Simple Software Change on Same Hardware Drives Massive Block, Object and File Storage Improvement
KIOXIA America, Inc. (formerly Toshiba Memory America, Inc.) today announced that, in recent benchmark performance tests, its KumoScale™ storage software based on NVM Express™ over Fabrics (NVMe-oF™) technology was able to improve performance when compared to Ceph software. Testing conducted in a networked environment that included the NVMe-oF specification and a TCP/IP transport showed that KumoScale software’s read performance is 12x faster than Ceph, and read latency is reduced by 60%. With similar loads, under the same testing conditions, write performance is 60x faster than Ceph while latency is reduced by 98%.
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Recent testing highlights the raw performance of KumoScale software and showcases the economic benefits that this new level of performance can deliver to data center users. (Graphic: Business Wire)
Summary of Benchmark Testing Results
Testing Environment: Test environment utilized industry standard TCP/IP transport, 100% random workloads, and triply replicated volumes for resilience in both cases.
Read Performance: KumoScale software read performance is 12x faster than Ceph software while reducing latency by 60% in the testing environment.
Write Performance: KumoScale software write performance is 60x faster than Ceph software while reducing latency by 98%.
Economic Impact: KumoScale software supports 15x more clients per storage node than Ceph at a much lower latency in the testing environment.
“Measuring performance for a storage architecture based on the NVMe-oF specification is a complex task,” noted Joel Dedrick, vice president and general manager, networked storage software, KIOXIA America, Inc. “Storage dollars per IOPS and read latency are the new critical metrics for the cloud data center. Our recent test report highlights the raw performance of KumoScale software, and showcases the economic benefits that this
OpenDrives Delivers Scale-Out Storage Capabilities with Debut of Powerful New Centralized Software Management System Atlas 2.1
Scales Software Capabilities to Support Enterprise-Grade Businesses Globally with Features Driving Scalability, Operational management, Performance Analytics, and Service Availability
Floating Software Screens
LOS ANGELES, Oct. 07, 2020 (GLOBE NEWSWIRE) — OpenDrives, the global provider of enterprise-grade, hyper-scalable network-attached-storage (NAS) solutions, announces today the availability of Atlas 2.1, the next version of its software platform and file system that powers all OpenDrives storage solutions. Atlas 2.1 enables a scale-out storage architecture to accelerate performance, power, and flexibility of OpenDrives’ storage lineup, including the recently released Ultra Hardware series. Customers are now able to overcome significant constraints within key functional areas, such as scalability, operational management, performance analytics, and service availability.
“Many people think of storage as purely hardware. While it underpins the processes and interconnections within a storage solution, it’s the software that drives true performance,” said Sean Lee, Chief Product and Strategy Officer at OpenDrives. “Debuting Atlas 2.1 is a significant step towards more fully software-defined storage solutions. We’re proud to reach this milestone, scaling OpenDrives as a boutique hardware company to provide enterprise-grade customers with software that, for the first time, provides customers with the infrastructure they need to enable performance scale-out storage capabilities.”
Atlas 2.1 includes features that allow companies to massively scale outward while maintaining scale-up performance. These features include: storage clustering, distributed file systems, containerization, conditional automation, centralized management and visibility, cloud storage support, and high-availability.
Storage Clustering allows individual scale-up devices, or nodes, to be aggregated together forming a cluster. This parallel distributed architecture enables balanced workloads among cluster nodes without sacrificing performance hits such as increased latency.
Containerization brings functions such as compute and the application itself closer to where the data resides in our storage. While many vendors commonly approach containerization from the compute side,
Data Center Storage Market – Actionable Research on COVID-19 | Increasing Deployment of Edge Computing to Boost the Market Growth
The global data center storage market size is poised to grow by USD 126.3 billion during 2020-2024, progressing at a CAGR of almost 27% throughout the forecast period, according to the latest report by Technavio. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment. The report also provides the market impact and new opportunities created due to the COVID-19 pandemic. Download a Free Sample of REPORT with COVID-19 Crisis and Recovery Analysis.
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Technavio has announced its latest market research report titled Global Data Center Storage Market 2020-2024 (Graphic: Business Wire)
Data generation has increased significantly in end-user industries such as telecommunication, manufacturing, and energy over the past few years. This has led to the demand for more technologically advanced edge platforms. To capitalize on this demand, vendors are working on developing new edge computing platforms to help their clients improve data management capabilities at the edge of the network – leading to an increase in the investments in the deployment of edge computing. The increasing deployment of edge computing will increase the need for edge data centers and is expected to drive the global data center storage market growth during the forecast period.
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The major data center storage market growth came from SAN system segment. A SAN system has high-performance capacity, because of which it is highly preferred for high-speed traffic such as high transaction databases and e-commerce websites. SAN is primarily deployed by enterprises such as Facebook and Google that deal with high-volume and resource-intensive data, where the data needs to be processed simultaneously.
North America was
Data analytics, deep learning, and other AI/ML applications drive multi-billion-dollar flash memory market
Virtual Flash Memory Summit (FMS), the world’s premiere flash memory conference and exposition, announces a major program track on Storage for Artificial Intelligence and Machine Learning (AI/ML) Applications.
The new track features talks on storage strategies, model training, workloads, NVMe and logical volumes, persistent memory, software-defined architectures, and accelerating the GPU data path. It also includes panels on model scalability and long-term horizons, plus a keynote by Geoffrey Burr, Distinguished Researcher at IBM Almaden Research Center. Virtual Flash Memory Summit 2020 will be held on November 10-12 and expects to draw more than 6,000 attendees.
AI/ML applications require vast amounts of low latency, high-throughput flash storage. Cloud and enterprise data center architectures must be optimized to train deep neural networks and analyze petabyte-scale datasets, all while satisfying critical cost constraints.
The rapid adoption of AI/ML applications is fueling tremendous growth in demand for flash memory. According to IDC, the combined flash memory and SSD (Solid State Drive) markets will grow to almost $90 billion in 20221.
“AI/ML is the fastest-growing application in data centers today,” said Chuck Sobey, Conference Chairperson for Flash Memory Summit. “Advances like persistent memory, computational storage, QLC technology, and emerging non-volatile memories must be combined with rapid progress in 3D NAND flash to meet the needs of AI/ML for more data, faster.”
Now in its 15th year, Flash Memory Summit features the latest technology trends, the most innovative products, and the broadest coverage of this rapidly expanding market. In 2019, FMS drew over 6,000 registrants and over 120 exhibitors. The conference also features marketing and market research sessions plus sessions sponsored by NVM Express®, SNIA, and TechTarget, as well as a full-day free track by IDC on the latest market
The world is electrifying at a rapid pace and the mining industry seems to be becoming a quiet but key player in the electrification process. Tesla’s
We know that demand for energy storage is surging to meet increasing demand for renewable energy and electrified transport. According to Maria Xylia at Sweco Sweden, only 3% of global capacity can be currently stored and energy demand itself is expected to increase over 50% to 2050. Storage is a fundamental necessity for the integration of renewables into a smoothly running and efficient energy system, and it needs to be cost-effective, high performance and safe.
As Dr. Young-hye Na, Manager, Materials Innovations for Next-Gen Batteries, IBM Research says, “Enabling better battery energy storage will be key to a successful energy transition to renewables and net-zero carbon emissions. While lithium-ion batteries have advanced significantly by cutting cost and improving energy density for the last decade, it is still too expensive to be widely adopted for EV and renewable applications, and heavy metals that are needed to make these batteries – ex. cobalt and nickel – have brought environmental concerns associated with their invasive and energy intensive mining.”
Tesla’s ‘Battery Day’ left experts somewhat puzzled. There had been high expectations of breakthrough announcements but the company laid out future plans for building its own batteries and its own supply chain, and for massively ramping up production to 2030. The company announced a new cell design which could cut battery costs in half but it’s yet ready. It can take up to ten years for a battery to move from the lab to commercial production. For an audience expecting significant change, it