According to a recent press release, “WekaIO™ (Weka), the innovation leader in high-performance and scalable file storage, and a NVIDIA Partner Network Solution Advisor, 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.”

The release goes on, “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.”

Read more at Business Wire.

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