Weka scores $140M to supercharge AI workloads with ‘dynamic data pipelines’

by | May 15, 2024 | Technology

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.

Data is the lifeblood of modern AI systems, but making it available for these complex workloads is quite a task. Today, Weka, a startup working to simplify this challenge by making data continuously available on-demand with a unique AI-native offering, announced it has raised a series E round of $140 million on the back of significant customer interest. The investment, coming entirely from existing investors, has taken the company’s valuation to $1.6 billion – double what it was back in November 2022.

“Few could have predicted just how quickly the AI market would take off… But when [generative AI] exploded on the scene in December 2022, global demand for Weka’s data platform software skyrocketed, with large enterprise customers and research organizations looking to accelerate their AI initiatives,” Jonathan Martin, president at Weka, told VentureBeat. 

The company plans to use the fresh capital across multiple areas, most notably to further enhance its platform — a software-based solution that eliminates data bottlenecks stemming from legacy architectures and creates a “dynamic pipeline”  that feeds continuous data to GPUs and AI workloads, thereby increasing their efficiency and sustainability.

What does Weka bring to the table?

Even as enterprise leaders continue to reiterate commitment to modern workloads like generative AI, downstream teams are struggling to bring those projects to life owing to data silos and gaps stemming from legacy architectures. A typical generative AI pipeline revolves around multiple steps of co …

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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.

Data is the lifeblood of modern AI systems, but making it available for these complex workloads is quite a task. Today, Weka, a startup working to simplify this challenge by making data continuously available on-demand with a unique AI-native offering, announced it has raised a series E round of $140 million on the back of significant customer interest. The investment, coming entirely from existing investors, has taken the company’s valuation to $1.6 billion – double what it was back in November 2022.

“Few could have predicted just how quickly the AI market would take off… But when [generative AI] exploded on the scene in December 2022, global demand for Weka’s data platform software skyrocketed, with large enterprise customers and research organizations looking to accelerate their AI initiatives,” Jonathan Martin, president at Weka, told VentureBeat. 

The company plans to use the fresh capital across multiple areas, most notably to further enhance its platform — a software-based solution that eliminates data bottlenecks stemming from legacy architectures and creates a “dynamic pipeline”  that feeds continuous data to GPUs and AI workloads, thereby increasing their efficiency and sustainability.

What does Weka bring to the table?

Even as enterprise leaders continue to reiterate commitment to modern workloads like generative AI, downstream teams are struggling to bring those projects to life owing to data silos and gaps stemming from legacy architectures. A typical generative AI pipeline revolves around multiple steps of co …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]

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