Quantization news tracks updates, releases, guides, and real uses for teams. We explain ideas in plain terms and show steps. you can apply. Follow tests, results, and simple tips. Learn trade-offs, quick fixes, and ways to pick tools that fit your needs.
interactive agent drives growth in this sector. NVIDIA introduced an Interactive ML agent that accelerates data science workflows with GPU-optimized tooling and a compact language model, delivering measured speedups across common tasks. The launch arrives alongside new reinforcement learning research on rollout scaling and fresh training resources for practitioners. AI data science agent Interactive ML […]
Google launched GeForce Now Fast Pass for Chromebooks, offering a year of ad-free, priority RTX streaming with new purchases. The exclusive tier grants faster access to cloud servers and taps RTX hardware, yet it limits session length. The move reinforces how machine learning now shapes mainstream gaming experiences. GeForce Now Fast Pass on Chromebooks Moreover, […]
NVIDIA Research introduced BroRL rollout scaling, a training strategy that floods each prompt with hundreds of exploratory rollouts to improve LLM reasoning. The approach targets plateaus in reinforcement learning from verifiable rewards and claims stronger data and compute efficiency. BroRL rollout scaling explained Moreover, BroRL widens exploration instead of only extending training steps. The method […]
NVIDIA expanded its training catalog with new modules that spotlight NVIDIA FLARE federated learning and a broader slate of applied AI skills. The refreshed lineup spans privacy-first training, adversarial ML, medical imaging, Earth-2 weather modeling, and edge deployments. NVIDIA FLARE federated learning courses Moreover, Federated learning is moving from research to practice, and NVIDIA is […]
NVIDIA advanced simulation tools and exoskeleton makers deployed adaptive gait control this week. Together, these robot learning updates signal faster model training and deployment across labs and industry. Robot learning updates drive sim-first progress Moreover, The latest NVIDIA Isaac Lab 2.3 release underscores a sim-first approach to robotics. The update improves whole-body control, imitation learning, […]
NVIDIA introduced an interactive ML agent that speeds up common workflows by as much as 43x on GPUs. The move pushes agentic tooling deeper into day-to-day data science. In parallel, the company expanded hands-on training in adversarial and federated learning. Meanwhile, applied ML surfaced in a gaming-inspired exoskeleton that touts intelligent gait control. Interactive ML […]
NVIDIA introduced a new push to streamline machine learning with the NVIDIA data science agent, which promises 3x to 43x speedups on key tasks. In parallel, NVIDIA Research detailed robot learning advances at CoRL 2025 that highlight fresh gains in dynamics modeling and visuo-tactile control. Moreover, The developments target practical pain points across data science […]
NVIDIA introduced cuML profiler tools this week, highlighting a flurry of practical machine learning updates for developers and researchers. The additions arrive alongside a modular data science agent and fresh results in robot learning. Moreover, These releases target stubborn workflow bottlenecks and complex real-world tasks. Together, they show a clear push toward faster iteration, clearer […]
NVIDIA introduced NeMo Automodel MoE, an open-source library that accelerates large-scale Mixture-of-Experts training directly in PyTorch. The release targets teams building billion-parameter systems that need to scale across clusters without custom infrastructure. Moreover, The update lands alongside two notable open tooling moves. NVIDIA detailed a cuVS integration that speeds Faiss vector search on GPUs. The […]
