Artwork

محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel 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
Player FM - برنامه پادکست
با برنامه Player FM !

Defeating Data Gravity: How Hammerspace Powers AI Anywhere

19:08
 
اشتراک گذاری
 

Manage episode 503219766 series 3499431
محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel 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

Interested in being a guest? Email us at [email protected]

The digital transformation journey toward AI implementation presents enterprises with a fundamental challenge: leveraging decades of data stored across disconnected silos. Unlike early AI pioneers who built purpose-designed infrastructure from scratch, most organizations must work with existing investments while meeting the unique demands of artificial intelligence workloads.
Hammerspace tackles this challenge head-on by flipping the traditional "data gravity" paradigm. While IT has historically moved compute to where data resides, AI requires the opposite—bringing distributed enterprise data to GPUs and models that may exist elsewhere. Through an innovative approach that synchronizes metadata across environments, Hammerspace creates a unified data plane that makes information queryable and accessible without initially moving massive datasets.
What sets this solution apart is its integration with Linux kernels, eliminating dependence on proprietary systems. When data movement becomes necessary, it happens intelligently at the file level, allowing organizations to selectively transfer only what's needed based on specific attributes rather than copying entire directories. This granular control preserves governance while dramatically reducing unnecessary data movement costs.
The approach has gained significant traction, evidenced by Hammerspace's recent $100 million funding round led by Altimeter Capital—investors known for backing innovative technology disruptors like Uber, NVIDIA, and Meta. Even cloud providers with substantial GPU investments recognize the value of technologies that enable data access for AI workloads, marking a shift in how these platforms approach customer data.
Looking toward future challenges, Hammerspace has launched the Open Flash Platform Initiative, bringing together industry partners to develop infrastructure solutions addressing the looming power and cooling constraints that threaten sustainable AI growth. By reimagining how data flows in the enterprise, Hammerspace is helping organizations transform existing information assets into fuel for AI innovation.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

فصل ها

1. Introduction to Hammerspace (00:00:00)

2. Enterprise AI Data Challenges (00:01:57)

3. GPU Gravity and Data Movement (00:05:39)

4. Hammerspace's Unique Approach (00:07:30)

5. Linux-Based Data Platform Solution (00:09:53)

6. Customer Success and Funding (00:14:00)

7. Enterprise AI Focus and Open Flash (00:16:40)

499 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 503219766 series 3499431
محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel 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

Interested in being a guest? Email us at [email protected]

The digital transformation journey toward AI implementation presents enterprises with a fundamental challenge: leveraging decades of data stored across disconnected silos. Unlike early AI pioneers who built purpose-designed infrastructure from scratch, most organizations must work with existing investments while meeting the unique demands of artificial intelligence workloads.
Hammerspace tackles this challenge head-on by flipping the traditional "data gravity" paradigm. While IT has historically moved compute to where data resides, AI requires the opposite—bringing distributed enterprise data to GPUs and models that may exist elsewhere. Through an innovative approach that synchronizes metadata across environments, Hammerspace creates a unified data plane that makes information queryable and accessible without initially moving massive datasets.
What sets this solution apart is its integration with Linux kernels, eliminating dependence on proprietary systems. When data movement becomes necessary, it happens intelligently at the file level, allowing organizations to selectively transfer only what's needed based on specific attributes rather than copying entire directories. This granular control preserves governance while dramatically reducing unnecessary data movement costs.
The approach has gained significant traction, evidenced by Hammerspace's recent $100 million funding round led by Altimeter Capital—investors known for backing innovative technology disruptors like Uber, NVIDIA, and Meta. Even cloud providers with substantial GPU investments recognize the value of technologies that enable data access for AI workloads, marking a shift in how these platforms approach customer data.
Looking toward future challenges, Hammerspace has launched the Open Flash Platform Initiative, bringing together industry partners to develop infrastructure solutions addressing the looming power and cooling constraints that threaten sustainable AI growth. By reimagining how data flows in the enterprise, Hammerspace is helping organizations transform existing information assets into fuel for AI innovation.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

فصل ها

1. Introduction to Hammerspace (00:00:00)

2. Enterprise AI Data Challenges (00:01:57)

3. GPU Gravity and Data Movement (00:05:39)

4. Hammerspace's Unique Approach (00:07:30)

5. Linux-Based Data Platform Solution (00:09:53)

6. Customer Success and Funding (00:14:00)

7. Enterprise AI Focus and Open Flash (00:16:40)

499 قسمت

All episodes

×
 
Loading …

به Player FM خوش آمدید!

Player FM در سراسر وب را برای یافتن پادکست های با کیفیت اسکن می کند تا همین الان لذت ببرید. این بهترین برنامه ی پادکست است که در اندروید، آیفون و وب کار می کند. ثبت نام کنید تا اشتراک های شما در بین دستگاه های مختلف همگام سازی شود.

 

راهنمای مرجع سریع

در حین کاوش به این نمایش گوش دهید
پخش