Energized to Empower the AI Era
WEKA Nets $140M Series E Round at $1.6B Valuation
The WEKA® Data Platform delivers uncompromising speed, simplicity, scale, and sustainability
WEKA helps data-driven organizations seamlessly and sustainably store, process, and manage data virtually anywhere with cloud simplicity and on-prem performance. Our software-defined, AI native data platform turns stagnant data silos into streaming data pipelines that fuel next-generation workloads like AI and HPC.
- SPEED
- SIMPLICITY
- SCALE
- SUSTAINABILITY
Mindbending speed.
Deliver unbeatable file and object performance for your most demanding applications supporting high I/O, low latency, small files, and mixed workloads with no tuning.
Seductive simplicity.
Eliminate the complexity and compromises of traditional data infrastructure with a single, easy-to-use data platform that eliminates storage silos across on-premises and the cloud.
Infinite scale.
Scale your compute and storage independently and linearly on-premises or in the cloud to handle 10s of millions or even billions of files of all data types and data sizes.
Effortless sustainability
Lower energy consumption and reduce the resulting carbon emissions by cutting data pipeline idle time, extending the usable life of your hardware, and moving workloads to the cloud.
Trusted by the world’s leading enterprises and research organizations.
![cust-ai-institute](https://www.weka.io/wp-content/uploads/files/2024/05/cust-ai-institute.png)
![cust-novartis](https://www.weka.io/wp-content/uploads/files/2024/04/cust-novartis.png)
![cust-tre-altamira-b](https://www.weka.io/wp-content/uploads/files/2023/04/cust-tre-altamira-b.webp)
Awards & Accolades
![Cloud computing winner 2023](/wp-content/uploads/2023/04/cloud-computing.png)
![CRN Storage](/wp-content/uploads/files/2023/04/2023-CRN-Storage100-Logo.png)
![CRN Big Data](/wp-content/uploads/files/2023/04/2023-CRN-BigData100.png)
![](https://www.weka.io/wp-content/uploads/files/2024/01/CRN-Cloud-100-2024.png)
Start solving big problems.
AI & Machine
Learning
AI & Machine
Learning
Eliminate data staging and storage silos for shorter Epoch and Wall Clock times.
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-wp-gpus.webp)
Cloud
Cloud
Turbocharge your demanding cloud workloads, and accelerate project times affordably.
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-sb-multicloud.webp)
HPC
HPC
Eliminate complexities of antiquated parallel file systems for any HPC data profile on-premises or in the cloud.
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-sb-losf.webp)
HPDA
HPDA
Improve your HPDA outcomes with faster time-to-results no matter the scale
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-sb-sas.webp)
Containers
Containers
Speed cloud native application development and optimize operations with persistent storage
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-tb-amazon-eks.webp)
Hybrid Cloud
Hybrid Cloud
Run applications anywhere teams work without sacrificing speed, scale, simplicity, or sustainability
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-sb-hybrid-cloud.webp)
Financial Services
Financial Services
Deliver real-time analytical insights for fast changing market dynamics.
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-ig-finserv.webp)
infographic
Media And Entertainment
Media And Entertainment
Enable artists across the globe to accelerate every workflow in their content pipeline.
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-sb-media-entertainment.webp)
Solution Brief
Federal Government
Federal Government
Replace legacy parallel file systems to simplify data management, lower costs, and provide better performance
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-wp-buyers-guide.webp)
WHITE PAPER
Life Sciences
Life Sciences
Tame unruly unstructured data to enable researchers and reduce time to discoveries
![](https://www.weka.io/wp-content/uploads/files/2023/04/home-res-top-lifesciences.webp)