DRIVE AGX Autonomous Vehicle Development Platform
…Rich Automotive I/O 16x GMSL® 2 + 2x GMSL® 3 3x 100/1000/10G-T1 (quad and 6-port H-MTD) 1x DisplayPort up to 4K@60Hz 6x GMSL3 (MATE-AX x4…
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MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications | NVIDIA Technical Blog
…The kernel can better overlap computation and communication, reducing kernel launch and memory read/write overhead, and improving inference performance. FP8 MoE: Integration of NVIDIA TensorRT-LLM FP8 MoE modular kernel. This…
NVIDIA NeMo Agent Toolkit
…Define your workflow, run baseline evals, apply fixes, measure impact, and repeat until your agent hits production-grade accuracy. Streamline Agent Optimization Automatically tune agents with the Agent Hyperparameter Optimizer, which selects…
Simplify Sparse Deep Learning with Universal Sparse Tensor in nvmath-python | NVIDIA Technical Blog
…Bik , Gunja Pandav and Satya Varadhan Discuss (3) Discuss (3) L T F R E AI-Generated Summary Like Dislike Integration of the Universal Sparse Tensor (UST) into nvmath-python v0.9…
How Painkiller RTX Uses Generative AI to Modernize Game Assets at Scale | NVIDIA Technical Blog
…pipeline and integrate generative AI as a practical solution to problems of scale. NightRaven: I am currently a system engineer handling everything from full-stack automation to administrating VMware and cloud environments…
Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics | NVIDIA Technical Blog
…His work centers on optimized, reliable AI inference for safety-critical robotics and automotive edge systems. Before joining NVIDIA in 2018, Michael created and led several floating-point-focused verification tools at…
Designing Production-Ready Battery Energy Storage Systems for AI Factories | NVIDIA Technical Blog
…provide electromagnetic transient models and small-signal artifacts for site-level integration studies. Equally important, passing equipment-level qualification does not automatically guarantee full site stability. Integration still matters. The qualification flow…
Accelerating Long-Context Inference with Skip Softmax in NVIDIA TensorRT LLM | NVIDIA Technical Blog
…It is optimized to leverage the specific tensor core and memory hierarchy of NVIDIA Hopper and NVIDIA Blackwell GPUs. It can also be integrated with other optimization methods. For instance, combining XAttention…
Run Step 3.7 Flash on NVIDIA GPUs with Enterprise-Ready Multimodal AI | NVIDIA Technical Blog
…NVIDIA NeMo Automodel library combines native PyTorch n-D parallelisms with optimized performance and supports Day 0 fine-tuning directly from Hugging Face model checkpoints without checkpoint conversion. The Automodel fine-tuning…
24/7 Simulation Loops: How Agentic AI Keeps Subsurface Engineering Moving | NVIDIA Technical Blog
…The system integrates ChatNVIDIA , the LangChain-compatible interface, enabling seamless orchestration within LangChain and LangGraph frameworks. This provides structured function calling for programmatic interaction with simulator APIs, database queries, and custom tools…