HPC & Gen AI Workloads
Making the most of today’s AI revolution requires more than investing in new hardware. While choosing the appropriate hardware is essential, the real starting point is a deep look at your organisational data.
The principle of “you get out what you put in” has never been more relevant – your AI strategy will only be as strong as the data foundation behind it.
Converge’s service provides your organisation with a clear, evidence-based assessment of your readiness for AI and identifies the highest-value and most feasible AI Use Cases.
Working with Converge you’ll get:
- An AI Opportunity Map identifying potential AI applications across business functions and a Feasibility v Value Matrix to assist decision making on the value of Use Cases.
- A Data Readiness Report detailing strengths, gaps, and risks in the current data landscape and practical recommendations to improve your AI readiness.
- A prioritised roadmap detailing actionable next steps in an executive presentation and report to enable buy-in.
- A high-level solution design, including all aspects of deployment.
Successful AI implementation: A methodical approach
Our experts will take you through a structured process to ensure you’re able to realise the huge potential of AI to transform the way you work. Our methodology typically looks like this:
Days 1-2: Discovery and alignment - our experienced team will work with key stakeholders to understand your objectives and define the scope of analysis.
Days 3-4: Stakeholder Interviews - we conduct interviews across business functions/units to capture current processes and identify opportunities for AI.
Days 5-6: Value Stream and Use Case Analysis - our experts will map critical value streams and identify points of inefficiency or waste and generate potential AI Use Cases, evaluating each against feasibility (data/tech) and business value (impact/ROI potential).
Days 7-8: Data Feasibility Assessment - Data experts audit the various data sources, assessing quality, completeness, accessibility, and governance, and score data readiness.
Days 9-10: Recommendations – a final presentation and report use cases will be ranked on a feasibility vs. value matrix, and recommendations aligned with business objectives. Our AI architects will present potential solution designs alongside a roadmap of recommended next steps.
The right solutions for you
Once we understand your objectives and your data architecture, we’ll be in the best place to advise on appropriate hardware options to deliver your vision. Depending on your needs, this could be anything from our popular NVIDIA DGX Spark supercomputer up to a full data centre, and every kind of laptop, desktop, workstation or server in between from top brands including HP, Dell, PNY, Lenovo and more.
