Supermicro steps up with EDSFF All-Flash NVMe Optimized Storage

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Today Supermicro launched the industry’s first family of server and storage systems that support EDSFF (Enterprise and Datacenter Storage Form Factor) NVMe drives. EDSFF is the first industry-standard all-flash NVMe specification optimized for storage; it propels NVMe to the next level with higher density, improved manageability, and optimal thermal efficiency. EDSFF builds on NVMe capabilities delivering six times more throughput and seven times latency reduction over traditional flash storage. It works with both long (E1.L) and short (E1.S) drives and many drive manufacturers support EDSFF, giving customers broader storage options with up to one or a half petabyte density in 1U. "Supermicro is the first to market with server and storage systems that support EDSFF,” said Charles Liang, President and CEO of Supermicro. “Offering the industry’s most extensive line of NVMe, Hybrid NVMe, and SATA systems, the addition of EDSFF continues our NVMe market-leadership position. These optimized NVMe drives will support up to 32 hot-swap drives in 1U, which is ideal for the highest performing workloads or storage specific software optimized for IOPS. EDSFF establishes a common form factor we believe will be predominant in the future.” Learn more: http://supermicro.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Tecnologia

© 2019 Supermicro®
SUPERMICRO CONFIDENTIAL
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© 2019 Supermicro®
We Keep IT Green™
Supermicro Expands NVMe Leadership with EDSFF
Jim Sangster
Sr. Director of Product Marketing
Supermicro
Confidential – Press Embargo Until June 25, 6:30am Pacific Time

© 2019 Supermicro®
SUPERMICRO CONFIDENTIAL
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Leadership in NVMe Storage
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Supermicro was an early adopter and promoter of NVMe storage
NVMe unleashes the true potential of SSDs, no HBAs based on SAS/SATA legacy
storage interfaces
Up to 7x reduction in latency
Up to 6x gains in throughput
Supermicro was first-to-market with hot-pluggable NVMe products
The broadest NVMe product line in the industry
Performance optimized systems (IOPS/GB)
Capacity optimized systems (GB/Watt)
A broad portfolio of native NVMe systems
Hybrid NVMe offered across a majority of Supermicro’s portfolio
Confidential – Press Embargo Until June 25, 6:30am Pacific Time

© 2019 Supermicro®
SUPERMICRO CONFIDENTIAL
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Expanding Our NVMe Portfolio with EDSFF
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Why EDSFF?
The first open, industry standard design for NVMe
Broad support enables customers to multi-source
Builds on the performance benefits of NVMe
Data Center optimized for 1U & 2U chassis
Easy access to user with hot-pluggable support
High capacity and density
Optimal cooling and efficiency
Two primary form factors
E1.L (Long) – 1U x 318.75mm
E1.S (Short) – 1U x 111.49mm
Confidential – Press Embargo Until June 25, 6:30am Pacific Time

© 2019 Supermicro®
SUPERMICRO CONFIDENTIAL
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1U Petascale E1.L & JBOF Systems
1U Petascale E1.L
• 32 E1.L EDSFF drives in 1U
• Individual SSD power cycling
• 2nd Gen Intel® Xeon® Scalable
processors
• Up to 6TB memory in 24 DIMMs
• Intel® Optane™ DC persistent
memory support
1U Petascale JBOF
• 32 E1.L EDSFF drives in 1U
• Individual SSD power cycling
• Supports up to 8 host systems
Capacity Optimized
Confidential – Press Embargo Until June 25, 6:30am Pacific Time

© 2019 Supermicro®
SUPERMICRO CONFIDENTIAL
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1U Petascale E1.S System
1U Petascale E1.S
• 32 E1.S EDSFF drives in 1U
• Individual SSD power cycling
• 2nd Gen Intel® Xeon® Scalable
processors
• Up to 6TB memory in 24 DIMMs
• Intel® Optane™ DC persistent
memory support
• 30” chassis depth
Capacity Optimized
Confidential – Press Embargo Until June 25, 6:30am Pacific Time

© 2019 Supermicro®
SUPERMICRO CONFIDENTIAL
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BigTwin™ E1.S SuperServer
BigTwin E1.S
• 4 nodes in 2U multi-node server
• 10 E1.S EDSFF drives per node
• Plus 2 M.2 drives per node
• Dual 2nd Gen Intel® Xeon®
Scalable processors per node
• Up to 6TB memory in 24 DIMMs
per node
• Intel® Optane™ DC persistent
memory support
• Performance optimized
CPU:drive ratio
Performance Optimized
Front View
Rear
Confidential – Press Embargo Until June 25, 6:30am Pacific Time

© 2019 Supermicro®
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Continued Leadership & Choice
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Confidential – Press Embargo Until June 25, 6:30am Pacific Time

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State of ARM-based HPC

inside-BigData.com

Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration. Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads. Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Versal Premium ACAP for Network and Cloud Acceleration

inside-BigData.com

In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently. The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined. Watch the video: https://wp.me/p3RLHQ-lBX Learn more: https://www.zettar.com/ and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

inside-BigData.com

In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era. "While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation." Watch the video: Learn more: http://amd.com and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Scaling TCO in a Post Moore's Era

inside-BigData.com

In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming." Watch the video: https://wp.me/p3RLHQ-lvu Learn more: https://developer.nvidia.com/rapids and https://www.xsede.org/for-users/ecss/ecss-symposium Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter

CUDA-Python and RAPIDS for blazing fast scientific computing

inside-BigData.com

In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC. "The motivation for this was to overcome four key problems faced by new HPC users: * The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course. * A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system. * That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using. * That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this. The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered." Learn more: https://github.com/colinsauze/pi_cluster and https://fosdem.org/2020/schedule/events/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Introducing HPC with a Raspberry Pi Cluster

inside-BigData.com

In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects. "The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future." Watch the video: https://wp.me/p3RLHQ-luc Learn more: https://extremecomputingtraining.anl.gov/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Overview of HPC Interconnects

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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

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Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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1. © 2019 Supermicro® SUPERMICRO CONFIDENTIAL 3 . 0 © 2019 Supermicro® We Keep IT Green™ Supermicro Expands NVMe Leadership with EDSFF Jim Sangster Sr. Director of Product Marketing Supermicro Confidential – Press Embargo Until June 25, 6:30am Pacific Time

2. © 2019 Supermicro® SUPERMICRO CONFIDENTIAL 3 . 0 Leadership in NVMe Storage 2 Supermicro was an early adopter and promoter of NVMe storage NVMe unleashes the true potential of SSDs, no HBAs based on SAS/SATA legacy storage interfaces Up to 7x reduction in latency Up to 6x gains in throughput Supermicro was first-to-market with hot-pluggable NVMe products The broadest NVMe product line in the industry Performance optimized systems (IOPS/GB) Capacity optimized systems (GB/Watt) A broad portfolio of native NVMe systems Hybrid NVMe offered across a majority of Supermicro’s portfolio Confidential – Press Embargo Until June 25, 6:30am Pacific Time

3. © 2019 Supermicro® SUPERMICRO CONFIDENTIAL 3 . 0 Expanding Our NVMe Portfolio with EDSFF 3 Why EDSFF? The first open, industry standard design for NVMe Broad support enables customers to multi-source Builds on the performance benefits of NVMe Data Center optimized for 1U & 2U chassis Easy access to user with hot-pluggable support High capacity and density Optimal cooling and efficiency Two primary form factors E1.L (Long) – 1U x 318.75mm E1.S (Short) – 1U x 111.49mm Confidential – Press Embargo Until June 25, 6:30am Pacific Time

4. © 2019 Supermicro® SUPERMICRO CONFIDENTIAL 3 . 0 4 1U Petascale E1.L & JBOF Systems 1U Petascale E1.L • 32 E1.L EDSFF drives in 1U • Individual SSD power cycling • 2nd Gen Intel® Xeon® Scalable processors • Up to 6TB memory in 24 DIMMs • Intel® Optane™ DC persistent memory support 1U Petascale JBOF • 32 E1.L EDSFF drives in 1U • Individual SSD power cycling • Supports up to 8 host systems Capacity Optimized Confidential – Press Embargo Until June 25, 6:30am Pacific Time

5. © 2019 Supermicro® SUPERMICRO CONFIDENTIAL 3 . 0 5 1U Petascale E1.S System 1U Petascale E1.S • 32 E1.S EDSFF drives in 1U • Individual SSD power cycling • 2nd Gen Intel® Xeon® Scalable processors • Up to 6TB memory in 24 DIMMs • Intel® Optane™ DC persistent memory support • 30” chassis depth Capacity Optimized Confidential – Press Embargo Until June 25, 6:30am Pacific Time

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Supermicro steps up with EDSFF All-Flash NVMe Optimized Storage

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