Tech Field Day Podcast

Sovereignty in AI means having the ability to choose, to choose what is done with proprietary data, choose what model and choose where AI operates.

This episode of the Tech Field Day podcast features Jonathan Bryce from the Cloud Native Computing Foundation (CNCF) discussing sovereign AI with Ron Pagani Jr and Alastair Cooke.

Sovereignty is often considered viewed as choosing which jurisdiction applies the rule of law, with the US CLOUD act making US owned or operated platforms globally subject to US law. Yet sovereignty also has the element of self-determination, the ability to choose where to store and use the unique data a company holds. 

Vitally, the ability control what data is handed to third party platforms and services. The ability to use open-weight AI models either on-premises or inside a cloud tenancy offers greater data control, using a hyperscale AI service offers different advantages. Sovereignty in AI is about having the choice to use the right tools and technologies.

CNCF Representative: Jonathan Bryce, Executive Director at the Cloud Native Computing Foundation

Panelists:

Ron Pagani Jr., Founder of Open Technology Partners

Hosts:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead for Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead at Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, President and Organizer of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow the Tech Field Day Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on the podcast page of the website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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We keep hearing about AI datacenters in space, and the incredible advances made with reusable space launch and solar power makes this seem feasible.

On this episode of the Tech Field Day Podcast, Ray Lucchesi, Scott Robohn, and Stephen Foskett discuss the challenges and benefits of orbital datacenters.

The discussion begins with the various issues facing datacenters in space: Launch cost, communications latency and bandwidth, reliability and service, radiation, power, and cooling.

Cisco MDS Representative:

Judd Pickett, Hyper Specialist for Cisco MDS

Hosts:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead for Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead at Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, President and Organizer of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow the Tech Field Day Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on the podcast page of the website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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We keep hearing about AI datacenters in space, and the incredible advances made with reusable space launch and solar power makes this seem feasible.

On this episode of the Tech Field Day Podcast, Ray Lucchesi, Scott Robohn, and Stephen Foskett discuss the challenges and benefits of orbital datacenters.

The discussion begins with the various issues facing datacenters in space: Launch cost, communications latency and bandwidth, reliability and service, radiation, power, and cooling.

Panelists:

Ray Lucchesi, Silverton Consulting

Scott Robohn, CEO of Solutional

Hosts:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead for Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead at Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, President and Organizer of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow the Tech Field Day Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on the podcast page of the website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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Adding generative AI to enterprise applications is exposing up to 20 years of technical debt in enterprise IT infrastructure and applications.

This episode of the Tech Field Day podcast features Sabina Anja from Broadcom's VMware Cloud Foundation team discussing the impact of AI with Andy Banta, Ron Pagani Jr., and Alastair Cooke.

The panel argues that the public cloud never eliminated technical debt, merely hid it behind a bill, and that AI workloads are now surfacing the same question of how quickly organizations can move from idea to production.

Part of the problem is an "immortal VM" culture where decades-old virtual machines persist unchanged, creating a mismatch with ephemeral agentic AI workloads that must coexist with legacy systems on the same infrastructure. Compounding drivers include AI itself generating more code and debt through agentic coding, the disconnect between developers who build infrastructure informally and finance/ops teams locked into three-to-five-year hardware cycles even as GPU, RAM, and SSD economics shift within a year, and the "best of breed" fallacy of buying excellent components without solving integration and orchestration.

The panel's proposed remedy centres on treating infrastructure and process as inseparable, starting from clear business goals, building elastic software-defined resource pools that can be dynamically allocated via automation and CI/CD, and giving developers more direct, API-driven access to infrastructure.

Sabina likened today's GPU underutilization to mainframe time-sharing, and Alastair using a "Toyota Corolla vs. tuned AMG" analogy to argue for differentiating generic from purpose-built AI infrastructure.

Broadcom Representative: Sabina Anja, Chief Technologist for VMware Cloud Foundation at Broadcom

Panelists:

⁠Andy Banta⁠, Consultant

⁠Ron Pagani Jr.⁠⁠, Founder of Open Technology Partners

Hosts:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead for Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead at Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, President and Organizer of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow the Tech Field Day Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on the podcast page of the website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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Unstructured corporate data needs some help to be ready for AI agents and inference.

This episode of the Tech Field Day podcast features Aron Brand from CTERA discussing unstructured preparation with Andy Banta, Barton George, and Alastair Cooke.

The first challenge is to find data where it resides and understand what you have in your file shares and object stores. Unlike a data lake, CTERAS can your data where it is to inherit permissions and changes as they occur. Tagging remains an important part of identifying data contents. Adding automated text extraction, audio and video transcription, and summarization allow automated tagging while the extracted data is useful for AI too.

CTERA believes the original file system is the right place for these reusable pieces of derived data is alongside the original files rather than locked in a proprietary platform.

CTERA Representative:

Aron Brand, CTO of CTERA

Panelists:

⁠Andy Banta⁠, Consultant

Barton George⁠, Founder of 808 Labs

Hosts:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead for Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead at Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, President and Organizer of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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Are multi-terabyte GPUs and massive frontier models really the answer to enterprise AI, or are we hitting a hard wall of soaring memory costs and power constraints?

In this episode of the Tech Field Day Podcast, host Alastair Cooke sits down with technical experts Ron Pagani Jr., Andy Banta, and Brian Martin to examine whether brute-force hardware scaling remains sustainable.

The panel debates scale-up vs. scale-out architectures, emphasizing how smart software optimizations—such as persistent KV caching (MinIO MemKV, Solidigm) and intelligent data layers (CTERA)—can eliminate redundant GPU computation and lower costs.

They also explore agentic microservices, power and cooling bottlenecks, and why right-sizing AI models for production is critical for achieving real-world enterprise ROI.

Panelists:

Andy Banta, Consultant

Brian Martin, AI and Data Center Lead at Signal65

Ron Pagani Jr.⁠, Founder of Open Technology Partners

Hosts:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead for Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Event Lead at Tech Field Day

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, President and Organizer of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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As the explosive rise of AI workloads brings massive GPU clusters back to on-premises environments and surging neo-clouds, the race to maximize hardware utilization has made multi-tenancy an absolute necessity.

In this episode of the Tech Field Day Spotlight Podcast, host Tom Hollingsworth sits down with networking experts Scott Robohn, Ed Weadon, and Netris CEO and Cofounder Alex Saroyan to dissect the hidden complexities of modern AI infrastructure. Managing thousands of GPUs means navigating dense networking architectures like quad-planes, massive power restrictions, and the intricate blending of Ethernet and InfiniBand environments.

Alex reveals how Netris solves these scaling bottlenecks from Day 0 using digital twin simulations and automated network abstraction, allowing operators to dynamically isolate cluster resources for different tenants through simple, unified API calls.

Netris Representative:

Alex Saroyan, Cofounder and CEO of Netris

Scott Robohn, CEO of Solutional

Ed Weadon, Network Engineer

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Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more information on upcoming and current event coverage ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠visit our website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Imagine walking into the office, grabbing your morning coffee, and realizing your network dashboard is perfectly green because an AI agent silently resolved every issue while you slept.

In this episode of the Tech Field Day Podcast, Imagine walking into the office, grabbing your morning coffee, and realizing your network dashboard is perfectly green because an AI agent silently resolved every issue while you slept.

In this Spotlight episode of the Tech Field Day Podcast presented by HPE Networking, host Tom Hollingsworth sits down with network practitioners Keith Parsons and Mark Houtz, alongside Hewlett Packard Enterprise’s Sunalini Sankhavaram, to explore the paradigm shift from reactive, AI-driven troubleshooting to proactive, self-driving networks.

They discuss the critical issue of trust in automation, detailing how HPE's Marvis progresses from "driver-assist" recommendations to fully autonomous remediation. From preventing broadcast storms in hospitals to lightening the load for budget-constrained IT teams, discover how agentic AI and digital twins are reshaping the future of enterprise operations without taking away the essential human in the loop.

This and more on the Tech Field Day Podcast Spotlight presented by HPE Networking.

Try Mist AI: https://www.hpe.com/us/en/mist-ai.html

HPE Networking: http://hpe.com/networking

HPE Representative:

Sunalini Sankhavaram, VP of Product Management at HPE

Keith Parsons, Network Engineer

Mark Houtz, Network Engineer

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Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more information on upcoming and current event coverage ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠visit our website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Enterprises are increasingly turning to open networking and they need guidance to ensure the right choices are being made. A great partner can ease the transition.

In this episode of the Tech Field Day podcast, brought to you by Cisco, Tom Hollingsworth is joined by Scott Robon, Ryan Booth, and Cisco’s Surbhi Paul explore how AI infrastructure demands are pushing organizations to rethink their network architectures.

The consensus is that while SONiC was once primarily a hyperscaler and experimental technology, it has matured significantly and is now appearing in real enterprise and U.S. government deployments. Cisco’s position is to meet customers where they are, supporting both their established NX-OS/ACI platforms and Sonic on Nexus 9K hardware, giving organizations the flexibility to shift software strategies without replacing physical infrastructure.

Open networking isn’t a one-size-fits-all solution. It requires honest assessment of a team’s internal skill set and operational maturity. Cisco frames its SONiC offering around three pillars: the Cisco 8000 series for hyperscale and web-scale use cases, the Nexus 9K for enterprise AI fabrics, and Nexus Hyperfabric for organizations that want the benefits of SONiC without the complexity of managing it themselves. Cisco differentiates itself by backing Sonic deployments with 24/7 TAC support and lifecycle management tools, bridging the gap between open-source flexibility and the reliability enterprises depend on.

Panelists:

Cisco Representative: Surbhi Paul, Product Leader at Cisco

Scott Robohn, CEO of Solutional

Ryan Booth, AI Consultant and Architect

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Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more information on upcoming and current event coverage ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠visit our website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Learn more about AI Infrastructure Field Day 5 here.

Think you can just buy more GPUs to solve your AI infrastructure problems? Think again.

In this episode of the Tech Field Day Podcast, recorded live on-site at AI Infrastructure Field Day 5, host Alastair Cooke sits down with industry experts Ray Lucchesi, Frederic Van Haren, and Brandon Whichard to discuss why the endless race for new hardware is hitting a wall.

With supply chain shortages and massive power demands making upgrades difficult, companies must shift their focus toward optimizing the technology they already own. The panel explores how clever software tools, smaller foundation models, and efficient token management can squeeze maximum performance out of existing data centers.

The panel explores the real secret to scaling AI lies in smart software practices rather than just buying more chips.