WekaIO Introduces Weka AI to Enable Accelerated Edge to Core to Cloud Data Pipelines

WekaIO (Weka) today introduced Weka AI, a transformative storage solution framework underpinned by the Weka File System (WekaFS) that enables accelerated edge to core to cloud data pipelines. Weka AI is a framework of customizable reference architectures (RAs) and software development kits (SDKs) with leading technology alliances like NVIDIA, Mellanox and others in the Weka Innovation Network (WIN). Weka AI enables chief data officers, data scientists and data engineers to accelerate genomics, medical imaging, financial services industry (FSI) and advanced driver-assistance systems (ADAS) deep learning (DL) pipelines and is available to easily scale from small to medium and large integrated solutions, through resellers and channel partners.

Artificial Intelligence (AI) data pipelines are inherently different from traditional file-based IO applications. Each stage within AI data pipelines has distinct storage IO requirements: massive bandwidth for ingest and training, mixed read/write handling for extract, transform, load (ETL), ultra-low latency for inference, and a single namespace for entire data pipeline visibility. Additionally, AI at the edge is driving the need for edge to core to cloud data pipelines. Hence, the solution must meet all these varied requirements, and deliver timely insights at scale. Traditional solutions lack these capabilities and often fall short in meeting performance, shareability across personas and data mobility requirements. Industries demand solutions to overcome those challenges─they demand data management for the AI Era, which provides actionable intelligence by breaking silos, providing operational agility and governance to these data pipelines.

Weka AI is a framework combining multiple technology partnerships, architected to accelerate DataOps, by solving the storage challenges common with IO-intensive workloads, like AI, and deliver production-ready solutions. It leverages WekaFS to accelerate the AI data pipeline, delivering more than 73 GB/sec of bandwidth to a single GPU client. In addition, it delivers operational agility with versioning, explainability and reproducibility and provides governance and compliance with in-line encryption and data protection. Engineered solutions with partners in the WIN program ensures Weka AI will provide data collection, workspaces and deep neural network (DNN) training, simulation, inference and lifecycle management for the entire data pipeline.

Liran Zvibel, CEO and Co-Founder, WekaIO
“GPUDirect Storage eliminates IO bottlenecks and dramatically reduces latency, delivering full bandwidth to data hungry applications. By supporting GPUDirect Storage in its implementations, Weka AI continues to deliver on its promise of highest performance at any scale for the most data-intensive applications.”

Shailesh Manjrekar, Head of AI and Strategic Alliances, WekaIO
“We are very excited to launch Weka AI to help businesses embark on their digital transformation journey. Line-of-business users as well as IT leaders can now implement AI 2.0 and cognitive computing workflows that scale, accelerate and derive actionable business insights, thus enabling Accelerated DataOps.”

Weka AI bundles are immediately available.