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Weka (weka.io) is a private company that builds a high-performance parallel file system and data platform designed to accelerate GPU and AI workloads. The company is headquartered in San Jose, California, and maintains significant R&D operations in Israel. Weka has raised substantial venture funding across multiple rounds, with investors including Nvidia, HPE, and others, though specific round amounts and total raise figures are not stated here with certainty.

Weka's primary product is the WEKA Data Platform, a software-defined parallel file system that runs on standard NVMe-based hardware or in the cloud. It is purpose-built to eliminate storage bottlenecks in GPU clusters used for AI training and high-performance computing (HPC) workloads. The platform allows data to be served to GPUs at the speeds required to keep them fully utilized — a problem that traditional NAS or object storage systems cannot solve at scale. Buyers are typically large enterprises, research institutions, financial services firms, life sciences organizations, and cloud providers running GPU-dense AI infrastructure. The product is sold through an enterprise sales motion, often alongside hardware partners and cloud marketplaces including AWS.

The flagship product is the WEKA Data Platform, which provides a POSIX-compliant distributed file system capable of delivering high throughput and low latency across thousands of concurrent clients. WEKA runs natively on-premises, in the cloud (AWS, Azure, GCP), and in hybrid configurations. The platform integrates with Kubernetes-based ML workflows and supports frameworks such as PyTorch and TensorFlow by appearing as a standard file system mount. Weka has emphasized its relevance to large language model (LLM) training infrastructure as GPU cluster sizes have grown rapidly since 2022.

Weka competes in the high-performance storage and AI data infrastructure space. Named direct competitors include DDN (DataDirect Networks), which has historically dominated HPC storage, IBM Spectrum Scale (GPFS), and to some extent Vast Data, which also targets AI and GPU workloads with an NVMe-based architecture. The growth of AI training infrastructure, particularly the rapid expansion of GPU clusters by hyperscalers and enterprises following the generative AI wave of 2023–2024, represents a strong tailwind for Weka's market.

Weka's core engineering and R&D organization is based in Israel. The Israeli team is responsible for the foundational file-system engineering that underpins the product. The company is known to recruit heavily from Israel's deep systems-programming talent pool, with backend and storage-systems engineers being a primary hiring profile in Israel.

Weka

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