WekaIO Wins for Best Deep Learning Platform
WekaIO, the innovation leader in high-performance, scalable file storage for data-intensive applications, announced that the WekaIO File System has been selected as the winner of the “Best Deep Learning Platform” from AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies, and products in the global Artificial Intelligence (AI) market.
“WekaIO has customers with use cases in autonomous vehicles, geospatial research, genomics and bioinformatics, and quantitative analysis – and we expect to see that list growing every day. WekaIO is helping companies solve real problems that impact the world.”
The mission of the AI Breakthrough Awards is to honor excellence and recognize the innovation, hard work, and success in a range of AI and machine learning related categories, including AI platforms, Deep Learning, Smart Robotics, Business Intelligence, Natural Language Processing, industry specific AI applications, and many more. This year’s program attracted more than 2,500 nominations from over 15 different countries throughout the world.
WekaFS™, WekaIO’s flagship product and the world’s fastest file system, was recognized by AI Breakthrough for improving data accessibility and solving the storage challenge for AI workloads by delivering the industry’s best performance at any scale. WekaFS is a shared, parallel file system that presents the data in a global namespace and speeds up I/O to the GPU. Companies embarking on AI initiatives often invest in GPU resources to accelerate AI applications. One benefit from accelerated application servers is an increased number of training Epochs; and the more Epochs that can be completed, the better the AI training model outcomes will be. However, many organizations do not consider the underlying storage infrastructure required to feed the data-hungry GPUs, and poor GPU performance at scale is directly related to poor storage performance. With WekaFS, billions of files can be managed in a single directory, and trillions of files in a storage system. Applications have access to data lakes, and more training model Epochs can be completed in a shorter amount of time. Furthermore, as a project adds more GPUs, storage capacity can be expanded online to ensure business continuity, enabling both a low and convenient entry point for AI initiatives and the capability to scale to any size.
“In this new era of AI-driven innovation, enterprises investing in AI infrastructure need to get the most out of their investment,” said Liran Zvibel, co-founder and chief executive officer at WekaIO. “Poor storage performance results in wasted GPU compute cycles, wasted data scientist productivity, and delays in going to market. Any enterprise that has an AI project needs a storage solution that delivers fast results, low latency, high throughput, and performance at any scale. WekaIO is pleased to be recognized by AI Breakthrough for delivering that solution for GPU-based Deep Learning workloads.”
“WekaIO is delivering an innovative, breakthrough high-performance platform, and it’s a promising file system that can support AI storage workloads at scale,” said James Johnson, managing director at AI Breakthrough. “WekaIO has customers with use cases in autonomous vehicles, geospatial research, genomics and bioinformatics, and quantitative analysis – and we expect to see that list growing every day. WekaIO is helping companies solve real problems that impact the world.”