Accelerated Computing: Beyond Just GPUs
Below, we break down the structure of an AI stack, highlighting the key layers that drive accelerated AI computing. Many suppliers focus on just one component or even a single GPU. We understand AI workloads demand a fully integrated approach where every layer—both hardware and software—works in sync. This ensures not only raw performance but also efficiency, scalability and adaptability to evolving AI models and workloads.
Orchestration
Orchestration
This layer coordinates various AI services and components, ensuring seamless integration and optimising the workflow from data ingestion to model deployment.
MDCS.AI's Role: We work with your organisation to configure the orchestration layer and optimise your AI infrastructure. This creates transparency on which departments, workloads, and users use the AI facility.
MDCS.AI's Role: We work with your organisation to configure the orchestration layer and optimise your AI infrastructure. This creates transparency on which departments, workloads, and users use the AI facility.
Applications
Applications
The top layer comprises AI applications that deliver insights and automation based on the underlying infrastructure and data.
MDCS.AI's Role: With our partners, we support organisations in developing and implementing tailored AI solutions that align with their business needs and objectives.
MDCS.AI's Role: With our partners, we support organisations in developing and implementing tailored AI solutions that align with their business needs and objectives.
Kubernetes
Kubernetes
Kubernetes enables orchestration for containerised AI applications, enhancing scalability and flexibility. It allows organisations to deploy and manage AI models efficiently across different environments.
MDCS.AI's Role: We configure your Kubernetes environment with specialised partners to align with your specific requirements and workloads.
MDCS.AI's Role: We configure your Kubernetes environment with specialised partners to align with your specific requirements and workloads.
Management
Management
Effective AI infrastructure management includes monitoring, maintenance, and optimisation to ensure maximum performance and uptime. This enables efficient resource allocation and seamless AI operations.
MDCS.AI's Role is to help select and implement the best management software and offer managed services tailored to your specific needs.
MDCS.AI's Role is to help select and implement the best management software and offer managed services tailored to your specific needs.
Infrastructure
Infrastructure
The hardware layer consists of powerful GPUs and CPUs capable of handling intensive AI computations, complemented by high-performance networking and scalable storage to ensure seamless data flow and accessibility. As an NVIDIA Elite Partner, MDCS.AI provides optimised IT infrastructures that meet the demands of AI workloads.
MDCS.AI's Role: Our core business is designing and delivering the optimal balance of compute, storage, and networking. From scalable AI infrastructure solutions like NVIDIA AI Factories with DGX Reference Architecture to flexible OEM AI platforms and single workstations, we ensure that your AI stack has the right performance, connectivity, and data management to support your needs.
MDCS.AI's Role: Our core business is designing and delivering the optimal balance of compute, storage, and networking. From scalable AI infrastructure solutions like NVIDIA AI Factories with DGX Reference Architecture to flexible OEM AI platforms and single workstations, we ensure that your AI stack has the right performance, connectivity, and data management to support your needs.
Data Center
Data Center
A robust and scalable data centre infrastructure provides the necessary computing power and storage capacity for AI processes. This includes advanced cooling, power supply, and physical security to ensure the continuity and safety of AI operations.
MDCS.AI's Role: We work with a network of data center providers, ranging from local and global colocation partners to companies specializing in modular data centers. Together with our customers, we identify the optimal solution and ensure seamless implementation and ongoing support.
MDCS.AI's Role: We work with a network of data center providers, ranging from local and global colocation partners to companies specializing in modular data centers. Together with our customers, we identify the optimal solution and ensure seamless implementation and ongoing support.
Connectivity
Connectivity
Fast and reliable network connections are essential for transporting large volumes of data and enabling real-time AI computations.
MDCS.AI's Role: We handle the full connectivity between your location and the AI facility, from consultancy and design to implementation and management.
MDCS.AI's Role: We handle the full connectivity between your location and the AI facility, from consultancy and design to implementation and management.
Data
Data
High-quality, well-structured data is the foundation of any AI application. Collecting, cleaning, and preparing datasets and developing a robust data pipeline architecture is crucial for accurate and reliable AI results.
MDCS.AI's Role: We work closely with experienced data engineering and data science service providers specialising in data infrastructure, pipeline development, and advanced analytics.
MDCS.AI's Role: We work closely with experienced data engineering and data science service providers specialising in data infrastructure, pipeline development, and advanced analytics.
Financing
AI infrastructure investments require careful financial planning. Understanding the impact of different financial structures—such as CapEx, OpEx, and Lifecycle Management—is essential for aligning AI investments with your organisation's strategy. Lifecycle Management offers flexibility, allowing you to regularly upgrade to newer generations of GPUs. Additionally, a transparent financial comparison between cloud and on-premises AI solutions ensures optimal cost efficiency.
MDCS.AI's Role: We provide financial expertise and insights to help organisations navigate AI investment decisions. Our Total Cost of Ownership (TCO) calculator clearly compares cloud-based and in-house AI infrastructure, ensuring informed decision-making.
MDCS.AI's Role: We provide financial expertise and insights to help organisations navigate AI investment decisions. Our Total Cost of Ownership (TCO) calculator clearly compares cloud-based and in-house AI infrastructure, ensuring informed decision-making.
Enablement
An AI stack is only as effective as the people managing and utilising it. Ensuring that teams have the right skills and knowledge to operate AI infrastructure is critical for maximising its potential. Tailored training and support programs empower organisations to efficiently manage their AI workloads and drive innovation.
MDCS.AI’s Role: Together with our partners, we develop customised training and enablement programs based on role and competency analyses. We ensure your teams have the expertise to optimise AI infrastructure usage and performance.
MDCS.AI’s Role: Together with our partners, we develop customised training and enablement programs based on role and competency analyses. We ensure your teams have the expertise to optimise AI infrastructure usage and performance.
Compliance
Compliance
AI must comply with laws like the EU AI Act and GDPR to ensure ethical use, data security, and transparency. Proper governance minimises risks and provides legal certainty.
MDCS.AI's Role: We help organisations navigate AI regulations, implement compliance frameworks, and align AI operations with legal and industry standards through expert guidance.
MDCS.AI's Role: We help organisations navigate AI regulations, implement compliance frameworks, and align AI operations with legal and industry standards through expert guidance.