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 Second, he addresses the outdated notion that high-performance AI is file-only, highlighting FlashBlade//EXA's unified, uncompromising delivery of both file and object storage at exabyte scale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
15 Architectural Decisions Series: Controller Architecture and Limited Error Paths
The Pure Report
33 minutes 25 seconds
3 months ago
15 Architectural Decisions Series: Controller Architecture and Limited Error Paths
Our series around Pure's fundamental design principles continues. Episode 3 discusses three key architectural decisions: stateless controllers, the second controller, and limited error paths. Hear from co-hosts JD Wallace and Andrew Miller about how stateless controllers mean no identity or state is stored within the controller itself, allowing for easy replacement and upgrades without downtime. This design philosophy simplifies maintenance, reduces support costs, and enables seamless technology migrations, allowing Pure customers to upgrade hardware generations without impacting business operations. This is a significant shift from older storage array methods that required complex, time-consuming manual processes and often led to downtime.
We then further explore the strategic decision behind having a second controller in an active-standby configuration, prioritizing consistent performance and uptime over maximizing raw performance from both controllers simultaneously. This approach ensures that performance remains stable even during failovers or planned upgrades, eliminating unpredictable results and reducing the need for constant monitoring by IT admins. By focusing on reliability and simplicity, Pure Storage aims to provide a "cloud-like" experience for on-prem and cloud connected storage, significantly reducing operational complexity and enabling faster adoption of new technologies and features. The Pure Report podcast is now available on video - bookmark the playlist at https://www.youtube.com/playlist?list=PL5d3ZupjTzE150O6sjbVLhrAP3kpC1QEm
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
