The NVIDIA GeForce RTX 4090 is the newest GPU for gamers, creators, students, and researchers, offering significantly higher training throughput and a more cost-effective option in terms of training throughput/$ compared to its predecessor, the GeForce RTX 3090. The RTX 4090's Training throughput/Watt is comparable to the RTX 3090, despite its high power consumption of 450W. Multi-GPU training scales reasonably well for RTX 4090, with most models getting close to double the training throughput with two GPUs. However, some sub-optimal scaling was observed. The RTX 4090 consistently outperformed the RTX 3090 in multi-GPU tests. Despite its high power consumption and larger size compared to the RTX 3090, the RTX 4090 is a great option for deep learning workloads due to its superior performance and cost-effectiveness.