Iris Coleman
April 22, 2025 03:41
NVIDIA TENSORRT optimizes Adobe Firefly, reducing the waiting time by 60% and reducing the cost by 40%, improving video production efficiency with the FP8 quantification of the HOPPER GPU.
According to NVIDIA’s recent blog posts, NVIDIA’s TensOrt greatly improved the efficiency of the adobe Firefly’s video creation model, providing a 60% reduction and a 40% reduction in total costs (TCO). This optimization uses the FP8 quantification function of the NVIDIA HOPPER GPU to provide more efficiently and provide more users with less GPUs.
Converted video creation to TensRT
Adobe’s cooperation with NVIDIA played an important role in optimizing the performance of the Firefly video creation model. The placement of TensRT in the AWS EC2 P5/P5EN instance, driven by the HOPPER GPU allows Adobe to improve the scalability and efficiency. This distribution strategy was decisive in achieving fast markets for Firefly. Firefly became one of Adobe’s most successful beta launches, creating more than 70 million images in the first month.
Advanced optimization and technology
Using TensRT, Adobe has implemented some optimization strategies for the Firefly model. This includes a reduction in memory bandwidth through FP8 quantization, which reduces memory footprints while accelerating tensor core work. In addition, the smooth model portability provided by the support of TensRT for PyTorch, Tensorflow and ONNX has promoted efficient distribution.
The optimization process included exporting the model to ONNX, implementing a mixed precision with FP8 and BF16, and using post -training quantization technology. Such measures are more accessible and cost -effective by reducing the demand for video diffusion models.
Expansion and cost efficiency
Distributing Firefly to AWS’s powerful cloud infrastructure has improved its expansion and efficiency. The integration of TensRT has greatly saved the cost of Adobe’s creative applications and improved performance. Firefly minimizes the calculation resources required for model reasoning, providing more users with fewer GPUs to reduce operating costs.
Overall, the placement of NVIDIA TensRT has set up a new standard for the generated AI model, showing the possibility of rapid development and strategic technology innovation in the field. As Adobe continues to pursue the boundaries of Creative AI, the lessons learned in Firefly’s development will inform the future development.
For more information about this technology development, visit the NVIDIA developer blog.
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