A comprehensive set of APIs for hardware accelerated video encode and decode on Windows and Linux.

NVDEC (formerly known as NVCUVID[1]) is a feature in Nvidia graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2]

To install nvImageCodec with all the optional dependencies, you can do. Alternatively, you can specify a subset of the dependencies: nvjpeg, nvjpeg2k, nvtiff. Here are some examples: In the following …

Mar 16, 2026 · In this blog we explore how FFmpeg uses Vulkan Compute to seamlessly accelerate encoding and decoding of even professional-grade video on consumer GPUs — unlocking GPU …

Jan 30, 2026 · PyNvVideoCodec is NVIDIA's Python-based library that provides simple yet powerful Python APIs for hardware-accelerated video encoding and decoding on NVIDIA GPUs. …

Hardware-accelerated video decoding has rapidly become a necessity, as low-power devices grow more common. This tutorial (more of a lecture, actually) gives some background on hardware acceleration …

Among all these tasks, combining guided decoding with one-model speculative decoding is the most challenging one, and it achieves the best performance for low-latency or throughput@latency …

Feb 25, 2025 · A more efficient approach is to keep the entire pipeline on the GPU, from video decoding to inference, eliminating redundant CPU-GPU transfers. This can be achieved using FFmpeg with …

All NVIDIA® GPUs starting with Kepler generation support fully-accelerated hardware video encoding and decoding. The hardware encoder and hardware decoder are referred to as NVENC and NVDEC, …

2 days ago · Christopher Maher Posted on Apr 5 I tested speculative decoding on my home GPU cluster. Here's why it didn't help. # llm # kubernetes # gpu # ai I spent Saturday night testing n-gram …