Attendance to Mark Anniversary of Company’s 14-year Collaboration with NVIDIA and Highlight How It Empowers Organizations to Perform Complex Analytics at sScale
SQream, the leading data and ML acceleration platform, today announces its attendance at the upcoming NVIDIA GTC conference. At this premier event, SQream will highlight how new innovations are solving machine learning challenges in the industry by leveraging its recent integration with NVIDIA RAPIDS for unparalleled performance. The company will also feature SQreamDB and showcase how its SQL database continues to be the foundation that powers AI, analytics, and machine learning at scale.
GTC, scheduled to take place in San Jose, Calif. from March 17–21, 2025, will bring thousands of developers, innovators, and business leaders together to push the frontiers of accelerated computing, explore real-world examples of AI and its benefits, and attend over 1,000 sessions and nearly 400 exhibits.
Tech enthusiasts will also have the opportunity to learn about the latest predictive AI innovations designed to tackle common industry challenges, boost the scope of ongoing AI initiatives, and reveal strategies for handling heavier data workloads.
One key challenge is model bias, a pervasive issue for the data industry. By enabling the training of machine learning models on complete datasets without data sampling, SQream eliminates the blind spots caused by partial data. With a more diverse and extensive data foundation, models can uncover rare patterns, drive better decisions, and improve efficiency while reducing costs.
In addition, SQream offers a novel way to accelerate the ML lifecycle starting with the grueling task of data ingestion, preparation, and transformation through model training under a single workflow.
Among its solutions, SQreamDB is already helping businesses accelerate data analytics at an unprecedented scale, processing petabyte-scale datasets significantly faster than traditional CPU-based solutions and performing complex queries at a fraction of the cost. With enterprise customers across multiple industries already leveraging its capabilities, SQreamDB is driving deeper, rapid insights and delivering results today.
The latest integration with NVIDIA RAPIDS builds on this foundation and supports enhanced GPU efficiency, streamlined workflows through a unified data platform, and overcoming traditional limitations like GRAM constraints to train on massive datasets. In particular, SQream’s integration with RAPIDS makes it incredibly easy to incorporate the benefits of GPU acceleration into ML workflows, requiring only low-code SQL and Python.
“At SQream we’re proud to be one of NVIDIA’s longest-serving collaborators, having worked together with the organization for 14 years,” said Matan Libis, VP Product at SQream. “Attending the conference is a celebration of the value our solution delivers, and a stride forward in SQream’s mission to help industry leaders unlock accurate insights from their data.”
SQream’s GPU-accelerated engine is designed to overcome inefficiencies in traditional predictive AI workflows, offering end-to-end support from data preparation to inference. This paves the way for major breakthroughs in everything from genome sequencing and financial security to optimizing customer experience and manufacturing predictive maintenance.
In addition to showcasing its SQreamDB solution, the team will also unveil new innovations that transform predictive AI workflows across industries including semiconductors, finance, retail, healthcare, and manufacturing. Attendees have the opportunity to connect with the team and learn more about how SQream is shaping the future of machine learning with NVIDIA RAPIDS.
For more information on the company and to learn how SQreamDB is already delivering results across multiple industries, visit: https://sqream.com/product/sqreamdb
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