This versatile GPU comes in a PCIe single-slot low-profile form factor with a 72 W power envelope.

Hardware-accelerated image and video processing engines, including AV1 encode/decode.

The NVIDIA L4 GPU is based on the NVIDIA Ada Lovelace architecture and has the following features: Ada Lovelace architecture L4 Tensor Core GPU You will find proven results for use cases ranging from video streaming to drug discovery and learn how you can experience the difference of running an AI workload on the L4 GPU today. In this post, we walk through how mainstream servers with the L4 GPUs provide more AI video performance and enable more video streams compared to the previous generation (T4). The L4 GPU is now the universal, energy-efficient accelerator designed to meet AI needs for video, visual computing, graphics, virtualization, generative AI, and numerous applications for edge computing.

T4 GPUs were deployed into use cases for AI inference, cloud gaming, video, and visual computing.Īt the NVIDIA GTC 2023 keynote, NVIDIA introduced several inference platforms for AI workloads, including the NVIDIA T4 successor: the NVIDIA L4 Tensor Core GPU. T4 GPUs achieved widespread adoption and are now the highest-volume NVIDIA data center GPU. NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers.

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