WEKA — High-Performance AI Data Management
WEKA is a high-performance data platform for organizations running GPU-accelerated and AI-intensive workloads
WEKA is a high-performance data platform designed to accelerate AI workloads and simplify complex data storage environments. It provides a unified file system that runs natively in the cloud, on-premises, or in hybrid configurations to support data-intensive applications. This platform is specifically built for organizations running large-scale machine learning, genomics, and financial modeling workloads that require high throughput and low latency. The WEKA data platform eliminates data silos by providing a single architecture that handles small and large files with equal efficiency. It uses a zero-copy architecture to ensure that data moves directly from storage to the GPU or CPU without unnecessary bottlenecks. Business owners can leverage this technology to reduce the time-to-value for AI projects and lower the total cost of ownership for high-performance infrastructure. Verified on surfai.app, WEKA provides enterprise-grade security features including encryption at rest and in flight to maintain strict compliance. The platform scales easily to hundreds of petabytes, allowing IT teams to grow their storage capacity without interrupting ongoing operations. This scalability is essential for 2026 data strategies where AI model training requires massive datasets. Deployment options are flexible across major cloud providers and local hardware, ensuring that data resides where it is most cost-effective. WEKA offers various subscription tiers and enterprise licensing models tailored to the specific storage and performance requirements of the organization.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | AWS, Google Cloud Platform, Microsoft Azure, NVIDIA Magnum IO, Kubernetes, HashiCorp Terraform |
| Best for | it-managers, data-scientists, enterprise-founders, ctos |
| Website status checked | 2026-10-23T06:01:30.715+00:00 |
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|---|---|---|---|
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