Lightbits Labs, the inventor of NVMe® over TCP (NVMe/TCP) storage protocol, and pioneer in composable disaggregated block storage solutions, today announced its plans to submit benchmark results for the 
. This move underscores Lightbits Labs’ commitment to delivering high-performance, scalable storage solutions optimized for the demanding workloads of modern machine learning and artificial intelligence applications.
The MLPerf Commons Storage benchmark suite is designed to evaluate the performance of storage systems across a range of machine learning tasks, including data loading and model training. We are stepping up to this challenge! We’re putting our storage to the test with the MLPerf Commons Storage benchmark. This means we’re serious about showing the AI world just how fast our storage can handle tough machine learning tasks like loading data and training models.
We are excited to showcase the performance advantages of our NVMe/TCP composable disaggregated block storage solutions through the MLPerf Commons Storage benchmarks. Our solutions offer a compelling value proposition for organizations looking to accelerate their machine learning initiatives with high-performance, scalable, and cost-effective storage.
Lightbits Labs’ storage solutions leverage the power of NVMe storage to deliver ultra-low latency and high throughput, enabling organizations to train and deploy machine learning models at scale. With its composable disaggregated architecture, Lightbits Labs’ solutions offer unparalleled flexibility and scalability, allowing organizations to easily adapt their storage infrastructure to meet the evolving demands of their machine learning workloads.
Lightbits Labs plans to submit its benchmark results to the MLPerf Commons Storage benchmark suite in the coming weeks with expected validated results in mid-September. Get ready for some impressive storage performance stats!
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