WEKA builds NeuralMesh, a data and memory layer that feeds GPU clusters for AI training and inference. Its stack pairs low-level networking (InfiniBand, RDMA, DPDK, NVMe-oF, GPUDirect) with inference tooling like vLLM, Triton and TensorRT-LLM, pointing to a push from storage into inference acceleration. Accelerating, sales-led hiring and partner-selling projects with VARs and OEMs such as Dell, HPE and Supermicro signal channel-driven expansion.
Notable leadership hires: Demand Generation Director, AI Inference Team Lead, Director of Sales, Control Team Lead
WEKA is a privately held company founded in 2013 and headquartered in Campbell, California, with 201–500 employees. It develops NeuralMesh, infrastructure software designed to remove data bottlenecks for GPU-based AI workloads. Customers include enterprises, AI cloud providers and AI model builders running training and inference at scale. The platform runs across hardware from Dell, HPE, Supermicro and Hitachi and on clouds including AWS, Azure, GCP, OCI and CoreWeave. The company hires across the United States, Israel, India, Germany, Sweden, South Korea and several other countries.
WEKA works with InfiniBand, RDMA, DPDK, NVMe-oF, GPUDirect, Kubernetes and Python, plus NVIDIA inference tools like Triton and TensorRT-LLM, vLLM, and Salesforce, Snowflake and Looker for business systems.
Yes. Hiring is accelerating and sales is the largest hiring function, with leadership openings such as Director of Sales and Demand Generation Director alongside senior engineering roles.
WEKA is headquartered in Campbell, California, and also hires in Israel, India, Germany, Sweden, South Korea, Argentina, Peru, Indonesia and Uganda.
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WEKA's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
