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 Second, he addresses the outdated notion that high-performance AI is file-only, highlighting FlashBlade//EXA's unified, uncompromising delivery of both file and object storage at exabyte scale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
All content for The Pure Report is the property of Pure Storage and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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
The Cyber Guys: How to Prepare, Respond, and Recover to Keep Your Business Running
The Pure Report
48 minutes 51 seconds
1 month ago
The Cyber Guys: How to Prepare, Respond, and Recover to Keep Your Business Running
October is Cybersecurity awareness month. Get ready to explore the imperative of cyber resiliency in today's digital landscape, focusing on strategies for robust data infrastructures and shared responsibility to plan and recover from cyber attacks. Join Pure Storage cyber experts Scott Taylor and Jason Walker as they delve into the critical aspects of cyber resilience. Learn best practices around how to prepare your organization for potential threats, respond effectively during an attack, and recover swiftly to maintain business continuity. We explore essential hygiene factors, the role of SIEM technology, and the importance of a layered resilience strategy, including insights from key alliance partners like Varonis and Superna.
We also cover ways that Pure Storage empowers users to withstand cyberattacks and accelerate both cyber and disaster recovery. Hear best practices on how to protect data from ransomware and cyber threats through high-performance, layered resilience, robust data security and immutability, and seamless security integrations. Scott and Jason also tackle common myths and misconceptions about cyber resilience, providing actionable advice to help IT leaders identify and address blind spots. Tune in for hot takes on industry trends and a "Storage Confessions" segment where listeners can share their own screw-up stories.
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
