Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems

Gradient Dissent: Conversations on AI

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محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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Inside Deloitte Ventures: Strategic Corporate VC Insights on Scaling Startups and Vertical AI Trends 34:07

16 روز پیش34:07

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34:07

In this insightful episode of The Innovators & Investors Podcast, host Kristian Marquez sits down with Jay Crone, Managing Director and Venture Capitalist at Deloitte Ventures, to explore the firm’s strategic approach to corporate venture capital. Jay shares Deloitte Ventures’ investment thesis, focusing on supporting innovative Canadian startups at Series A and B stages across key sectors like cybersecurity, climate tech, fintech, future of work, health tech, and AI. Listeners will gain an inside look at how Deloitte leverages its vast network of 1,500 partners and 15,000 employees to source deals and add value beyond capital by helping startups navigate Deloitte’s complex ecosystem and access enterprise clients. Jay also discusses his diverse career journey—from government and investment banking to entrepreneurship and corporate VC—and how those experiences shape his investment philosophy. The episode delves into Deloitte’s due diligence process, the importance of founder relationships, and the firm’s strategic role as a co-investor. Jay highlights emerging trends, particularly the promise of vertical AI tailored to industry-specific needs, and shares his bullish outlook on fintech innovations like stablecoins and cross-border payments. He offers candid advice for entrepreneurs on risk-taking and aligning business vision with funding goals. This episode is a must-listen for founders, investors, and anyone interested in the evolving landscape of corporate venture capital and innovation in Canada. Learn more about Jay's work at https://www.deloitte.com/ca/en/services/program/ventures.html Connect with Jay on LinkedIn at https://www.linkedin.com/in/jaycrone/ Think you'd be a great guest on the show? Apply at https://finstratmgmt.com/innovators-investors-podcast/ Want to learn more about Kristian Marquez's work? Check out his website at https://finstratmgmt.com…

۲ years پیش 1:00:10

MP3•خانه قسمت

On this episode, we’re joined by Andrew Feldman, Founder and CEO of Cerebras Systems. Andrew and the Cerebras team are responsible for building the largest-ever computer chip and the fastest AI-specific processor in the industry.

We discuss:

- The advantages of using large chips for AI work.

- Cerebras Systems’ process for building chips optimized for AI.

- Why traditional GPUs aren’t the optimal machines for AI work.

- Why efficiently distributing computing resources is a significant challenge for AI work.

- How much faster Cerebras Systems’ machines are than other processors on the market.

- Reasons why some ML-specific chip companies fail and what Cerebras does differently.

- Unique challenges for chip makers and hardware companies.

- Cooling and heat-transfer techniques for Cerebras machines.

- How Cerebras approaches building chips that will fit the needs of customers for years to come.

- Why the strategic vision for what data to collect for ML needs more discussion.

Resources:

Andrew Feldman - https://www.linkedin.com/in/andrewdfeldman/

Cerebras Systems - https://www.linkedin.com/company/cerebras-systems/

Cerebras Systems | Website - https://www.cerebras.net/

Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.

#OCR #DeepLearning #AI #Modeling #ML

126 قسمت

#Tech #Lukas Biewald #Business #Machine Learning

Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems

Gradient Dissent: Conversations on AI

17 subscribers

published ۲ years پیش

اشتراک گذاری

MP3•خانه قسمت

We discuss:

- The advantages of using large chips for AI work.

- Cerebras Systems’ process for building chips optimized for AI.

- Why traditional GPUs aren’t the optimal machines for AI work.

- Why efficiently distributing computing resources is a significant challenge for AI work.

- How much faster Cerebras Systems’ machines are than other processors on the market.

- Reasons why some ML-specific chip companies fail and what Cerebras does differently.

- Unique challenges for chip makers and hardware companies.

- Cooling and heat-transfer techniques for Cerebras machines.

- How Cerebras approaches building chips that will fit the needs of customers for years to come.

- Why the strategic vision for what data to collect for ML needs more discussion.

Resources:

Andrew Feldman - https://www.linkedin.com/in/andrewdfeldman/

Cerebras Systems - https://www.linkedin.com/company/cerebras-systems/

Cerebras Systems | Website - https://www.cerebras.net/

#OCR #DeepLearning #AI #Modeling #ML

126 قسمت

#Tech #Lukas Biewald #Business #Machine Learning

همه قسمت ها

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16 روز پیش42:42

42:42

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1:09:44

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49:36

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49:58

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