- Assess AI training and inference workloads and translate business and technical requirements into infrastructure architecture, system specifications and capacity plans.
- Evaluate heterogeneous computing platforms, including Intel and AMD CPUs, NVIDIA GPUs, and accelerators such as Ascend NPUs and Google TPUs, to determine workload suitability and identify potential performance bottlenecks.
- Develop plans for…
📌 AI Infrastructure architect (Markham)
🏢 Titan power
📍 Markham
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