Nima Tajbakhsh

Nima Tajbakhsh is a deep learning algorithm manager with eight years of industry expertise, specializing in computer vision, LLM, and multimodal GenAI models. Within NVIDIA NeMo, he spearheads the development and optimization of training and inference workflows for diverse GenAI models. By integrating cutting-edge AI technologies, his team drives innovation and advancement in the field, ensuring NeMo remains at the forefront of AI research and application.
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Posts by Nima Tajbakhsh

Agentic AI / Generative AI Feb 23, 2026

Using NVFP4 Low-Precision Model Training for Higher Throughput Without Losing Accuracy

As the sizes of AI models and datasets continue to increase, relying only on higher-precision BF16 training is no longer sufficient. Key challenges such as... 8 MIN READ
Agentic AI / Generative AI Apr 26, 2024

Enhance Text-to-Image Fine-Tuning with DRaFT+, Now Part of NVIDIA NeMo

Text-to-image diffusion models have been established as a powerful method for high-fidelity image generation based on given text. Nevertheless, diffusion models... 10 MIN READ