Weka, an AI-powered data platform company, recently released a series of compelling announcements and benchmarks at the 54th IT Press Tour that showed how their platform makes life easier for developers, engineers, and architects working on AI, machine learning, and high-performance computing projects. With its focus on simplicity, performance and scalability, Weka empowers these technical professionals to achieve their goals more effectively.
It provides unparalleled performance
One of the key takeaways from Weka’s presentations was the exceptional performance of their data platform. In the latest round of SPEC Storage Solution 2020 benchmarks, Weka demonstrated its superiority in a variety of workloads, including AI image processing, electronic design automation (EDA), video data acquisition (VDA), genomics and software development.
Weka’s VP of Product Marketing Colin Gallagher highlighted the importance of these results: “What makes these results so interesting is not just that Weka is either raw or actually #1 in all SPEC 2020 benchmarks – it’s the impact of being able to handle any IO profile without setting changes between reference values.”
This zero-tuning architecture allows Weki to deliver outstanding performance without the need for time-consuming optimizations, making life easier for developers and engineers.
Simplifying AI data pipelines
Weka’s platform is designed to simplify the entire flow of AI data, from data entry and preprocessing to training, validation, inference and archiving. By eliminating data silos and enabling seamless data mobility across on-premises and cloud environments, Weka accelerates innovation and simplifies the lives of data scientists and ML engineers.
As Jeff Giannetti, chief revenue officer at Weka, explained, “AI requires a new and radical approach to data management.” Weka’s unified, high-performance data platform eliminates the complexity of managing a separate storage infrastructure for each stage of the AI data pipeline, allowing developers to focus on their core tasks.
Advancing generative artificial intelligence with ease
Weka is also at the forefront of supporting generative AI workloads, making it easier for developers and data scientists to push the boundaries of this exciting field. Stability.ai, a prominent Weka client, has leveraged the platform to manage multiple large language models and datasets exceeding 1 exabyte.
The performance and scalability of Weka’s platform have been key to Stability.ai’s success, as Chief Technology Officer Shimon Ben-David noted: “Combining LLM, text, images, video and audio into immersive generative experiences requires rethinking infrastructure, and Weka is a key partner on that journey.”
Unleashing the power of the GPU cloud
Weka has also been instrumental in simplifying the deployment and management of GPU infrastructure in the cloud. By partnering with leading GPU cloud providers such as NexGen Cloud, Applied Digital and Iris Energy, Weka makes it easy for developers and data scientists to access the power of GPUs without the complexity of managing the underlying storage infrastructure.
Cory Hawkvelt, CTO at NexGen Cloud, praised Weka’s impact: “WEKA is the only data platform that delivers the speed, scale and simplicity that large-scale GPU clouds demand.” This simplicity allows developers to focus on their applications and models instead of worrying about storage performance and scalability.
Encouraging sustainability and efficiency
In addition to simplifying data management and accelerating AI workloads, Weka also helps organizations achieve their sustainability goals. Efficient use of platform resources and the ability to minimize data movement reduces energy consumption and carbon footprint.
Weka’s commitment to sustainability is demonstrated in the new WEKApod device, certified for NVIDIA DGX SuperPOD systems. As Colin Gallagher explained, “The WEKA data platform provides increased performance density that reduces energy consumption by maximizing space utilization, improving cooling efficiency, optimizing power distribution and reducing idle power consumption. This enables WEKA customers to reduce their carbon footprint by up to 260 tonnes of CO2e per petabyte stored.”
Conclusion
Weka’s native AI data platform is changing the way developers, engineers and architects approach data management and AI workloads. By delivering unmatched performance, simplifying data pipelines, advancing generative artificial intelligence, unleashing the power of the GPU cloud, and driving sustainability, Weka makes life simpler and more productive for these technical professionals.
As Shimon Ben-David, CTO at Weka, stated, “Software is eating the world, and AI is eating software. If you build an infrastructure platform that can meet the challenges of AI workloads, you’re building the platform for the entire next generation of computing.” With Weko, developers, engineers and architects have a powerful ally in facing the challenges of the artificial intelligence era.