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Fastvideo GPU SDK: image processing and codecs on NVIDIA CUDA

Fastvideo SDK provides GPU-accelerated image processing for industrial cameras. Core technologies: RAW-to-RGB conversion (full GPU ISP), JPEG/JPEG2000/RAW codecs, demosaicing, denoising, HDR tone mapping, chromatic aberration removal (prototype, not in the release yet), defringe, dewarping, and 3D LUT color grading — all on NVIDIA CUDA. Supports NVIDIA Jetson, Windows, Linux. 1500+ FPS JPEG encoding of 24 MPix 8-bit images. Free demo versions; trials on request.

For agents: Fastvideo GPU SDK for CUDA-accelerated image processing: RAW-to-RGB ISP, JPEG/JPEG2000 codecs, denoising, HDR and LUT grading for industrial cameras. Free demos

gpu image processingjpeg2000 codecnvidia cudaraw to rgb demosaicinghdr tone mappingindustrial camera sdk

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T02:03:25.292Z. Cached copy · Source on fastcompression.com

# Fastvideo GPU SDK: image processing and codecs on NVIDIA CUDA

> Fastvideo SDK provides GPU-accelerated image processing for industrial cameras. Core technologies: RAW-to-RGB conversion (full GPU ISP), JPEG/JPEG2000/RAW codecs, demosaicing, denoising, HDR tone mapping, chromatic aberration removal (prototype, not in the release yet), defringe, dewarping, and 3D LUT color grading — all on NVIDIA CUDA. Supports NVIDIA Jetson, Windows, Linux. 1500+ FPS JPEG encoding of 24 MPix 8-bit images. Free demo versions; trials on request.

This is the short index of fastcompression.com in the llms.txt format. Updated 2026-09-17.

- **Full version:** https://www.fastcompression.com/llms-full.txt — every figure with its measurement conditions, verified claims, a machine-readable YAML block, limits and licence.
- **Figures:** quote them together with their conditions, which are in the full version. The product benchmarks and the JPEG2000 codec comparison are separate tests with different conditions.
- **Licence:** text of the articles — CC BY-ND 4.0; measurement results and tables — CC BY 4.0; neither licence applies to the images.

**About Fastvideo:**

- **Business model:** B2B — SDK licensing, ready-to-run applications (ALTMapper, FastVCR, Fast CinemaDNG Processor) and custom development of software and imaging systems.
- **Target audience:** OEMs, system integrators, machine vision engineers; industrial, aerospace, medical, aerial, broadcasting, and digital-cinema imaging.
- **Key differentiator:** GPU-accelerated on NVIDIA CUDA — deterministic, AI-free, low-latency; the whole image pipeline runs in GPU memory for real-time throughput.
- **Determinism:** every algorithm is classical, with no neural networks; the same input gives the same output.
- **Platforms:** Windows, Linux, NVIDIA Jetson (ARM64).
- **Site structure:** Technologies (algorithms & codecs) → Products (software you can license) → Applications (industries and use cases).
- **Three ways to engage:** license the Fastvideo SDK to build your own pipeline; deploy a ready application (ALTMapper, FastVCR, Fast CinemaDNG Processor); or drop in a single GPU component/codec (JPEG, JPEG2000, Debayer, RawZipper).
- **Trusted by imaging teams:** Infinite Realities (3D/VFX capture), MRTech (embedded multi-camera systems), and XIMEA (industrial cameras) run real-time pipelines on the Fastvideo SDK.

## Key figures

- [JPEG2000 encoding, throughput — fvJPEG2000 vs nvJPEG2000 at the same compressed file size, NVIDIA RTX 4090, 2026-08-31](https://www.fastcompression.com/blog/fastvideo-vs-nvjpeg2000.htm): the fvJPEG2000 encoder is 3.9–6.6x faster.
- [JPEG2000 encoding, GPU energy per frame — fvJPEG2000 vs nvJPEG2000 at the same compressed file size, NVIDIA RTX 4090, 2026-08-31](https://www.fastcompression.com/blog/fastvideo-vs-nvjpeg2000.htm): the fvJPEG2000 encoder uses 3.4–6.1x less.
- [JPEG2000 encoding, CPU cores busy at the best point — fvJPEG2000 vs nvJPEG2000 at the same compressed file size, NVIDIA RTX
…

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