NVIDIA vs Palo Alto Networks

Programming toolkit and libraries for running general-purpose computation on NVIDIA GPUs.

Suite of AI technologies (speech, intelligence, animation models and plugins) for building conversational, actionable in-game characters, mostly MIT-licensed with some components under NVIDIA's open model license.

Supported software suite for building and deploying AI workloads on NVIDIA hardware.

Free development-environment manager for creating, customizing and collaborating on AI applications across GPU systems, with enterprise support available through an NVIDIA AI Enterprise license.

Development platform for AI-driven biology and drug discovery: open models, libraries, datasets and NIM microservices for the full AI lifecycle in biopharma.

End-to-end autonomous-vehicle platform spanning training infrastructure, simulation and safety-certified in-vehicle compute for production autonomy from L2++ to L4.

Open-source model-deployment server for TensorRT, PyTorch, ONNX, OpenVINO and other frameworks across GPUs and CPUs, with production support and stable APIs through NVIDIA AI Enterprise.

Open robotics development platform combining simulation, CUDA-accelerated perception libraries, ROS 2 integration and humanoid tooling for building AI-powered robots.

Suite of libraries and microservices covering the AI agent lifecycle - data curation, customisation, evaluation, guardrails and monitoring.

Platform of OpenUSD-based libraries and microservices for building simulation-ready digital twins and synthetic-data environments used to train and validate physical AI and robots.

Suite of open-source, GPU-accelerated data-science libraries (cuDF, cuML, cuGraph, cuxfilter), rebranding to "CUDA-X for Data Science."

Deployable speech-AI library (ASR/TTS) for production inference, free to prototype via build.nvidia.com and licensed for production deployment through NVIDIA AI Enterprise.

Ecosystem of compilers, runtimes and optimization tools for high-performance deep-learning inference; TensorRT-LLM and Model Optimizer are free on GitHub, with commercial deployment options via NVIDIA AI Enterprise.

Endpoint detection and response platform marketed as "the foundation of the AI-driven SOC," with an AI agent assistant (Cortex AgentiX) for investigation and response.

An AI-driven security operations platform that unifies SIEM, SOAR and detection-and-response data with automation and AI agents to run a security operations centre.

Palo Alto Networks' proprietary AI system combining machine learning, deep learning and generative AI to automate threat detection, prevention and remediation across its Strata, Prisma Cloud and Cortex security platforms.

An AI security platform that discovers, scans and protects AI models, agents, applications and data against runtime and posture threats.

Runtime gateway component of Prisma AIRS that inspects and governs traffic to and from AI models and agents.

"The first AI-powered, unified solution for network security management and operations," with an AI assistant (Strata Copilot) and purpose-built AI agents for policy optimization, threat detection and remediation.