In this episode, we welcome Lead Principal Technologist Hari Kannan to cut through the noise and tackle some of the biggest myths surrounding AI data management and the revolutionary FlashBlade//EXA platform. With GPU shipments now outstripping CPUs, the foundation of modern AI is shifting, and legacy storage architectures are struggling to keep up. Hari dives into the implications of this massive GPU consumption, setting the stage for why a new approach is desperately needed for companies driving serious AI initiatives.
Hari dismantles three critical myths that hold IT leaders back. First, he discusses how traditional storage is ill-equipped for modern AI's millions of small, concurrent files, where metadata performance is the true bottleneck—a problem FlashBlade//EXA solves with its metadata-data separation and single namespace. Second, he addresses the outdated notion that high-performance AI is file-only, highlighting FlashBlade//EXA's unified, uncompromising delivery of both file and object storage at exabyte scale and peak efficiency. Finally, Hari explains that GPUs are only as good as the data they consume, countering the belief that only raw horsepower matters. FlashBlade//EXA addresses this by delivering reliable, scalable throughput, efficient DirectFlash Modules up to 300 TB, and the metadata performance required to keep expensive GPUs fully utilized and models training faster.
Join us as we explore the blind spots in current AI data strategies during our "Hot Takes" segment and recount a favorite FlashBlade success story. Hari closes with a compelling summary of how Pure Storage's complete portfolio is perfectly suited to provide the complementary data management essential for scaling AI. Tune in to discover why FlashBlade//EXA is the non-compromise, exabyte-scale solution built to keep your AI infrastructure running at its full potential.
For more information, visit: https://www.pure.ai/flashblade-exa.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
04:30 Primer on FlashBlade
11:32 Stat of the Episode on GPU Shipments
13:25 What is FlashBlade//EXA
18:58 Myth #1: Traditional Storage Challenges for AI Data
22:01 Myth #2: AI Workloads are not just File-based
26:42: Myth #3: AI Needs more than just GPUs
31:35 Hot Takes Segment
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In this episode, we welcome Lead Principal Technologist Hari Kannan to cut through the noise and tackle some of the biggest myths surrounding AI data management and the revolutionary FlashBlade//EXA platform. With GPU shipments now outstripping CPUs, the foundation of modern AI is shifting, and legacy storage architectures are struggling to keep up. Hari dives into the implications of this massive GPU consumption, setting the stage for why a new approach is desperately needed for companies driving serious AI initiatives.
Hari dismantles three critical myths that hold IT leaders back. First, he discusses how traditional storage is ill-equipped for modern AI's millions of small, concurrent files, where metadata performance is the true bottleneck—a problem FlashBlade//EXA solves with its metadata-data separation and single namespace. Second, he addresses the outdated notion that high-performance AI is file-only, highlighting FlashBlade//EXA's unified, uncompromising delivery of both file and object storage at exabyte scale and peak efficiency. Finally, Hari explains that GPUs are only as good as the data they consume, countering the belief that only raw horsepower matters. FlashBlade//EXA addresses this by delivering reliable, scalable throughput, efficient DirectFlash Modules up to 300 TB, and the metadata performance required to keep expensive GPUs fully utilized and models training faster.
Join us as we explore the blind spots in current AI data strategies during our "Hot Takes" segment and recount a favorite FlashBlade success story. Hari closes with a compelling summary of how Pure Storage's complete portfolio is perfectly suited to provide the complementary data management essential for scaling AI. Tune in to discover why FlashBlade//EXA is the non-compromise, exabyte-scale solution built to keep your AI infrastructure running at its full potential.
For more information, visit: https://www.pure.ai/flashblade-exa.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
04:30 Primer on FlashBlade
11:32 Stat of the Episode on GPU Shipments
13:25 What is FlashBlade//EXA
18:58 Myth #1: Traditional Storage Challenges for AI Data
22:01 Myth #2: AI Workloads are not just File-based
26:42: Myth #3: AI Needs more than just GPUs
31:35 Hot Takes Segment
FlashStack: A Decade of Converged Infrastructure Innovation
The Pure Report
44 minutes 35 seconds
1 week ago
FlashStack: A Decade of Converged Infrastructure Innovation
This episode of the Pure Report features a conversation with Eugene McGrath, a nine-year veteran of Pure Storage and a Field Solution Architect. Our discussion delves into Gene’s diverse background, starting from his early days in IT racking and stacking servers at companies like Microsoft and Pixar, and how that hands-on experience shaped his career. We compare the evolution of his role and the industry, emphasizing the importance of a versatile skill set in the ever-changing tech landscape, particularly with his focus now on converged infrastructure solutions like FlashStack.
We then dive into the partnership between Pure Storage and Cisco, specifically around the FlashStack converged infrastructure solution. Gene explains why this decade-long collaboration works, attributing it to a shared philosophy of simplifying infrastructure and improving the customer lifecycle. Our conversation also touches on the recent shift in Cisco's mindset, with Pure Storage taking a more prominent role, including the recent Nutanix partnership announcement. We further explore the concepts of "Day Zero" and "Day One" challenges in infrastructure deployment, emphasizing how Cisco Validated Design and automation mitigate risks and accelerate implementation for customers.
Our discussion concludes with the "Hot Takes" segment, where Gene discusses the growing trends of "hypervisor fatigue" and the repatriation of workloads from the cloud due to cost and performance issues. He predicts a significant shift towards containerization as companies seek more agnostic and flexible approaches to their IT infrastructure. Gene also shares a memorable "oops" moment from his career, involving 3,000 servers racked upside down, and offers advice to his younger self about the explosion of data and the increasing importance of data management.
For more information, visit: https://www.purestorage.com/products/integrated-platforms/flashstack.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
04:55 Cisco and Pure Relationship
06:48 Stat of the Episode on Cloud Repatriation
12:35 Solving Day 0 and Day 1 Challenges
17:25 Using Cisco UCS in FlashStack
24:37 Cisco Validated Designs
26:54 Nutanix and Pure Partnership
32:35 Hot Takes Segment
The Pure Report
In this episode, we welcome Lead Principal Technologist Hari Kannan to cut through the noise and tackle some of the biggest myths surrounding AI data management and the revolutionary FlashBlade//EXA platform. With GPU shipments now outstripping CPUs, the foundation of modern AI is shifting, and legacy storage architectures are struggling to keep up. Hari dives into the implications of this massive GPU consumption, setting the stage for why a new approach is desperately needed for companies driving serious AI initiatives.
Hari dismantles three critical myths that hold IT leaders back. First, he discusses how traditional storage is ill-equipped for modern AI's millions of small, concurrent files, where metadata performance is the true bottleneck—a problem FlashBlade//EXA solves with its metadata-data separation and single namespace. Second, he addresses the outdated notion that high-performance AI is file-only, highlighting FlashBlade//EXA's unified, uncompromising delivery of both file and object storage at exabyte scale and peak efficiency. Finally, Hari explains that GPUs are only as good as the data they consume, countering the belief that only raw horsepower matters. FlashBlade//EXA addresses this by delivering reliable, scalable throughput, efficient DirectFlash Modules up to 300 TB, and the metadata performance required to keep expensive GPUs fully utilized and models training faster.
Join us as we explore the blind spots in current AI data strategies during our "Hot Takes" segment and recount a favorite FlashBlade success story. Hari closes with a compelling summary of how Pure Storage's complete portfolio is perfectly suited to provide the complementary data management essential for scaling AI. Tune in to discover why FlashBlade//EXA is the non-compromise, exabyte-scale solution built to keep your AI infrastructure running at its full potential.
For more information, visit: https://www.pure.ai/flashblade-exa.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
04:30 Primer on FlashBlade
11:32 Stat of the Episode on GPU Shipments
13:25 What is FlashBlade//EXA
18:58 Myth #1: Traditional Storage Challenges for AI Data
22:01 Myth #2: AI Workloads are not just File-based
26:42: Myth #3: AI Needs more than just GPUs
31:35 Hot Takes Segment
