C1000-024 exam format - IBM Grid Scale Cloud Storage V2 Updated: 2023

IBM has introduced its new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet the demands of data-intensive and artificial intelligence (AI) workloads. This new system is a part of the IBM Storage for Data and AI portfolio, a collection of advanced storage solutions designed to support the increasing demands of modern data environments.

IBM’s reputation as a leader in the field of distributed file systems and object storage has been recognized by Gartner, a leading research and advisory company. For the seventh consecutive year, IBM has been named a leader in the 2022 Gartner Magic Quadrant for Distributed File Systems and Object Storage. This recognition highlights IBM’s commitment to providing high-performance storage solutions that are optimized for today’s data-driven world.

The IBM Storage Scale System 6000 is a high-performance system, providing up to 7 million IOPs and up to 256 GB/s throughput for read-only workloads per system in a 4U footprint. This system is designed to unify data from multiple sources in near real-time, optimizing performance for GPU workloads. It is particularly well-suited for storing semi-structured and unstructured data, including video, imagery, text, and instrumentation data.

In terms of future developments, the IBM Storage Scale System 6000 is set to incorporate IBM FlashCore Modules (FCM) in the first half of 2024. This addition will provide capacity efficiency with a 70% lower cost and 53% less energy per terabyte. The system also features powerful inline hardware-accelerated data compression and encryption, ensuring data security.

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“With our current Storage Scale Systems 3500, we are helping decrease time to discovery and increase research productivity for a growing variety of scientific disciplines. For AI research involving medical image analysis, we have decreased latency of access by as much as 60% compared to our previous storage infrastructure. For genomics and complex fluid dynamics workloads, we have increased throughput by as much as 70%,” said Jake Carroll, Chief Technology Officer, Research Computing Centre, The University of Queensland, Australia. “We get all the benefits of a high-speed parallel file system inside our supercomputing resources with the data management transparency and global data access that the IBM Storage Scale software provides.”

Carroll added, “IBM’s Storage Scale System 6000 should be a gamechanger for us. With the specs that I’ve seen, by doubling the performance and increasing the efficiency, we would be able to ask our scientific research questions with higher throughput, but with a lower TCO and lower power consumption per IOP, in the process.”

The IBM Storage Scale System 6000 is designed to be flexible, supporting a range of multi-vendor storage options including AWS, Azure, IBM Cloud, and other public clouds, in addition to IBM Storage Tape. This compatibility with a diverse range of storage options makes it a versatile solution for various data storage needs.

When compared with its competitors, the IBM Storage Scale System 6000 offers impressive performance. The system provides faster access to data with over 2.5 times the GB/s throughput and 2 times the IOPs performance of market-leading competitors. This makes it a powerful tool for organizations that require fast, efficient access to large volumes of data.

The IBM Storage Scale System 6000 is already being used in practical applications. For instance, the University of Queensland has utilized the IBM Storage Scale global data platform and IBM Storage Scale System for research in applied AI for neurodegenerative diseases and vaccine technologies. This showcases the system’s capacity to support complex, data-intensive research projects.

The Storage Scale System 6000 also integrates with NVIDIA technology, supporting NVIDIA Magnum IOTM GPUDirect Storage (GDS). This provides a direct path between GPU memory and storage, designed to increase performance with data movement IO when GDS is enabled.

The IBM Storage Scale System 6000 is a powerful, flexible, and high-performance storage solution designed to meet the demands of data-intensive and AI workloads. With its impressive performance, capacity for future expansion, and compatibility with a range of storage options, this system is well-positioned to support the data needs of modern organizations.

Latest Geeky Gadgets Deals

On a Roll

Magnetic tape drives have been around for more than six decades now. It's commercial use has been mostly for storing data, such as tax documents and health care records, from mainframe computers. From the first 2-megabyte tape drives in the 1950s, today's versions are now capable of storing up to 15 terabytes. IBM has been pushing it further.

In partnership with Sony Storage Media Solutions, IBM has broken its previous record for the world's densest tape drive, announcing a product capable of storing 330 terabytes of uncompressed data. That's more storage than the world's biggest hard drives, capable of holding about 330 million books. The tape drive's cartridge could fit into the palm of a person's hand.

“The results of this collaboration have led to various improvements in the media technology, such as advanced roll-to-roll technology for long sputtered tape fabrication and better lubricant technology, which stabilizes the functionality of the magnetic tape," IBM fellow Evangelos Eleftheriou said in a statement, The Verge reported.

Advanced Storage

To achieve such storage capacity, IBM researchers had to develop new technologies, including advanced nanotech and new signal-processing algorithms. The end result was a tape that had an areal surface capable of storing 31 gigabits per cm² (201 gigabits per in²). Details of the device's development was published in the journal IEEE Transactions on Magnetics. 

The end goal, of course, is commercial use. Specifically, IBM is looking to expand magnetic tape use to applications in the cloud. “Tape has traditionally been used for video archives, back-up files, replicas for disaster recovery, and retention of information on premise, but the industry is also expanding to off-premise applications in the cloud,” Eleftheriou said according to reporting from The Verge.

“While sputtered tape is expected to cost a little more to manufacture than current commercial tape, the potential for very high capacity will make the cost per terabyte very attractive, making this technology practical for cold storage in the cloud," he added.

IBM unveiled its newest IBM Storage Scale System (formerly Elastic Storage System) solution, introducing its Storage Scale System 6000. IBM’s cutting-edge cloud-scale global software-defined data platform addresses the escalating demands of data-intensive workloads and artificial intelligence (AI) applications.

The Storage Scale System 6000

Part of the IBM Storage for Data and AI portfolio, the new Storage Scale System 6000 offers high-performance parallel file systems with up to 7 million IOPs and up to 256GB/s throughput. It is optimized for storing semi-structured and unstructured data, such as video, imagery, text, and more, in hybrid environments.

IBM Storage Scale System 6000 incorporates IBM FlashCore Modules (FCM) for greater data efficiencies and economies of scale, providing lower cost and energy consumption than previous flash drives. It also offers inline hardware-accelerated data compression and encryption. The system is engineered to accelerate AI workloads with features like NVMeoF turbo tier, parallel multi-tenant data isolation, and computational storage drives.

This system connects data with an open ecosystem of multi-vendor storage options, including AWS, Azure, IBM Cloud, and other public clouds, and it provides faster access to data with over 2.5 times the throughput and two times the IOPs performance of market-leading competitors.

Built for AI

The Storage Scale System 6000 offers a high-performance parallel file system that can handle data-intensive AI workloads. It provides up to 7 million IOPs (Input/Output Operations Per Second) and up to 256GB/s throughput for read-only workloads. This level of performance ensures that AI applications can access and process data quickly, reducing latency and improving overall efficiency.

Engineered to work with popular AI frameworks and tools, the system allows data scientists and AI researchers to access and analyze data stored on the platform easily. It supports AI workloads by providing high-throughput and low-latency data access.

The Storage Scale System 6000 supports NVIDIA AI solutions and integrates with NVIDIA Magnum IOTM GPUDirect Storage (GDS). This enables a direct path between GPU memory and storage, improving data access for AI applications. It also supports high-speed networking with NVIDIA ConnectX-7 NICs for efficient data transfer between nodes and GPUs.

Analyst’s Take

The Storage Scale System 6000 is part of IBM's global data platform for unstructured data. It allows organizations to connect data from various sources, including core, edge, and cloud environments. This enables AI workloads to access data from diverse locations and sources, facilitating real-time data integration and analysis.

The IBM Storage Scale System 6000 provides the high-performance, scalability, and data management capabilities required for AI workloads. It offers fast data access, efficient storage, data security, and integration with AI frameworks and NVIDIA solutions, making it a valuable asset for organizations looking to accelerate their AI initiatives.

The IBM Storage Scale System 6000 represents a significant leap forward in data management and AI processing capabilities, addressing the critical need for efficient, high-performance storage solutions in an era dominated by data-intensive tasks and AI-driven applications.

As AI continues to reshape industries and drive innovation, the Storage Scale System 6000 emerges as a vital enabler, offering greater data efficiencies, economies of scale, and the power to accelerate the adoption of AI workloads, ultimately propelling organizations into the future of data-driven decision-making and discovery.

With the new Storage Scale System 6000, IBM continues to demonstrate its commitment to empowering enterprises with the tools needed to harness the full potential of AI and data analytics in today's digital landscape.

Disclosure: Steve McDowell is an industry analyst, and NAND Research an industry analyst firm, that engages in, or has engaged in, research, analysis, and advisory services with many technology companies, which may include those mentioned in this article. Mr. McDowell does not hold any equity positions with any company mentioned in this article.

PR Newswire

ARMONK, N.Y., Oct. 31, 2023

New cloud-scale, high performance storage appliance for unstructured data to power the most demanding AI and capacity-intensive workloads

ARMONK, N.Y., Oct. 31, 2023 /PRNewswire/ -- Today, IBM (NYSE: IBM) introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today's data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio.

For the seventh consecutive year and counting, IBM is a 2022 Gartner Magic Quadrant for Distributed File Systems and Object Storage Leader, recognized for its vision and execution.1 The new IBM Storage Scale System 6000 seeks to build on IBM's leadership position with an enhanced high performance parallel file system designed for data intensive use-cases. It provides up to 7M IOPs and up to 256GB/s throughput for read only workloads per system in a 4U (four rack units) footprint.2

To leverage the economic value of both foundation and traditional AI models, businesses must focus on the data – their current capacity and growth forecasts, where the data resides, how it's secured and accessed, and how to optimize future data storage investments.

"The potential of today's new era of AI can only be fully realized, in my opinion, if organizations have a strategy to unify data from multiple sources in near real-time without creating numerous copies of data and going through constant iterations of data ingest," said Denis Kennelly, general manager, IBM Storage. "IBM Storage Scale System 6000 gives clients the ability to do just that – brings together data from core, edge, and cloud into a single platform with optimized performance for GPU workloads."

The IBM Storage Scale System 6000 is optimized for storing semi-structured and unstructured data including video, imagery, text, instrumentation data, etc., that is generated daily and accelerates an organization's digital footprint across hybrid environments. With the IBM Storage Scale System clients can:

Expect greater data efficiencies and economies of scale with the addition of IBM FlashCore Modules (FCM), to be incorporated in 1H 2024:

• New maximum capacity NVMe FCM will provide capacity efficiency with 70% lower cost and 53% less energy per TB vs. IBM's previous maximum capacity flash drives for IBM Storage Scale System.3 This can help clients realize the full performance of NVMe with the cost advantages of Quad-level Cell (QLC).4
• Powerful inline hardware-accelerated data compression and encryption to help keep client data secured even in multi-user, multi-tenant environments.
• Storage Scale System 6000 with FCM will support 2.5x the amount of data in the same floor space than the previous generation system.5

Accelerate the adoption and operationalization of AI workloads with IBM watsonx: 

• Engineered with a new NVMeoF turbo tier, new parallel multi-tenant data isolation and IBM patented computational storage drives, this is designed to provide more performance security and efficiency for AI workloads.
• Storage Scale software, the global data platform for unstructured data that powers the Scale System 6000, connects data with an open ecosystem of multi-vendor storage options including AWS, Azure, IBM Cloud and other public clouds, in addition to IBM Storage Tape.

Gain faster access to data with over 2.5x the GB/s throughput and 2x IOPs performance of market leading competitors6:

• High-processing throughput and access speed with multiple concurrent AI and data-intensive workloads that can be run to meet a range of use cases.

The Benefits of IBM Storage Scale in Applied AI at the University of Queensland

The University of Queensland (UQ) is a world-class research institution that has significantly accelerated a wide range of workloads providing faster access to data and improved efficiency and capabilities using the IBM Storage Scale global data platform and IBM Storage Scale System. Examples of some of the research where IBM Storage is used include applied AI for the characterization of neurodegenerative diseases and in the search for more effective and flexible vaccine technologies. 

"With our current Storage Scale Systems 3500, we are helping decrease time to discovery and increase research productivity for a growing variety of scientific disciplines. For AI research involving medical image analysis, we have decreased latency of access by as much as 60% compared to our previous storage infrastructure. For genomics and complex fluid dynamics workloads, we have increased throughput by as much as 70%," said Jake Carroll, Chief Technology Officer, Research Computing Centre, The University of Queensland, Australia. "We get all the benefits of a high-speed parallel file system inside our supercomputing resources with the data management transparency and global data access that the IBM Storage Scale software provides."

Carroll added, "IBM's Storage Scale System 6000 should be a gamechanger for us. With the specs that I've seen, by doubling the performance and increasing the efficiency, we would be able to ask our scientific research questions with higher throughput, but with a lower TCO and lower power consumption per IOP, in the process." 

Accelerating AI with the IBM Storage Scale System and NVIDIA Technology

The Storage Scale System 6000 has the ability to create an information supply chain from an NVIDIA AI solution to other AI workloads independent of where they are located. IBM's new NVMeoF turbo tier has been engineered for small files like those collected from remote devices or to provide access to smaller transactions like data lake or lakehouse analytics so they can be integrated into an NVIDIA solution.

The Storage Scale System 6000 supports NVIDIA Magnum IOTM GPUDirect® Storage (GDS) with a direct path between GPU memory and storage. It has also been designed to increase performance with data movement IO when GDS is enabled. Utilizing NVIDIA ConnectX-7™ NICs, the Scale System 6000 supports up to 16 ports of 100Gb RDMA over Converged Ethernet (RoCE), 200Gb/s and/or 400Gb/s InfiniBand, or a combination of both to increase performance between nodes or directly to NVIDIA GPUs. To learn more about how IBM Storage can accelerate access and provide a global data platform with NVIDIA AI solutions, visit https://www.ibm.com/storage/nvidia.

For more information on IBM Storage Scale System, please visit our website here.

Clients can select the level of desired support at the time of sale through IBM Expert Care with a choice between Basic and Advanced tiers. Read here for more. 

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs, and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity, and service.

Visit www.ibm.com for more information.

1 Gartner disclaimers: Gartner, Magic Quadrant for Distributed File Systems and Object Storage, 19 October 2022, Julia Palmer, et. Al. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
2 The performance considerations were obtained by running trial programs in a controlled environment with standard hardware/software configurations and testing procedures. Performance for IOPs is obtained using non protected tier for capability supported via special request. Since performance varies with configuration, program characteristics, and other installation and environment factors, results obtained in other operating environments may vary. IBM® does not represent, warrant, or certain that a user will achieve the same or similar results in the user's environment.
3 Capacity efficiency improvements based on comparison of new 38TB Flash Core Modular (FCM) drives with up to 2:1 inline compression vs. previous 30TB max capacity drives.  Cost per TB based on standard list price of drives (list pricing available upon request) and energy usage based on specification of drives (https://www.ibm.com/downloads/cas/JBVQYVXB). 
4 Adshead, A. (2023, March 14). QLC edges into mainstream, but what are its advantages? ComputerWeekly.com. https://www.computerweekly.com/feature/QLC-edges-into-mainstream-but-what-are-its-advantages
5 The 4 rack unit Storage Scale System 6000 capacity is based on a configuration using the 38PB FCM drives with up to 2:1 inline compression supported in 1H 2024 with 900 TB / rack unit of floor space vs previous generation 2 rack unit Scale System 3500 using 30TB Flash drives with 360 TB / rack unit of floor space.
6 The performance considerations were obtained by running trial programs in a controlled environment with standard hardware/software configurations and testing procedures. Performance for IOPs on IBM Storage Scale System 6000 is obtained using non protected tier for capability available via special request. Competitor comparisons are extrapolated from publicly available information comparing market leading vendors/competitors defined by Gartner magic quadrant (https://community.ibm.com/community/user/storage/blogs/david-wohlford1/2022/10/21/ibm-is-a-leader-in-2022-gartner-magic-quadrant) Since performance varies with configuration, program characteristics, and other installation and environment factors, results obtained in other operating environments may vary. IBM® does not represent, warrant, or certain that a user will achieve the same or similar results in the user's environment.

Media Contact
Alexandra Demetriades
Alexandra.Demetriades@ibm.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-unleashes-the-potential-of-data-and-ai-with-its-next-generation-ibm-storage-scale-system-6000-301973120.html

SOURCE IBM

New cloud-scale, high performance storage appliance for unstructured data to power the most demanding AI and capacity-intensive workloads

ARMONK, N.Y., Oct. 31, 2023 /PRNewswire/ -- Today, IBM (NYSE: IBM) introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today's data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio.

For the seventh consecutive year and counting, IBM is a 2022 Gartner Magic Quadrant for Distributed File Systems and Object Storage Leader, recognized for its vision and execution.1 The new IBM Storage Scale System 6000 seeks to build on IBM's leadership position with an enhanced high performance parallel file system designed for data intensive use-cases. It provides up to 7M IOPs and up to 256GB/s throughput for read only workloads per system in a 4U (four rack units) footprint.2

To leverage the economic value of both foundation and traditional AI models, businesses must focus on the data – their current capacity and growth forecasts, where the data resides, how it's secured and accessed, and how to optimize future data storage investments.

"The potential of today's new era of AI can only be fully realized, in my opinion, if organizations have a strategy to unify data from multiple sources in near real-time without creating numerous copies of data and going through constant iterations of data ingest," said Denis Kennelly, general manager, IBM Storage. "IBM Storage Scale System 6000 gives clients the ability to do just that – brings together data from core, edge, and cloud into a single platform with optimized performance for GPU workloads."

The IBM Storage Scale System 6000 is optimized for storing semi-structured and unstructured data including video, imagery, text, instrumentation data, etc., that is generated daily and accelerates an organization's digital footprint across hybrid environments. With the IBM Storage Scale System clients can:

Expect greater data efficiencies and economies of scale with the addition of IBM FlashCore Modules (FCM), to be incorporated in 1H 2024:

• New maximum capacity NVMe FCM will provide capacity efficiency with 70% lower cost and 53% less energy per TB vs. IBM's previous maximum capacity flash drives for IBM Storage Scale System.3 This can help clients realize the full performance of NVMe with the cost advantages of Quad-level Cell (QLC).4
• Powerful inline hardware-accelerated data compression and encryption to help keep client data secured even in multi-user, multi-tenant environments.
• Storage Scale System 6000 with FCM will support 2.5x the amount of data in the same floor space than the previous generation system.5

Accelerate the adoption and operationalization of AI workloads with IBM watsonx:

• Engineered with a new NVMeoF turbo tier, new parallel multi-tenant data isolation and IBM patented computational storage drives, this is designed to provide more performance security and efficiency for AI workloads.
• Storage Scale software, the global data platform for unstructured data that powers the Scale System 6000, connects data with an open ecosystem of multi-vendor storage options including AWS, Azure, IBM Cloud and other public clouds, in addition to IBM Storage Tape.

Gain faster access to data with over 2.5x the GB/s throughput and 2x IOPs performance of market leading competitors6:

• High-processing throughput and access speed with multiple concurrent AI and data-intensive workloads that can be run to meet a range of use cases.

The Benefits of IBM Storage Scale in Applied AI at the University of Queensland

The University of Queensland (UQ) is a world-class research institution that has significantly accelerated a wide range of workloads providing faster access to data and improved efficiency and capabilities using the IBM Storage Scale global data platform and IBM Storage Scale System. Examples of some of the research where IBM Storage is used include applied AI for the characterization of neurodegenerative diseases and in the search for more effective and flexible vaccine technologies.

"With our current Storage Scale Systems 3500, we are helping decrease time to discovery and increase research productivity for a growing variety of scientific disciplines. For AI research involving medical image analysis, we have decreased latency of access by as much as 60% compared to our previous storage infrastructure. For genomics and complex fluid dynamics workloads, we have increased throughput by as much as 70%," said Jake Carroll, Chief Technology Officer, Research Computing Centre, The University of Queensland, Australia. "We get all the benefits of a high-speed parallel file system inside our supercomputing resources with the data management transparency and global data access that the IBM Storage Scale software provides."

Carroll added, "IBM's Storage Scale System 6000 should be a gamechanger for us. With the specs that I've seen, by doubling the performance and increasing the efficiency, we would be able to ask our scientific research questions with higher throughput, but with a lower TCO and lower power consumption per IOP, in the process."

Accelerating AI with the IBM Storage Scale System and NVIDIA Technology

The Storage Scale System 6000 has the ability to create an information supply chain from an NVIDIA AI solution to other AI workloads independent of where they are located. IBM's new NVMeoF turbo tier has been engineered for small files like those collected from remote devices or to provide access to smaller transactions like data lake or lakehouse analytics so they can be integrated into an NVIDIA solution.

The Storage Scale System 6000 supports NVIDIA Magnum IOTM GPUDirect® Storage (GDS) with a direct path between GPU memory and storage. It has also been designed to increase performance with data movement IO when GDS is enabled. Utilizing NVIDIA ConnectX-7™ NICs, the Scale System 6000 supports up to 16 ports of 100Gb RDMA over Converged Ethernet (RoCE), 200Gb/s and/or 400Gb/s InfiniBand, or a combination of both to increase performance between nodes or directly to NVIDIA GPUs. To learn more about how IBM Storage can accelerate access and provide a global data platform with NVIDIA AI solutions, visit https://www.ibm.com/storage/nvidia.

For more information on IBM Storage Scale System, please visit our website here.

Clients can select the level of desired support at the time of sale through IBM Expert Care with a choice between Basic and Advanced tiers. Read here for more.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs, and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity, and service.

Visit www.ibm.com for more information.

1Gartner disclaimers: Gartner, Magic Quadrant for Distributed File Systems and Object Storage, 19 October 2022, Julia Palmer, et. Al. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
2 The performance considerations were obtained by running trial programs in a controlled environment with standard hardware/software configurations and testing procedures. Performance for IOPs is obtained using non protected tier for capability supported via special request. Since performance varies with configuration, program characteristics, and other installation and environment factors, results obtained in other operating environments may vary. IBM® does not represent, warrant, or certain that a user will achieve the same or similar results in the user's environment.
3 Capacity efficiency improvements based on comparison of new 38TB Flash Core Modular (FCM) drives with up to 2:1 inline compression vs. previous 30TB max capacity drives. Cost per TB based on standard list price of drives (list pricing available upon request) and energy usage based on specification of drives (https://www.ibm.com/downloads/cas/JBVQYVXB).
4 Adshead, A. (2023, March 14). QLC edges into mainstream, but what are its advantages? ComputerWeekly.com. https://www.computerweekly.com/feature/QLC-edges-into-mainstream-but-what-are-its-advantages
5 The 4 rack unit Storage Scale System 6000 capacity is based on a configuration using the 38PB FCM drives with up to 2:1 inline compression supported in 1H 2024 with 900 TB / rack unit of floor space vs previous generation 2 rack unit Scale System 3500 using 30TB Flash drives with 360 TB / rack unit of floor space.
6 The performance considerations were obtained by running trial programs in a controlled environment with standard hardware/software configurations and testing procedures. Performance for IOPs on IBM Storage Scale System 6000 is obtained using non protected tier for capability available via special request. Competitor comparisons are extrapolated from publicly available information comparing market leading vendors/competitors defined by Gartner magic quadrant (https://community.ibm.com/community/user/storage/blogs/david-wohlford1/2022/10/21/ibm-is-a-leader-in-2022-gartner-magic-quadrant) Since performance varies with configuration, program characteristics, and other installation and environment factors, results obtained in other operating environments may vary. IBM® does not represent, warrant, or certain that a user will achieve the same or similar results in the user's environment.

Media Contact
Alexandra Demetriades
Alexandra.Demetriades@ibm.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-unleashes-the-potential-of-data-and-ai-with-its-next-generation-ibm-storage-scale-system-6000-301973120.html

SOURCE IBM