Unlock the Power of Insights With the Right AI Infrastructure
A strong AI infrastructure provides the foundational capabilities enterprises need to support artificial intelligence workloads and applications.
We offer tailored AI infrastructure and engineering solutions that provide the compute power and resources needed to process big data workloads, train AI models, and deploy AI applications at scale.
- Compute Resources. AI workloads require significant computational power enabled by high-performance CPUs, GPUs, and in some cases, TPUs.
- Storage. AI applications process massive volumes of data, so high-capacity storage is critical for handling workloads.
- Software Frameworks. Software frameworks and libraries provide tools and APIs for building, training, and deploying AI models.
Our Solutions
Enabling the right AI infrastructure to power your enterprise AI applications and solutions.
Data Storage
We provide clients robust data storage solutions that can handle massive volumes of data and ensure data availability for model training, development, and inference, to drive informed decision-making across the enterprise.
Data Architecture
Our experts design and deploy data architectures that enable efficient data integration, data quality and consistency, and robust support for analytics. Organizations can democratize data, optimize data flows, and propel insights across the enterprise.
Data Engineering
Sutherland’s data engineering and advanced analytics solutions, augmented by AI and ML platforms, help you seamlessly embed analytics across the organization and deliver critical business insights at the point of decision-making.
DataOps
We help clients streamline and automate processes that manage, monitor, and deliver data across the entire data life cycle. With DataOps, your teams can better adapt to evolving business, accelerate time-to-value of data initiatives, and reduce operational costs.
Unlocking Digital Performance
Enhanced Efficiency and Productivity
With a robust AI infrastructure, automate repetitive tasks, optimize workflows, and free up human resources to improve operational efficiency.
Improved Decision-Making
Analyze vast amounts of data to generate actionable insights, predict trends and outcomes, and identify potential risks, helping organizations make informed decisions.
Scalability
Scale your AI infrastructure rapidly to handle increasing amounts of data without a proportional increase in resources.
Propel Innovation
Drive innovation by enabling the development of new products and services with the right AI infrastructure.
