New NVIDIA Broadcast AI Features Now Streaming With GeForce RTX 50 Series GPUs
New GeForce RTX 5090 and RTX 5080 GPUs - built on the NVIDIA Blackwell architecture - are now available to power generative AI content creation and accelerate creative performance. GeForce RTX 5090 and RTX 5080 GPUs feature fifth-generation Tensor Cores with support for FP4, reducing the VRAM requirements to run generative AI models while doubling performance. For example, Black Forest Labs' FLUX models - available on Hugging Face this week - at FP4 precision require less than 10 GB of VRAM, compared with over 23 GB at FP16. With a GeForce RTX 5090 GPU, the FLUX.1 [dev] model can generate images in just over five seconds, compared with 15 seconds on FP16 or 10 seconds on FP8 on a GeForce RTX 4090 GPU.
GeForce RTX 50 Series GPUs also come equipped with ninth-generation encoders and sixth-generation decoders that add support for 4:2:2 and increase encoding quality for HEVC and AV1. Fourth-generation RT Cores paired with DLSS 4 provide creators with super-smooth 3D rendering viewports. The GeForce RTX 5090 GPU includes 32 GB of ultra-fast GDDR7 memory and 1,792 GB/sec of total memory bandwidth - a 77% bandwidth increase over the GeForce RTX 4090 GPU. It also includes three encoders and two decoders, reducing export times by a third compared with the prior generation.
GeForce RTX 50 Series GPUs also come equipped with ninth-generation encoders and sixth-generation decoders that add support for 4:2:2 and increase encoding quality for HEVC and AV1. Fourth-generation RT Cores paired with DLSS 4 provide creators with super-smooth 3D rendering viewports. The GeForce RTX 5090 GPU includes 32 GB of ultra-fast GDDR7 memory and 1,792 GB/sec of total memory bandwidth - a 77% bandwidth increase over the GeForce RTX 4090 GPU. It also includes three encoders and two decoders, reducing export times by a third compared with the prior generation.