How to Write a Test Plan for AI Infrastructure
A practical guide to AI infrastructure testing, covering acceptance criteria, FAT, SAT, UAT, performance validation, and risk management for AI
Improve Performance, Utilisation and Cost Efficiency
Many AI and HPC platforms deliver far less than their theoretical performance.
Underutilised GPUs, inefficient scheduling, storage contention and poorly optimised workloads can leave expensive infrastructure sitting idle while users experience longer wait times and slower results. We help organisations identify and remove performance bottlenecks, improve utilisation across compute, storage and networking, and maximise the value of existing infrastructure investments.
Specialist Expertise
GPU Optimisation
Improve utilisation and accelerate AI training and inference workloads.
Including: Bottlenecks, memory management
HPC Performance Tuning
Increase throughput and improve scheduler efficiency.
Including: Slurm, Kubernetes, PBS
Distributed AI Workloads
Optimise communication and scaling across multi-node environments.
Including: NCCL, distributed multi node training and distributed multi node inference
Cost & Capacity Optimisation
Balance performance, utilisation and operational expenditure.
Including: AWS, Azure, on-premises
With unparalleled experience in deploying major, multi-million-pound systems worldwide, Red Oak Consulting stands as a leader in the field.
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High-Performance Computing projects delivered
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HPC projects delivered on time
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HPC procurements ranging from £100K to £500 million
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Proven track record of customer satisfaction
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HPC in the Cloud projects
Typical Outcomes
- Reduced training times.
- Improved GPU utilisation.
- Increased cluster throughput.
- Lower infrastructure costs.
- Reduced operational complexity.
Red Oak made the whole project go smoothly and they understood our expectation. The Team was very friendly and approachable and showed a high level of professionalism. The Red Oak Team put a lot of effort in the commissioning and it was hugely appreciated.”
Swansea University,
College of Engineering
The procurement was highly successful. Owen was highly professional and highly knowledgeable. And Mark really saved the day for us. Both Owen and Mark smoothly integrated into the KAUST team but more importantly, believed in our mission to deliver this computer in order to support the global ambitions of KAUST and the kingdom of Saudi Arabia.”
King Abdullah University of Science and Technology
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