March 7th, 2019 by Adam Armstrong
Vexata Announces The VX-Cloud Data Acceleration Platform
Today Vexata announced its new VX-Cloud Data Acceleration Platform. According to the company this platform can transform industry standard servers into hyper-scale data platforms that meet the extreme performance at scale demands of business-critical analytics, database and ML/AI applications. The Vexata VX-Cloud Data Accleration Platform is power by the company’s patented Accelerated Data Architecture software and FPGA firmware.
Cloud providers, both public and private, are looking for ways to provide their customers with a unified, multi-petabyte, and extreme performance tier. This type of tier can give customers data flexibility that can be provisioned across multiple consolidated applications. However, this can come at a steep price that has to be passed on to the customers in some form. Vexata claims that its VX-Cloud can provide a premium SSD tier that achieves up to 20X improvements in IOPS and bandwidth at consistent low-latency for random, mixed R/W traffic, at significantly lower $/GB acquisition cost.
VX-Cloud leverages a scalable software design that enables it to utilize industry standard servers that can scale within or even across racks to deliver cloud-scale block and file data services for high-performance transactional databases, decision support systems, advanced analytics, high performance computing (HPC), machine learning (ML) and Artificial Intelligence (AI) workloads. Vx-Cloud allows performance and capacity to scale-out both independently and on demand. Use cases include risk analytics, trading system analytics, financial modeling, cyber-security, IoT analytics, autonomous AI, and deep learning. VX-Cloud deploys seamlessly with industry leading database, analytics and AI platforms such as Oracle RAC, SQL Server, Postgres, SAS, Kdb+, Cassandra and TensorFlow.
VX-Cloud is delivered as a set of reference architectures available through qualified strategic partners who have integrated VX-Cloud software onto their server platforms.