A year ago, NVIDIA open sourced its Aerial wireless software, joining Sionna and a broader suite of open source tools for accelerating next-generation 6G network development. Together, they give researchers a foundation for testing ideas, comparing results and building on each other’s work — connecting simulation and AI training with experiments on real over-the-air wireless systems.
How NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks

From the official release
Today, researchers and developers are using these tools to build 6G-ready networks that do more than just transmit data — receiving signals more effectively, keeping robots and autonomous systems connected when it matters most, and adapting in real time as devices move through the world.
This is a short excerpt. Read the full announcement on the official source.
Continue on blogs.nvidia.com → (opens in a new window)Related stories

Amazon CloudWatch Logs announces account-level retention policies
AWS What’s New
Amazon CloudWatch Logs now supports account-level retention policies, so you can use a single policy to set how long log data is kept across all or subset of log groups in an AWS account. Account-level policies allow platform and security teams to bring each log group in line wit

Self-sufficient mobile weather station
Raspberry Pi NewsRob Zwetsloot
The latest issue of Raspberry Pi Official Magazine is an “Incredible Weather Projects” special and is now available to download in PDF format for free! As Andrew Scott reminds us in the movie Pressure , the weather is not boring, so we were quite interested to hear about this mob

Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5
NVIDIA Developer Blog
Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a... Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot u

Accelerating Reinforcement Learning Weight Refit with the Reshard Collective
NVIDIA Developer Blog
During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with the current policy model. For... During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with t

Accelerate GPU training on Unity Catalog tables with UCDataset
Databricks Blog
GPUs are usually the most expensive part of any training run, and most teams can't...
ChatGPT Enterprise now available in AWS Marketplace
OpenAI News
ChatGPT Enterprise is now available through AWS Marketplace, helping organizations simplify procurement through existing AWS purchasing and billing relationships.
