Foretellix vs NVIDIA

Foretify Evaluate curates real-world and simulated driving logs and evaluates performance and safety.

Foretify Generate generates synthetic data to train and validate perception and end-to-end AI models.

Data automation platform for autonomous-vehicle development with data curation, training and validation, and synthetic data generation (Foretify Evaluate and Foretify Generate are named in the navigation).

NIXL accelerates transfers among GPU memory, CPU memory and storage for AI inference frameworks.

NVIDIA Data Loading Library (DALI) loads and preprocesses image, video and audio data for deep learning.

NVIDIA Megatron Core provides GPU building blocks for training generative AI models.

NVIDIA cuEquivariance provides CUDA kernels and APIs for geometric neural networks.

NVIDIA cuML accelerates scikit-learn, UMAP and HDBSCAN machine learning workflows on GPUs.

NVIDIA cuVS provides GPU-accelerated vector search and data clustering.

Transformer Engine accelerates Transformer model training and inference on NVIDIA GPUs using low-precision formats.

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.

A suite of computing platforms, software libraries and tools for building, training, simulating and deploying AI-native wireless networks.

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

NVIDIA AI Foundry provides a platform and service for building generative AI models using enterprise data.

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.

NVIDIA AI for Media supplies AI tools and microservices for enhancing audio, video and visual effects.

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.

A software platform for weather and climate forecasting that includes models, tools and services.

A computing platform for real-time processing of streaming sensor data and AI inference.

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

NVIDIA Metropolis is a platform for developing and deploying video analytics AI agents and applications.

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.

A software platform and reference system design that monitors and governs AI agent behavior.

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.