Explore effective checkpoint strategies for scalable LLM development. Gain insights into optimizing your training process with minimal disruption.

We’re continually inspired by our customers and the complex data challenges they’re overcoming to make the previously impossible possible. In this blog series, we’ll spotlight the stories of some of our newest customers and why they chose WEKA. As artificial…

MLPerf Storage is a relatively new addition to the MLPerf suite of benchmarks, designed to evaluate and measure the performance of storage systems in machine learning (ML) and artificial intelligence (AI) workloads. Version 0.5 was introduced last year as part…

In today’s data-driven world, artificial intelligence (AI) has emerged as a transformative force across industries, revolutionizing how businesses operate, innovate, and deliver value. However, to realize AI’s full potential, a robust, modern data stack, specifically tailored to meet the unique…

Yotta is building Shakti Cloud, India's most powerful and affordable AI cloud service.

We’re continually inspired by our customers and the complex data challenges they’re overcoming to make what was previously impossible possible. In this blog series, we’ll spotlight the stories of some of our newest customers and share why they chose WEKA.…

Discover the keys to scaling your AI initiatives in the cloud with unmatched efficiency and cost-effectiveness

The WEKA Data Platform optimizes AI workloads for life sciences applications including cryo-em, drug discovery, and genetics research.

What is GPUDirect Storage? NVIDIA Magnum IO GPUDirect Storage (GDS) enables a direct path between GPU memory and local or remote storage devices such as NVMe or NVMe over Fabrics (NVMe-oF), and GPU memory for data transfers. Moving data bypassing…

The first few months of 2024 have picked up right where we left off last year, with unparalleled levels of innovation and no end in sight. If anything, we’ve likely increased the pace. During the recent NVIDIA GTC conference, now…

Explore how the WEKA Data Platform, powered by WEKApod, revolutionizes AI data infrastructure. In a world where competitors boast about single performance metrics, WEKA sets the benchmark by excelling in both read and write bandwidth. Discover how WEKA outperforms competitors with higher IOPS, smaller footprints, and significantly reduced power consumption, making it the ideal choice for demanding AI workloads. Dive into the importance of efficient data management in AI pipelines and learn why WEKA’s optimized performance profiles ensure faster and more efficient model training. Explore how WEKA is redefining speed and sustainability in AI data infrastructure.

Veterans in the media and entertainment industry are no strangers to change. The industry has undergone a near-constant transformation for many years – first with content streaming, then cloud-enabled production studios, and now with generative AI. While each wave has…