Pushing the limits of what’s possible, WekaIO solves storage performance problems in the most challenging data-intensive, technical computing environments

Everyone is talking about massive data growth, but not enough of us are talking about the challenges of understanding that data and creating actionable information from it to make better decisions. The problem is way more complex than has been presented, and the stakes couldn’t be higher. For years, people have been talking about storage tiering, but I think the future is going to be processor tiering combined with storage tiering. The cost of storing all the data we are collecting is enormous, and we are learning that discarding data is likely a bad idea if we cannot easily recollect it. Weka exists to solve the big storage problems for its customers, which it believes that it requires a totally new approach to manage the scale and performance of emerging applications. Organizations and enterprises that utilize legacy storage systems that are not optimized for today’s accelerated datacenters will be hindered in their ability to extract value from their data. Weka is committed to helping customers maximize the investment in high-powered IT infrastructure, such as GPU and FPGA-enabled servers, so they can innovate faster and solve previously unsolvable problems. Unlock the full capabilities of your data center. Built for NVMe flash and cloud-native, Weka is designed to enable organizations to maximize the full value of their high-powered IT investments - compute, networking and storage.

Artificial intelligence & machine learning

Weka AI is a solutions ecosystem engineered to solve Accelerated DataOps challenges, delivering Reference Architectures and Software Development Kits with leading AI solutions partners. It provides a production-ready storage solution where the entire data pipeline workflow—ingest data, to batch feature extraction, to hyperparameter optimization, and finally to inferencing and versioning—can be run be run on the same platform, whether running on-prem or in the public cloud. Direct access to data for training and inferencing eliminates data staging at the compute layer and storage silos which results in shorter Epoch and Wall Clock time. The growth of IoT sensor and camera networks, higher resolution and higher frame rate video as well as the widespread applications of various artificial intelligence (AI) tools are driving an explosion of data at the edge, in the network core and in data centers. Much of that data has immediate value and must be processed and interpreted quickly. Processing this explosion of data has increased the generation of value in our world and is driving the digital economy. Data has been rightfully called the new “black gold.” Like oil in the earlier industrial age, data is driving and enabling modern businesses. The large pools of data that organizations are collecting are often referred to as data lakes. The need to discover and use data to create new value and generate wealth with faster time-to-market and competitive differentiation leads to new ways to find, manage and use data in these data lakes, referred to as DataOps.

High Performance Data Analytics

High Performance Data Analytics (HPDA) workloads are now applying predictive models for deeper insights, and success is measured by the fast execution of algorithmic and deep learning model results. HPDA is at the intersection of high performance computing (HPC), traditional business analytics and artificial intelligence (AI). Critical applications, from fraud and anomaly detection, affinity marketing and business intelligence, are leveraging HPC technologies to gain competitive advantage. Weka is used by leading companies who are constantly seeking out new advanced technologies to gain a competitive advantage and improve business outcomes. HPDA requires a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at Petascale. SAS analytics software is one of the most widely deployed business intelligence tools, with 94% of the Fortune Global 1000 customers using SAS applications to power their businesses. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. Datadriven applications in artificial intelligence (AI) and machine learning (ML) using SAS analytics are increasing in volume and complexity as organizations look to enable predictive and cognitive analytics for financial services industry (FSI), risk management, healthcare, and IoT use cases.

Life sciences

Affordable, next-generation sequencing, and bio-imaging backed by powerful analytics, offers the promise of huge advances in medical discovery and diagnostics. With data sets growing at an exponential rate, storing and analyzing mountains of data requires a modern approach for faster insights. High performance shared file storage is essential to transform the vast amounts of data into meaningful discovery. The first flash-native parallel file system, WekaFS is ideal for accelerating the data pipeline in Life Sciences. Weka eliminates performance bottlenecks and significantly reduces the complexity and cost of managing high-performance storage systems at scale.

Meet the leader behind the success of WekaIO

As Co-Founder and CEO, Mr. Liran Zvibel guides long term vision and strategy at WekaIO. Prior to creating the opportunity at WekaIO, he ran engineering at social startup and Fortune 100 organizations including Fusic, where he managed product definition, design, and development for a portfolio of rich social media applications.

“Weka exists to solve the big storage problems for our customers, which we believe requires a totally new approach to manage the scale and performance of emerging applications.”