SAN JOSE CA July 20, 2020 – Excelero, a disruptor in software-defined block storage for AI/ML/deep learning and GPU computing, announced today that CRN®, a brand of The Channel Company, has named Excelero to its 2020 Emerging Vendors list in the Storage category. This annual list honors new, rising technology suppliers that exhibit great promise in shaping the future success of the channel with their dedication to innovation. The list recognizes channel-focused organizations across eight categories: Cloud, Data Center, Security, Big Data, Internet of Things (IoT), Storage and Networking/Unified Communications.
Excelero was recognized by CRN for the fourth year in a row for delivering low-latency distributed block storage for high-performance workloads. Its Excelero NVMesh™ software enables partners to deliver end-to-end storage solutions for high-performance workloads including GPU storage for AI/ML/Deep Learning, data warehouses and containers. NVMesh provides a centralized pool of high performance NVMe storage that is accessed like it is local, making most efficient use of NVMe resources. Partners can use NVMesh with any hardware or file system, and scale-up or scale-out to build agile, extensible storage infrastructures for peak price/performance at any scale.
“Solutions providers often struggle to find storage software that is agile and scalable enough for AI/ML/deep learning and HPC deployments. Excelero is delighted to be recognized by CRN as the one to watch in this high-growth storage space for the fourth year in a row,” said Lior Gal, CEO and co-founder of Excelero. “As complexity of AI/ML and HPC solutions increases, so do storage requirements. Excelero’s NVMesh makes it fast and easy to scale up storage capacity as datasets grow – ensuring AI/ML projects don’t become bottlenecked, and that partners have the agility, elasticity, price/performance and ROI that their customers need to evolve ahead of their markets.”
CRN’s Emerging Vendors recognizes pioneering technology suppliers in the IT channel that are driving innovation and growth. This list serves as a valuable resource for solution providers in search of the latest technologies.
The Emerging Vendors list is selected by CRN’s esteemed editorial team. These vendors are inspiring the IT channel with groundbreaking technologies and best-in-class offerings that are elevating businesses – driving success with solutions built to battle the challenges of the IT channel.
“CRN’s 2020 Emerging Vendors list recognizes vendors that are revolutionizing the IT channel with innovative solutions that meet the complex demands of our industry,” said Blaine Raddon, CEO of The Channel Company. “It honors inspirational new vendors that are driving channel growth with state-of-the-art technologies that will continue to shape the channel into the future.”
The 2020 Emerging Vendors list will be featured in the August 2020 issue of CRN Magazine and online at www.CRN.com/EmergingVendors.
About The Channel Company
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Excelero is the market leader in distributed block storage software. Founded in 2014 by a team of storage veterans, the company delivers Elastic NVMe software that enables partners to build end-to-end, high-performance storage solutions for AI training and analytics workloads at any scale. With its partners, Excelero enables customers to massively improve ROI across the entire datacenter, using standard servers, maximizing component utilization (NVMe, GPU), minimizing overhead and reducing software license costs.
Excelero’s NVMesh® is distributed block storage that connects CPUs and GPUs to NVMe flash to create a significant improvement in price/performance, from entry level to any scale. NVMesh was designed as a storage layer that eradicates data bottlenecks so teams can access data at any speed in any location. NVMesh delivers 20x faster data processing for multi-server, multi-GPU compute nodes when working with massive datasets for machine learning, deep learning and complex analytical workloads. Follow us on Twitter @ExceleroStorage, on LinkedIn or visit www.excelero.com.
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