WekaIO
WEKA is a data platform for AI and HPC workloads, delivering extreme performance for GPU clusters, genomics pipelines, and data-intensive applications.
About
WEKA provides agentic AI infrastructure, specifically the NeuralMesh platform, designed to accelerate AI workloads. Their solutions, including NeuralMesh Axon and WEKApod, offer GPU-native AI storage and turnkey AI storage to power AI factories and enable faster AI development. They serve AI innovators, research teams, and organizations looking to optimize AI model training, inference, and generative AI applications. Teams look it up for Computing, Data, Storage.
Frequently asked
What does WekaIO do?
WekaIO is a Computing company that offers Software. Teams look it up for Data, Storage, Software Defined (SD). It is based in Campbell, United States and was founded in 2013. Public records show about 552 people and $565M raised. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.
How much funding has WekaIO raised?
WekaIO has raised a total of $565M in funding. The most recent round on record is Secondary Transaction.
Where is WekaIO headquartered?
WekaIO is headquartered in Campbell, United States.
When was WekaIO founded?
WekaIO was founded in 2013.
What industry does WekaIO operate in?
WekaIO operates in Computing, Data, Storage, Software Defined (SD), Enterprise.
How many employees does WekaIO have?
WekaIO has approximately 552 people on record.
WekaIO and Pure Storage's FlashBlade both offer high-performance, scale-out storage solutions for data-intensive workloads, particularly in AI and HPC environments.
WekaIO and NetApp ONTAP Data Management Software compete in the storage infrastructure market, providing data management and storage solutions for various enterprise workloads.
WekaIO and IBM's Spectrum Scale (formerly GPFS) both offer parallel file systems designed for high-performance computing and data-intensive applications.
While NVIDIA primarily focuses on GPUs, WekaIO's solutions are optimized for NVIDIA GPU clusters, and NVIDIA has been a strategic investor in WekaIO, indicating a competitive overlap in providing integrated AI infrastructure.
WekaIO and HPE, through its GreenLake offerings that can incorporate competing storage solutions like VAST Data, both target enterprises needing high-performance storage for AI and HPC workloads.
Hugging Face, a company with over 10,000 employees, is heavily involved in AI and machine learning, which aligns with WEKA's focus on accelerating AI workloads and providing GPU-native AI storage.
Iron Mountain, a large enterprise with over 10,000 employees, manages vast amounts of data and could benefit from WEKA's high-performance, scalable file storage for data-intensive applications and AI initiatives.
Novartis, a global leader in innovative medicine with over 10,000 employees, would require high-performance data platforms for life sciences research, genomics, and AI/ML applications, which is a key focus for WEKA.
Lenovo, a major technology company with over 10,000 employees, is involved in providing HPC solutions and would be an ideal client for WEKA's data platform designed to accelerate AI and HPC workloads.
CoreWeave, a specialized cloud provider for GPU-accelerated workloads, partners with WEKA's primary competitor, VAST Data, and also works with WEKA, indicating a need for high-performance AI data services.
Confirmed customer relationships for WekaIO. Speculative buyer-fit guesses are not shown.
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