Sorry, you need to enable JavaScript to visit this website.

SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA

Erich Haratsch

Senior Director

Marvell

rich Haratsch is the Senior Director of Architecture at Marvell, where he leads the architecture definition of SSD and storage controllers. Before joining Marvell, he worked at Seagate and LSI, focusing on SSD controllers. Earlier in his career, he contributed to multiple generations of HDD controllers at LSI and Agere Systems. Erich began his career at AT&T and Lucent Bell Labs, working on Gigabit Ethernet over copper, optical communications, and the MPEG-4 video standard. He is the author of over 40 peer-reviewed journal and conference papers and holds more than 200 U.S. patents. A Senior Member of IEEE, Erich earned his MS and PhD degrees from the Technical University of Munich, Germany.

Related Sessions

AI/ML

Storage Devices for the AI Data Center

The transformational launch of GPT-4 has accelerated the race to build AI data centers for large-scale training and inference. While GPUs and high-bandwidth memory are well-known critical components, the essential role of storage devices in AI infrastructure is often overlooked. This presentation will explore the AI processing pipeline within data centers, emphasizing the crucial role of storage devices such as SSDs in compute and storage nodes. We will examine the characteristics of AI workloads to derive specific requirements for flash storage devices and controllers.

Erich Haratsch
Senior Director
Marvell

Storage Devices for the AI Data Center

Submitted by Anonymous (not verified) on
The transformational launch of GPT-4 has accelerated the race to build AI data centers for large-scale training and inference. While GPUs and high-bandwidth memory are well-known critical components, the essential role of storage devices in AI infrastructure is often overlooked. This presentation will explore the AI processing pipeline within data centers, emphasizing the crucial role of storage devices such as SSDs in compute and storage nodes. We will examine the characteristics of AI workloads to derive specific requirements for flash storage devices and controllers.

Optimizing Storage Devices for AI Data Centers

Submitted by Anonymous (not verified) on

The transformational launch of GPT-4 has accelerated the race to build AI data centers for large-scale training and inference. While GPUs and high-bandwidth memory are well-known critical components, the essential role of storage devices in AI infrastructure is often overlooked. This presentation will explore the AI processing pipeline within data centers, emphasizing the crucial role of storage devices in both compute and storage nodes. We will examine the characteristics of AI workloads to derive specific requirements for storage devices and controllers
 

Subscribe to Erich Haratsch

Follow us on X

SDC 2025 is brought to you by SNIA. SNIA is an industry association committed to its mission of worldwide leadership developing and promoting architectures, standards, education and vendor-neutral collaboration.