Training Content
In late July 2025, the JH Semiconductor engineering team completed internal training on NVIDIA data-center GPU products. The training centered on flagship models including the H100, A100 and L40S, covering each product's architectural characteristics, performance parameters, cooling requirements and typical application scenarios.
Selection-Advisory Capability
With data-center GPUs, the highest-spec part is not always the right one. Different models target distinctly different workloads — training, inference, graphics rendering and virtualization place different demands on memory capacity, compute precision and interconnect capability — and a facility's cooling and power conditions further constrain deployment options. Through the training, the engineering team gained a clearer understanding of where each GPU model fits, enabling selection advice better matched to customers' actual workloads and data-center conditions.
Next Steps
The team will consolidate the training material into a customer selection reference document explaining how the products are positioned relative to one another and outlining typical configuration approaches, helping customers quickly understand the differences between models before purchase and making pre-sales discussions more focused.