.png?width=1200&name=Exxact-Deep-Learning-Whitepaper-Banner-1200x400%20(1).png)
The NVIDIA RTX and Data Center GPU Benchmarks for Deep Learning whitepaper reviewed by PNY and NVIDIA, but developed and published by EXXACT, takes a careful and nuanced look at ResNet-50, a popular means of measuring the performance of machine learning (ML/AI) accelerators. NVIDIA's Data Center GPUs were tested with the Amber 22 GPU benchmark. Since Amber is a popular molecular dynamics application it gives real-world context to the outstanding benefits GPU acceleration offers for the scientific and technical computing community.
Whether your AI and Deep learning initiatives involve image classification, NLP (Natural language Processing), recommender systems or big data analytics, NVIDIA, PNY, and EXXACT can deliver the hardware your projects require. The dominance of GPUs for HPC-driven tasks is another area, as this paper amply demonstrates, where NVIDIA-based solutions simply outperform any CPU-based approach.
Visit these resources for more information:
