructure companies to get involved and submit their own performance numbers. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠https://www.linkedin.com/in/sfoskett/⁠ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: ⁠https://www.linkedin.com/in/acestryker/ Guest: Curtis Anderson, Co-Chair MLCommons Storage Working Group: https://www.linkedin.com/in/curtis-anderson-174aa/ Follow Utilizing Tech Website: ⁠⁠https://www.UtilizingTech.com/⁠⁠ X/Twitter: ⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠ Tech Field Day Website: ⁠⁠https://www.TechFieldDay.com⁠⁠ LinkedIn: ⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠ X/Twitter: ⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    31 мин.
  7. 07x02: Building an AI Training Data Pipeline with VAST Data

    10 ИЮН.

    07x02: Building an AI Training Data Pipeline with VAST Data

    Model training seriously stresses data infrastructure, but preparing that data to be used is a much more difficult challenge. This episode of Utilizing Tech features Subramanian Kartik of VAST Data discussing the broad data pipeline with Jeniece Wnorowski of Solidigm and Stephen Foskett. The first step in building an AI model is collecting, organizing, tagging, and transforming data. Yet this data is spread around the organization in databases, data lakes, and unstructured repositories. The challenge of building a data pipeline is familiar to most businesses, since a similar process is required in analytics, business intelligence, observability, and simulation, but generative AI applications have an insatiable appetite for data. These applications also demand extreme levels of storage performance, and only flash SSDs can meet this demand. A side benefit is the improvements in power consumption and cooling versus hard disk drives, and this is especially true as massive SSDs come to market. Ultimately the success of generative AI will drive greater collection and processing of data on the inferencing side, perhaps at the edge, and this will drive AI data infrastructure further. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠https://www.linkedin.com/in/sfoskett/⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: ⁠https://www.linkedin.com/in/jeniecewnorowski/ Guest: Subramanian Kartik, Ph. D, Global Systems Engineering Lead at VAST Data: https://www.linkedin.com/in/subramanian-kartik-ph-d-1880835/ Follow Utilizing Tech Website: ⁠⁠https://www.UtilizingTech.com/⁠⁠ X/Twitter: ⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠ Tech Field Day Website: ⁠⁠https://www.TechFieldDay.com⁠⁠ LinkedIn: ⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠ X/Twitter: ⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    31 мин.
  8. 07x01: Proving the Performance of Solidigm SSDs at StorageReview

    3 ИЮН.

    07x01: Proving the Performance of Solidigm SSDs at StorageReview

    Analysts and press spend a lot of time talking about specs and performance numbers, so it's always a treat when we get to talk to people who are testing and using these products. This episode of Utilizing Tech is focused on AI Data Infrastructure and features Jordan Ranous from StorageReview and is co-hosted by Stephen Foskett and Ace Stryker from our sponsor, Solidigm. StorageReview has constricted an experimental environment focused on astrophotography as a way to demonstrate AI applications in challenging edge environments. Their setup included a ruggedized Dell server, NVIDIA GPU, and Solidigm SSDs. This is the same sort of setup found at edge compute environments in retail, manufacturing, and remote use cases. StorageReview benchmarks storage devices by profiling real-world applications and building representative infrastructure to test. When it comes to GPUs, the goal is to keep these expensive processors operating at maximum capacity through optimal network and storage throughput. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: https://www.linkedin.com/in/acestryker/ Guest: Jordan Ranous, AI, Hardware, & Advanced Workloads Specialist at StorageReview.com: https://www.linkedin.com/in/jranous/ Follow Utilizing Tech Website: ⁠https://www.UtilizingTech.com/⁠ X/Twitter: ⁠https://www.twitter.com/UtilizingTech ⁠ Tech Field Day Website: ⁠https://www.TechFieldDay.com⁠ LinkedIn: ⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠ X/Twitter: ⁠https://www.Twitter.com/TechFieldDay ⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

    36 мин.
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Welcome to Utilizing Tech, the podcast about emerging technology from Tech Field Day, part of The Futurum Group. Season 7 is presented by Solidigm and focuses on the question of AI Data Infrastructure and how that infrastructure is important for the future of artificial intelligence. Season 7: AI Data Infrastructure presented by Solidigm Season 6: Utilizing AI Season 5: Utilizing Edge Computing Season 4: Utilizing CXL Season 1-3: Utilizing AI

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