Developer Tools & Techniques
Dec 17, 2025
Real-Time Decoding, Algorithmic GPU Decoders, and AI Inference Enhancements in NVIDIA CUDA-Q QEC
Real-time decoding is crucial to fault-tolerant quantum computers. By enabling decoders to operate with low latency concurrently with a quantum processing unit...
6 MIN READ
Dec 17, 2025
Migrate Apache Spark Workloads to GPUs at Scale on Amazon EMR with Project Aether
Data is the fuel of modern business, but relying on older CPU-based Apache Spark pipelines introduces a heavy toll. They’re inherently slow, require large...
7 MIN READ
Dec 17, 2025
Simulate an Accurate Radio Environment Using NVIDIA Aerial Omniverse Digital Twin
The development of 5G and 6G requires high-fidelity radio channel modeling, but the ecosystem is highly fragmented. Link-level simulators, network-level...
10 MIN READ
Dec 16, 2025
Advanced Large-Scale Quantum Simulation Techniques in cuQuantum SDK v25.11
Simulating large-scale quantum computers has become more difficult as the quality of quantum processing units (QPUs) improves. Validating the results is key to...
11 MIN READ
Dec 16, 2025
AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025
2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI...
4 MIN READ
Dec 16, 2025
Boost GPU Memory Performance with No Code Changes Using NVIDIA CUDA MPS
NVIDIA CUDA developers have access to a wide range of tools and libraries that simplify development and deployment, enabling users to focus on the “what”...
14 MIN READ
Dec 12, 2025
How to Scale Fast Fourier Transforms to Exascale on Modern NVIDIA GPU Architectures
Fast Fourier Transforms (FFTs) are widely used across scientific computing, from molecular dynamics and signal processing to computational fluid dynamics (CFD),...
8 MIN READ
Dec 12, 2025
How to Build Privacy-Preserving Evaluation Benchmarks with Synthetic Data
Validating AI systems requires benchmarks—datasets and evaluation workflows that mimic real-world conditions—to measure accuracy, reliability, and safety...
11 MIN READ
Dec 10, 2025
Enhancing Communication Observability of AI Workloads with NCCL Inspector
When using the NVIDIA Collective Communication Library (NCCL) to run a deep learning training or inference workload that uses collective operations (such as...
6 MIN READ
Dec 10, 2025
Better Bug Detection: How Compile-Time Instrumentation for Compute Sanitizer Enhances Memory Safety
CUDA C++ is standard C++ with extensions that enable functions to run on many parallel threads on a GPU. It has facilitated widespread adoption while allowing...
11 MIN READ
Dec 09, 2025
Top 5 AI Model Optimization Techniques for Faster, Smarter Inference
As AI models get larger and architectures more complex, researchers and engineers are continuously finding new techniques to optimize the performance and...
6 MIN READ
Dec 09, 2025
Improve AI-Native 6G Design with the NVIDIA Aerial Omniverse Digital Twin
AI-native 6G networks will serve billions of intelligent devices, agents, and machines. As the industry moves into new spectrums like FR3 (7–24 GHz), radio...
8 MIN READ
Dec 08, 2025
Automate Kubernetes AI Cluster Health with NVSentinel
Kubernetes underpins a large portion of all AI workloads in production. Yet, maintaining GPU nodes and ensuring that applications are running, training jobs are...
7 MIN READ
Dec 05, 2025
NVIDIA Kaggle Grandmasters Win Artificial General Intelligence Competition
NVIDIA researchers on Friday won a key Kaggle competition many in the field treat as a real-time pulse check on humanity’s progress toward artificial general...
3 MIN READ
Dec 04, 2025
NVIDIA CUDA 13.1 Powers Next-Gen GPU Programming with NVIDIA CUDA Tile and Performance Gains
NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago. In this release,...
11 MIN READ
Dec 04, 2025
Simplify GPU Programming with NVIDIA CUDA Tile in Python
The release of NVIDIA CUDA 13.1 introduces tile-based programming for GPUs, making it one of the most fundamental additions to GPU programming since CUDA was...
7 MIN READ