“Our proprietary approach leverages the parallel data processing capabilities of the GPU to distribute operations between multiple GPU and CPU cores, resulting in faster processing times and more efficient data management,” Deborah Leff told Metaverse Post. The company also prioritizes reducing hardware dependency and minimizing energy consumption, distinguishing it from traditional CPU-centric big data solutions. SQream’s solution leverages GPU parallel processing capabilities to enable companies to process vast datasets swiftly. “We are investing in cutting-edge technologies and research to provide our customers with the most powerful and efficient data preparation infrastructure AI/ML solutions available.” “As AI and ML continue to advance at a rapid pace, we will be leveraging our recent funding to enhance our AI/ML enterprise capabilities and maintain our position at the forefront of innovation,” Deborah Leff, CRO at SQream told Metaverse Post. Through the new funding, the company aims to expand its operations in North America and add further enhancements to its AI/ML enterprise capabilities to expand its presence in big data and analytics markets. The funding was led by World Trade Ventures alongside other investors including Schusterman Investments, George Kaiser Foundation (Atento), Icon Continuity Fund, Blumberg Capital and Freddy & Helen Holdings. © Copyright of Globes Publisher Itonut (1983) Ltd., 2023.GPU-based big data platform SQream, today announced it has successfully closed a series C funding round, securing $45 million in investment. Published by Globes, Israel business news - en.il - on September 12, 2023. SQream's customers include enterprises across a range of industries- including semiconductors, manufacturing, telecoms, financial services, and healthcare - who have already seen the ability of GPU computing to dramatically accelerate their data analytics and AI/ML data pipelining processes. ![]() We are grateful for the trust from World Trade Ventures and for the ongoing support from our investors, especially in a tight funding climate." Companies are very focused on driving analytics maturity right now, and this recent funding round is another step in our mission to better equip our customers with cutting-edge data analytics and processing solutions that empower them to derive meaningful insights from their vast datasets and drive growth in ways previously thought impossible. Gal said, "As Generative AI shines a light on the importance of leveraging AI and ML within enterprises, as well as the value of GPUs as part of the analytics process, we have seen interest in our technology skyrocket. SQream's benchmarks consistently return improvements in expanding data capacity while reducing ingestion times by 90%, preparation times by 90%, footprint by 90%, and costs by 80%, all while using familiar SQL processes combined with the power of data parallelism. ![]() ![]() The addition of Graphic Processing Units (GPUs) into analytics processes is revolutionizing corporate analytics programs and driving incredible demand for SQream's solution, which significantly accelerates time to value and reduces costs for terabyte-to-petabyte-scale data workloads in AI/ML applications and beyond. ![]() Israeli big data analytics co SQream raises $39.4m
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