The NVIDIA DeepStream SDK is a comprehensive real-time streaming analytics toolkit based on GStreamer for AI-based multi-sensor processing, video, audio, and image understanding. It’s ideal for developers, software partners, startups, and OEMs building vision AI agents, applications, and services for a wide range of industries like smart cities, retail, manufacturing, and more.You can now create and deploy stream-processing pipelines that incorporate generative AI and other complex processing tasks like multi-camera tracking in minutes. To further accelerate development, DeepStream is also par
DeepStream SDK…Hayate Iso , , , , , , , , , , , , , , , , , Abstract Speculative decoding accelerates RL post-training by preserving output distributions while improving rollout throughput, with projected 2.5x speedup at large scales. AI-generated summary RL post-training of…
…of the AI stack. Get the most performance from your end-to-end pipeline on all your available hardware. Accelerate end-to-end data science and machine learning pipelines using Python tools…
Advancing Windows ML Acceleration with AMD at Microsoft Build 2026 Jun 02, 2026 Since Microsoft Ignite 2025, AMD has continued advancing NPU- and GPU-accelerated AI on Windows, with a focus on…
…His past research and working experience is mainly in HPC and AI/ML and computer vision. At NVIDIA, he is a developer technology AI engineer focusing on accelerating ML/DL workloads on…
This is an upgrade of a tool I created 15 years ago in Python to learn OOP and solve some inadequacies in the HDR stacking tools I could find at the time. The problem was, none of them were really "batch friendly". None …
Hi HN, we’re Rishi and Sahil. We’ve developed Rudus (https://www.rudus.ai/), an AI-powered takeoff and estimation platform built for concrete subcontractors.Takeoff is the process of measuring and quantifying materials f…
…This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset…
…NVIDIA Holoscan for Media Holoscan for Media accelerates the industry’s adoption of AI by connecting next-generation models with uncompressed live media pipelines to deliver innovative viewer experiences and production processes…
…This massive volume of data must be processed and analyzed in real time to steer scientific experiments and accelerate discovery. Traditional CPU-bound pipelines require significant manual parameter tuning and subsampling, often…
…Modern distributed AI pipelines are being built around Kubernetes-first architectures, with increasingly modular infrastructure designs that prioritize flexibility and direct access to accelerated compute. In those environments, VMware is not typically…
…Accelerated computation enables physics-informed AI training The CUDA Python stack provides an integrated solution for: Developing accelerated mathematical kernels and functions which are widely compatible with the Python ecosystem when existing…
…AOCL as a Practical Option for Accelerating Picard Workflows May 19, 2026 Introduction In genomics research, processing billions of DNA sequence reads efficiently is critical. Modern genomics pipelines rely heavily on tools…
