Customers like Novo Genomics are using Lenovo Data Management solutions to accelerate genomics analysis and gain faster business insights.
Today, Lenovo has announced its next wave of data management innovation with new ThinkSystem DG Enterprise Storage Arrays and ThinkSystem DM3010H Enterprise Storage Arrays. They are designed to make it easier for organizations to enable AI workloads and unlock value from their data. Also announced are two new integrated and engineered ThinkAgile SXM Microsoft Azure Stack solutions, enabling a unified hybrid cloud solution for seamless data management.
As businesses continue to scale their operations to address growing data, security and sustainability requirements, the new Lenovo flash solutions provide customers with an accelerated path to deploy AI workloads efficiently and with added security features from edge to cloud, enabling workload consolidation and mobilizing faster insights fortified with ransomware protection.
“The data management landscape is increasingly complex, and customers need solutions that offer the simplicity and flexibility of cloud with the performance and security of on-premises data management. As we continue our journey to become the world’s largest end-to-end infrastructure solutions provider, we are focused on delivering innovation that enables our customers to manage, leverage and protect their data seamlessly, giving every business the ability to bring AI to the source of the data and transform their business,” said Kamran Amini, Vice President and General Manager of Server & Storage, Lenovo Infrastructure Solutions Group.
“As organizations explore ways of improving their total operating costs, as well as keeping a close alignment to their sustainability journey, Lenovo is helping them meet their needs by introducing capacity-optimized flash solutions at a lower cost in order to better enable their transition from power-hungry spinning drives storage to all-flash, while staying within their budget,” said Marco Pozzoni, EMEA Data Management Sales Director, Lenovo.
Lenovo ThinkSystem DG Enterprise Storage Arrays: The new line of All-Flash Array (AFA) featuring Quad-level Cell (QLC) architecture, with up to 6x faster performance and up to 50% less cost vs HDD arrays, are specifically designed to handle read-intensive enterprise AI workloads and large dataset workloads, offering faster data intake and accelerating time to insight.
Lenovo ThinkSystem DM3010H Enterprise Storage Array: Next-generation hybrid unified storage solution ideal for SMB customers that delivers better scalability and flexibility for a wide range of workloads, including file services, virtualization, backup and archive and other I/O applications.
Lenovo ThinkAgile SXM4600 and SXM6600 Servers: Integrated systems for Microsoft Azure Stack Hub are engineered systems designed to simplify and accelerate time to value for Azure Hybrid and Multi cloud ecosystems. These powerful solutions provide up to a 183% increase in transactional database performance improvement and up to 3 to 1 consolidation for Microsoft applications. Lenovo ThinkAgile SXM solutions are designed with full-stack lifecycle management, native Azure integration and extend applications across public and private clouds.
Data Management Simplified for More Efficient Operations
To manage the high volume and velocity of data generated through HPC, and support accelerated genomics analysis, Novo Genomics worked with Lenovo to deploy two Genomics Optimization and Scalability Tool (GOAST) nodes based on an Intel Select Solution. “With Lenovo GOAST, we can process a batch of 32 exomes in parallel in as little as three hours—delivering up to 27 times faster analysis. In fact, the Lenovo solution allows us to analyze an entire human genome in less than an hour, accelerating our cutting-edge research,” said Abdulrahman Al Asiri, Researcher and PhD Candidate, Novo Genomics.
The Lenovo GOAST solution utilizes Lenovo ThinkSystem DM Storage Arrays for both the shared storage tier for fast data migration and for archiving genomic sequencing data and results.
