Speeding into the future: How SQream and Oracle catalyze rapid AI ...

Organizations are experiencing a definitive moment in the history of technology, with generative AI (GenAI) sparking a worldwide transformation across nearly every industry. Driven by groundbreaking advancements, early adopters are setting new competitive standards and mapping what success looks like with GenAI. This surge is also fueling a renewed emphasis on AI and machine learning (ML), ushering in a new era of innovation. Organizations are clamoring to upgrade their AI strategies and tap into the full spectrum of possibilities offered by AI, at the risk of being left decisively behind. At the core of this transformation is data. The challenge to harnessing AI's transformative power is dismantling the long-standing barriers that limit data processing and smother innovation.

Recognizing hidden barriers in data processing

Despite substantial advancements in AI technologies, many organizations still confront legacy roadblocks that prevent them from fully benefiting from these advancements. Often inadequate for the scale and velocity demanded by modern, data-intensive applications, traditional CPU-based systems create significant bottlenecks, particularly as data volumes expand and queries increase in complexity. Beyond the complications of data silos, the need to transfer large datasets from source systems to analytics zones also poses a significant challenge. Moving and preprocessing these vast amounts of data can be time-consuming, delaying insight generation and often leading to inaccurate or incomplete results. These logistical hurdles can significantly extend the time needed for data preparation and model iteration and frequently disrupt the swift development and rollout of new AI models.

Cue the GPU: GPU acceleration enters the picture

Originally developed for rendering graphics in video games, GPUs have evolved far beyond their initial purpose. Equipped with thousands of cores, these processors can handle numerous tasks simultaneously, making them exceptionally adept at performing complex calculations beyond mere graphics rendering. This evolution has sparked a computing revolution.

Today, GPUs are instrumental in advancing sophisticated AI technologies, notably in enabling the development of large language models (LLMs). Their ability to rapidly process vast amounts of data has made them indispensable for model training. Recognizing this transformative potential, SQream developed a specialized patented software technology that optimizes the combined power of GPUs together with CPUs for advanced data processing and analytics, unlocking new levels of performance and insight.

SQream harnesses unprecedented speed and power with GPU acceleration

SQream's innovative approach utilizes GPU technology to dramatically enhance data processing capabilities, enabling organizations to meet the escalating demands of today's AI-driven landscape. Unlike traditional CPUs with up to 28 cores, advanced GPUs offer over 18,000 cores, which significantly boosts processing speed and efficiency. This massive parallelism inherent in GPUs not only accelerates data operations but also improves scalability and energy efficiency, making it ideal for handling large-scale and diverse data types. By reducing the time required for data analytics and machine learning, SQream allows businesses to iterate faster on data-driven insights and enhance overall operational efficiency and decision-making capabilities while reducing costs.

A strategic partnership: Oracle and SQream

The partnership between Oracle and SQream uses the significant performance enhancements of GPU technology, proving crucial for overcoming the traditional limitations when extracting insights from data. By integrating SQream's GPU-accelerated analytics with Oracle Cloud Infrastructure (OCI), this collaboration shatters existing data processing ceilings, effectively eliminating constraints that have historically restricted data capabilities. With SQream's advanced technology, OCI empowers enterprises to process data up to 20 times faster and at a fraction of the cost-up to eight times less than traditional CPU-based cloud solutions. This breakthrough significantly enhances how businesses use big data and unlocks unprecedented value and fortifying their competitive edge.

SQream on OCI is at the vanguard of data processing evolution, utilizing GPUs not just for running SQL and processing large-scale data, but also for propelling unmatched enhancements in data analytics. The partnership provides the following benefits:

• Faster time to Insight: Dramatically reduces processing times, exemplified by a large regional bank that slashed report generation from 98 minutes to 11, achieving over 88% time savings.

• Deeper analysis: Enables handling larger datasets and performing more complex analyses, as demonstrated by a global semiconductor company that reduced query times from two weeks to 30 minutes.

• Improved productivity: Boosts productivity and operational efficiency, allowing a global manufacturer to reduce data preparation time by over 90%, significantly accelerating their ML development.

• Cost efficiency: Delivers substantial cost savings by optimizing performance per dollar, as evidenced by a financial services firm achieving an 80% reduction in costs on complex workloads.

Empowering rapid innovation with SQream and Oracle

In a world where everything depends on data, the capability to process and analyze data swiftly and efficiently isn't merely an advantage. It's a necessity for maintaining competitive stature and propelling innovation. The combined power of SQream and Oracle's GPU-accelerated technology equips organizations with a unique ability to transform data into actionable insights rapidly and cost-effectively. This novel approach not only enables businesses to respond swiftly to market shifts but also empowers them to drive innovation and set new standards in their industries.

To learn more about how SQream and Oracle can assist your organization in harnessing the power of data, contact us and explore our resources. Discover how to navigate today's rapidly changing technological landscape and achieve data-driven success with Oracle Cloud Infrastructure AI infrastructure.

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