Break through data limitations with cutting-edge HPC

Simplified big data management

SQream's support for industry-standard connectors, ANSI-SQL syntax, and automatic data compression, combined with Vultr's automated tools and managed services like Vultr Kubernetes Engine, streamlines data deployment and management tasks, reducing complexity and engineering efforts. Together, these technologies optimize big data workloads, minimize downtime, and enhance operational efficiency, resulting in simplified data workflows.

Accelerate and secure your machine learning projects

Leverage Vultr Cloud GPU, accelerated by NVIDIA, and SQream’s GPU-based data processing to supercharge machine learning models, ensuring faster training and deployment. Vultr’s security features, including IAM and VPC, and a global cloud data center network, make managing AI workloads seamless across on-premises, hybrid, and multi-cloud environments. This combination ensures secure, efficient handling and rapid deployment of ML models, providing businesses with the reliability needed for advanced AI applications.

Enhanced decision-making and productivity

Vultr's low-latency cloud infrastructure, combined with SQream's rapid query execution, ensures timely, actionable insights, empowering businesses to make better strategic decisions and enhance operational efficiency. Data processing automates management tasks and streamlines workflows, significantly reducing the need for extensive engineering support and boosting productivity. This powerful synergy allows companies to focus on innovation and growth, leveraging data for strategic planning.

Drive ROI with fast data processing

SQream's GPU-powered data processing platform reduces hardware needs, while Vultr's affordable pricing cuts your total cost of ownership. This combination minimizes costs, allowing budget reallocation. It delivers exceptional price-to-performance with insights to enhance decision-making and drive business success.

Tackle big data with high-performance computing

Combining high-performance cloud computing with advanced data processing to tackle the challenges of big data analytics enables enterprises to derive insights from massive datasets quickly.

Machine Learning management

Deploy and manage your ML models seamlessly with Vultr Cloud GPU, accelerated by NVIDIA’s cutting-edge technology and SQream's GPU-powered processing capabilities, ensuring secure, efficient handling and rapid deployment for advanced applications.

Advanced connectivity

SQream and Vultr can seamlessly connect with existing data ecosystems, facilitating smooth data flow and analytics. SQream's compatibility with industry-standard connectors, including ODBC, JDBC, and Python, supports this connection.

Swift time-to-market

Leverage SQream and Vultr's integrated tools and optimized infrastructure to accelerate AI deployment and management, enabling data scientists to focus on building and fine-tuning models without infrastructure concerns.

Fast analytics for
petabyte-scale data

Vultr's seamless integration with SQream leverages GPU acceleration for rapid analytics, enabling organizations to gain time-sensitive insights quickly and efficiently. It features a petabyte-scale SQL database optimized for complex queries and large datasets.

Fast-track ML and data analytics
with SQream and Vultr

The SQream and Vultr partnership delivers rapid, scalable, and cost-efficient data processing for enterprises. Utilizing Vultr’s NVIDIA GPU-accelerated cloud compute to power SQream’s platform, it offers faster insights and enhanced productivity. This solution assists data science engineers and AI managers, enabling industries like finance, healthcare, manufacturing, media, retail, and telecommunications while ensuring robust data security and compliance.


Use cases

SQream and Vultr efficiently handle big data and analytics with NVIDIA accelerated computing platform and scalable cloud infrastructure.

Big data analytics

Leveraging GPU acceleration for efficient petabyte-scale data analysis and rapid query execution enables quick processing and analysis of large datasets. This approach provides timely insights, supports informed decision-making, and drives strategic initiatives, helping organizations stay competitive and responsive to market demands.

Data processing

Managing and analyzing data streams to derive actionable insights is crucial for businesses. This approach enables high-speed data ingestion and analytics, supported by low-latency cloud infrastructure. As a result, businesses can quickly adapt to changing conditions and opportunities.

Machine learning

To efficiently develop machine learning models, use GPU-accelerated processing and a global data center network for faster training and deployment. This setup is ideal for cutting data preparation time by up to 90% and dramatically decreasing time to market, ensuring consistent performance across various environments.

Computational power

GPU-accelerated instances offer the computational power necessary for demanding tasks in scientific research, complex simulations, and advanced analytics. This ensures rapid processing and enhanced performance, for faster insights and more actionable outcomes.

Industry-specific

Solutions that deliver insights, optimize processes, and enhance customer experiences support diverse industry use cases. These scalable and cost-effective technologies are fundamental components to effortlessly assemble data stacks tailored to any specific need.

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Vultr Cloud Alliance stack

Achieve top-tier performance for AI/ML applications with Vultr's cloud infrastructure, Console Connect's private network, DDN's storage, Qdrant's vector database, Run:ai's orchestration and SQream’s GPU-accelerated data processing and analytics.