
An Unconventional Career in HPC
Building the Foundations for HPC Most people encounter high-performance computing (HPC) through software, simulations, modelling, or increasingly, artificial intelligence workloads.
Home » AI Infrastructure » AI Performance Optimisation Services
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.
Improve utilisation and accelerate AI training and inference workloads.
Including: Bottlenecks, memory management
Increase throughput and improve scheduler efficiency.
Including: Slurm, Kubernetes, PBS
Optimise communication and scaling across multi-node environments.
Including: NCCL, distributed multi node training and distributed multi node inference
Balance performance, utilisation and operational expenditure.
Including: AWS, Azure, on-premises
High-Performance Computing projects delivered
HPC projects delivered on time
HPC procurements ranging from £100K to £500 million
Proven track record of customer satisfaction
HPC in the Cloud projects
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.”
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.”
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Building the Foundations for HPC Most people encounter high-performance computing (HPC) through software, simulations, modelling, or increasingly, artificial intelligence workloads.

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