Weka's unique zero-copy architecture accelerates each step of the AI pipeline, allowing models to be trained faster and more efficiently. The company's WekaFS, a scale-out, shared parallel file system, delivers 10x the performance of legacy network attached storage systems and 3x the performance of local server storage. The platform is designed for customers with complex data challenges and demanding data environments, including large enterprises, cloud service providers, research institutions, media companies, AI/ML companies and startups, IoT applications and financial services firms.
Key takeaways:
- Weka, a startup that provides a unique AI-native offering for data availability, has raised a series E round of $140 million, doubling its valuation to $1.6 billion since November 2022.
- The company's software-based platform eliminates data bottlenecks and creates a dynamic pipeline that continuously feeds data to GPUs and AI workloads, improving their efficiency and sustainability.
- Weka's platform, which includes a scale-out, shared parallel file system called WekaFS, is designed for customers with complex data challenges and demanding data environments, including large enterprises, cloud service providers, research institutions, and AI/ML companies.
- With the new funding, Weka plans to invest in R&D, enhance its data platform, invest in customer success initiatives, and expand its global workforce by at least 25% by the end of this fiscal year.