COMPANY
About Zettar
COMPANY
company overview
Zettar Inc. (Zettar) builds and delivers a unified, simple, scalable, efficient, and versatile software data mover. The product is ideal for distributed data-intensive engineering and science workloads such as for genomics, life sciences, Oil & Gas, AI, machine learning, transporting data for large-scale IoT deployments, autonomous vehicle fleets, smart cities, EDA, Media & Entertainment Studio post-production, light sources (large lasers), accelerators, large telescopes. It is excellent for tackling today’s ever-growing edge to core/cloud use cases. It can also dramatically improve the Environmental, Social, and Governance (ESG) benefits of composable/disaggregated infrastructures. It does so by endowing the key devices DPU/IPU with a wide spectrum of built-in data movement capabilities , making them far more effective.
The Zettar team has rich first-hand solution architecture experience in helping tier-1 customers in the biopharmaceutical, Oil & Gas, Media & Entertainment Studios, and supercomputing centers in different countries. As a result, even as a software company, the Zettar engineering team has a deep and comprehensive understanding and expertise of the entire infrastructure stack, storage, computing, and networking (including network security). For example, the Zettar Engineering team members are active contributors to the most modern storage freeware benchmark elbencho.
Furthermore, from the engagement supporting the highly ambitious data movement requirements (>= 1Tbps point-to-point by 2024) of Linac Coherent Light Source II (LCLS-II), a premier U.S. DOE Exascale Computing preparation project hosted at the SLAC National Accelerator Laboratory in Menlo Park, California, all members have gained extensive experience applying the U.S. DOE Exascale Initiative’s “co-design” principle – integrated consideration of storage, computing, networking, and concurrent software for optimal performance. Thus, Zettar is a genuinely engineering-centric software company. Hence, working with Zettar will help your business to gain such valuable experience as well.
news
Zettar helps enterprises overcome data gravity by providing them the ability of at-scale data movement, on-prem, in the cloud, or any combination thereof, across any distance. We are trusted by the world’s leading companies, well-known national labs and supercomputing centers, and industry-leading partners. You are invited to review the recent Zettar news.
Intel/Zettar Healthcare and Life Sciences Podcast
Listen to the podcast: How Cloud to Edge Technology Helps Handle the Immense Amount of Data Generated by Practitioners
Speaker:
Dr. Michael J. McManus, Intel Corporation, and Dr. Chin Fang, CEO, Zettar Inc.
January 17, 2023, Intel Healthcare and Life Sciences podcast
6X ESG Benefits via DPU/IPU with an Embedded Unified Data Mover
Speakers:
Dr. Chin Fang, CEO, Zettar Inc.
February 15, 2023, HPC-AI Advisory Council 14th Stanford Conference
Watch Video Presentation: Accelerating At-Scale AI Data Migration
Speaker:
Dr. Chin Fang, CEO, Zettar Inc.
Monday, December 15, 2021. NVIDIA VIRTUAL THEATER
Zettar to Demonstrate Data Migration with NVIDIA DPU at SC22
Watch Video Presentation: Data Migration with NVIDIA BlueField DPUs
Speaker:
Dr. Chin Fang, CEO, Zettar Inc.
December 14, 2022. NVIDIA SC22 Virtual Theater
Zettar and U.S. DOE Energy Science Network presented at 2021 Rice Oil & Gas High-Performance Computing Conference, Technical Program
Watch Video Presentation: High-Performance Data Movement Services – DTNaaS
Speaker:
Dr. Chin Fang, CEO, Zettar Inc. and Dr. Ezra Kissel, Network Engineer, U.S. DOE Energy Sciences Network (ESnet)
Friday, March 5, 2021. Houston, Texas
Zettar presented at HPC Knowledge Meeting 2021
Watch Video Presentation: Simplify Large-scale Data Management with a Unified Data Mover
Speaker:
Dr. Chin Fang, CEO, Zettar Inc.
June 21, 2021 10:00 AM – 10:40 AM PDT. Barcelona, Spain,
publications
June 4-5, 2024 |HPCKP – Annual Meeting
Revolutionize large-scale data transport. Unleash AI and HPC
Barcelona, Spain, June 4-5, 2024 – The November 22, 2022 launch of ChatGPT by OpenAI sparked a firestorm of interest in Large Language Models (LLMs). In turn, the need to move data at scale and speed is receiving ever-growing attention from more people. Nevertheless, the solutions and approaches for meeting this need remain mostly the same. In HPCKP21, the author presented a new software data mover and a logical but fresh way to look at addressing the need. In this talk, we will continue to examine the current situation that people face. An updated way to address the need is recommended as well.
November 14, 2023 |HPCwire
Zettar Unveils Data Movement Appliance at SC23 in Partnership with AIC and Intel
PALO ALTO, Calif., Nov. 14, 2023 – Zettar and AIC have announced that they will demonstrate a data movement appliance at Supercomputing 2023 (SC23), November 12 – 17, 2023, in collaboration with Intel. This is the world’s first showcase of such an appliance using IPUs with the built-in ability to offload a large variety of data movements – users no longer need to use multiple applications for different data movement scenarios.
March 22, 2023 |Zettar Append Streaming Solution Brief, Life Sciences, Intel Corp.
Enabling Universal Data Mobility, Automation, and Modernization for Life Sciences Organizations
Zettar is collaborating with Intel to scale unified data movement solutions that tackle the complexity of life sciences data environments.
February 15, 2023 |HPC-AI Advisory Council, 14th Stanford Conference
6X ESG Benefits via DPU/IPU with an Embedded Unified Data Mover
Two major IT trends make efficient data movement critical to many verticals – the edge-to-core/cloud paradigm and composable/disaggregated infrastructure. As a result, data sources and destinations are often far apart. Coupled with the fast data growth in modern times, efficient data transport is mandatory. Furthermore, ESG fosters the reduction of computing-related energy consumption and space usage. Achieving the highest ROI from IT infrastructure investments is also desirable. DPUs/IPUs help meet all such needs. Introducing built-in data moving capabilities into DPUs/IPUs make them valuable for data transport. The industry-leading Zettar zx unified data mover helps make it happen.
January 17, 2023 |Intel Corporation
Podcast; How Cloud to Edge Technology Helps Handle the Immense Amount of Data Generated By Practitioners
Healthcare organizations generate massive amounts of data, so much so that the challenge becomes how and where to move it and store it. Health and Life Science at the Edge host, Gabrielle Bejarano, spoke with Zettar’s Chin Fang and Intel’s Michael McManus for a peek inside the technology solutions Zettar and Intel are partnering on to advance the challenge of data movement, processing, and storage for healthcare organizations.
November 14, 2022 |HPCwire
Zettar to Demonstrate Data Migration with NVIDIA DPU at SC22
PALO ALTO, Calif., Nov. 14, 2022 — Zettar has announced it will demonstrate the use of the NVIDIA BlueField DPU for data migration at Supercomputing 2022 (November 13 – 18, 2022). In collaboration with NVIDIA, this is the world’s first showcase to endow DPU built-in ability to offload a large variety of data movements, which are collectively a major data processing category.
November 14, 2022 |NVIDIA Blog
Going the Distance: NVIDIA Platform Solves HPC Problems at the Edge
During SC22, system software company Zettar is demonstrating its data migration and storage offload solution based on BlueField-3. Zettar software can consolidate data migration tasks to a data center footprint of 4U rack space, which today requires 13U with x86-based solutions.
November 14, 2022 |HPCwire
NVIDIA Announces Platform to Solve HPC Problems at the Edge
NVIDIA BlueField data processing units offload, accelerate and isolate advanced networking, storage and security services to boost performance and efficiency for modern HPC.
During SC22, system software company Zettar is demonstrating its data migration and storage offload solution based on BlueField-3. Zettar software can consolidate data migration tasks to a data center footprint of 4U rack space, which today requires 13U with x86-based solutions.
June 08, 2022 |Intel Corporation
Solution Brief; Health and Life Sciences; Transporting High-Speed Instrument Data
IT teams tasked with moving high data volumes can benefit from Zettar’s scale-out, highly available, petabyte-scale data-transfer software solution, powered by Intel.
November 14, 2021 |HPCwire
Zettar to Showcase Accelerating At-Scale AI Data Migration at SC21
PALO ALTO, Calif., Nov. 14, 2021 — Zettar today announced it will showcase a fully optimized, at-scale, enterprise AI data migration solution, developed in collaboration with DDN and NVIDIA, at Supercomputing 2021 (Nov. 14-19, 2021).
November 14, 2021 |Forbes
NVIDIA Envisions AI For Everything
For SC21 NVIDIA, DDN and a data migration solution company, Zettar collaborated to create a testbed for feeding large-scale AI training on GPU from data at the edge, in the cloud or on-premises storage. Zettar’s at-scale AI data migration solution is production ready, using commercially available hardware and software, and attains full storage and network performance. This Forbes article, written by the respected Silicon Valley based enterprise tech analyst, Dr. Thomas Coughlin, is based on the NVIDIA SC21 Virtual Theater presentation “Accelerating at-scale AI data migration“
March 25, 2021 |HPCWire
DOE Technical Report: When to Use rsync?
The US Department of Energy (DOE) SLAC National Accelerator Laboratory has released a new Technical Report and associated open source testing tools. The report describes and illustrates a rigorous, comprehensive, and fully automated investigation about the highly popular rsync data copying tool. It answers a key question “When to use rsync?” We believe this is the first study at this level and scope, carried out using two expertly designed flexible testbeds: Zettar Inc’s and the U.S. DOE ESnet’s 100G SDN testbed.
First released in 1996, rsync remains the go-to data mover for many IT professionals. Yet the world is facing exponential data growth. So,
- Is rsync still the proper tool to use for almost every data moving task?
- If it is still useful, what are the proper range of operations?
- How about the effectiveness of some rsync-based tools that run multiple rsync instances?
- Are there any alternatives?
The report is available at https://slac.stanford.edu/pubs/slactns/tn06/slac-tn-21-001.pdf.
The testing tools are available at https://github.com/fangchin/test_rsync. They enable any interested parties to use the same methodology to obtain more results in their own environment.
March 25, 2021 |U.S. Department of Energy, Office of Scientific and Technical Information
When to use rsync
February 3, 2021 |InsidHPC
Elbencho – A New Storage Benchmark for AI
February 3, 2021 |HPCWire
Elbencho – A New Storage Benchmark for AI
February 3, 2021 |InsideHPC
Elbencho – A New Storage Benchmark for AI
January 27, 2021 |Jaymie Scotto & Associates (JSA)
Stories from Stanford, Cloud Storage and the Future of Moving Data at Scale & Speed
January 08, 2021 | Forbes
Data Movement Types Impact Storage Requirements
The explosion of machine generated data will require advanced automated and controlled data movement to make optimal use of that data. Data movement tools and digital storage required for making use of this data depends upon the size and type of data and the means and uses for that data. This Forbes article, written by the respected Silicon Valley based storage analyst, Dr. Thomas Coughlin, is based on the SLAC Technical Note, SLAC-TN-20-004 that Dr. Les Cottrell and Dr. Chin Fang co-authored and published on December 30, 2020 on the SLAC SciDoc Website https://stanford.io/3oveo3d.
December 25, 2020 | github.com
Storage sweep tools for elbencho
The storage sweep tools for elbencho empower users to get results for small files, large files and everything in between with a simple command and even including the automatic creation of a nice graph in the end.
December 21, 2020 | U.S. Department of Energy, SLAC National Accelerator Laboratory (SLAC)
Data Movement Categories
December 17, 2020 | U.S. Department of Energy, Energy Sciences Network (ESnet)
Zettar zx Evaluation for ESnet DTNs
ESnet is prototyping a Data Transfer Node as-a-Service (DTNaaS) capability that aims to provide optimized, on-demand data movement tools and endpoints to users of the network. Zettar offers a high-performance data movement solution, zx, that integrates with a number of storage technologies and provides mechanisms for API automation. An evaluation of the solution within the ESnet testbed environment was performed over the duration of approximately 2 months. The performance of disk I/O and network interactions were explored in a containerized software environment.
June 12, 2020 | Forbes
Data Center Infrastructure And Transport
The respected Silicon Valley based storage analyst, Dr. Thomas Coughlin wrote a blog about data center infrastructure and the importance of data transport to the effective use of the infrastructure. Two Zettar zx software’s prized features: predictable site-to-site transfer performance and symmetry were pointed out.
March 4, 2020 | 2020 Rice Oil & Gas High Performance Computing Conference
Moving Massive Amounts of Data across Any Distance Efficiently
In this talk, Zettar shared its intense experience in moving data at scale and speed. Key points: the importance of such endeavors in this age of hybrid and multi-cloud; the current state of the art; common misconceptions and myths to avoid; results from a multi-vendor joint project and a world-leading production trials are used for illustration.
Supercomputing Asia 2019, Data Mover Challenger, Winners Announced!
