Cisco vs NVIDIA

AI assistant for contact-centre agents and supervisors that produces call and transfer summaries, live transcription, suggested chat replies, topic analytics, automatic CSAT scoring and agent burnout signals.

AgenticOps workspace where teams and AI agents collaborate to investigate, correlate and resolve issues across domains: natural-language querying, multi-step agent workflows, shared real-time visibility, and native Cisco plus third-party tool integration via Cloud Control Studio.

End-to-end AI security product that discovers an organisation's AI assets, red-teams models and applications for vulnerabilities, and enforces runtime guardrails against prompt injection and data leakage.

Agentic support intelligence delivered inside Cisco Support and Professional Services — 'the delivery vehicle for everything Cisco Support and Professional Services knows about your environment, made continuously available before you ask for it' — generally available as SaaS since April 2026 and included with existing support contracts.

AI-native workforce engagement suite for contact centres that forecasts demand and optimises shifts, uses NLP and LLMs to evaluate 100 percent of human and AI agent interactions (AI Quality Management), and runs performance coaching and AI-led onboarding simulations.

Autonomous customer-service AI agent that handles inquiries conversationally across voice, SMS, email, chat and messaging apps and escalates to a human agent with context when it cannot resolve.

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.

NVIDIA's AI cloud of GPU clusters and managed AI services, which NVIDIA's own page now presents as its internal environment for building its models, and which is still sold on Microsoft's Azure marketplace.

Prebuilt inference microservices that package foundation models with optimised serving engines and standard APIs, deployable as hosted endpoints or self-hosted containers.