Hewlett Packard Enterprise vs NVIDIA

Cloud-native network management and AIOps for HPE Aruba Networking wired, wireless and SD-WAN devices, with AI-driven insights, self-driving automation and a GreenLake copilot, deployable as a cloud service, on-premises, as-a-service or in a virtual private cloud.

AI network assistant that answers network questions in natural language and, when permitted, resolves WLAN, LAN, WAN and data-centre issues autonomously.

Hybrid cloud observability and AIOps software that unifies monitoring of on-premises, multicloud and AI workloads, uses an AI-powered Operations Copilot to cut alert noise and guide resolution, and automates routine fixes.

Cloud AI-native networking platform from Juniper (now HPE) that applies AI models to network telemetry for proactive insights, recommendations and automated resolutions across wireless, wired and WAN, with the Marvis AI assistant on top.

An agentic AIOps system HPE sells to its GreenLake subscription customers to automate and operate IT/network infrastructure.

Turnkey private AI stack co-engineered with NVIDIA, sold as integrated compute, storage and networking with a console to deploy, monitor and govern enterprise AI agents and models.

8-GPU air-cooled server with NVIDIA Blackwell Ultra (B300 HGX) accelerators for large AI model training, tuning and inferencing, part of NVIDIA AI Computing by HPE.

4U rack server for AI inference supporting up to ten double-wide NVIDIA GPUs and Intel Xeon 6 processors.

Rack server for generative AI workloads with up to two NVIDIA GH200 NVL2 superchips, used to train and deploy larger AI models and as a building block of HPE Private Cloud AI.

10U rack server for production AI with two AMD EPYC 9006 processors and up to eight double-wide GPUs, for inference, RAG and agentic AI workloads.

8-GPU server for large AI model training with a choice of NVIDIA or AMD Instinct accelerators and AMD EPYC 9005 processors.

NVIDIA Canvas uses AI to turn brushstrokes into landscape images.

Cosmos Dataset Search ingests, indexes, searches and curates multimodal data using visual search and analytics microservices.

NVIDIA DLSS uses AI neural rendering to generate frames and improve image quality in supported games and applications.

NeMo Studio supplies a web interface for managing Helix resources and inspecting AI agents, jobs and telemetry.

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.

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.

NVIDIA Mission Control manages AI infrastructure through workload orchestration, monitoring and automated recovery.

Open-source (Apache-2.0) sandboxed runtime that runs autonomous AI agents under policy controls, the software half of NVIDIA's Open Agent Safety Platform.

NVIDIA Run:ai orchestrates AI workloads and allocates GPU resources across Kubernetes infrastructure.

A library and runtime for optimizing large-language-model inference on NVIDIA GPUs.

Data-centre GPU architecture used for training and serving large models, sold in servers and rack systems.

Data-processing-unit (DPU) platform combining compute with accelerated networking, storage and security for AI-factory infrastructure.

Free application that enhances livestreams and video calls with AI noise removal, background replacement and other audio/video effects; requires a GeForce RTX GPU.

An AI computing system powered by NVIDIA Blackwell Ultra GPUs for model inference and training.

NVIDIA DGX H100 is an AI computing system containing eight NVIDIA H100 GPUs.

Desktop AI supercomputer powered by the GB10 Grace Blackwell Superchip for local autonomous agents, running models up to 200B parameters for inference.

Deskside AI supercomputer powered by the GB300 Grace Blackwell Ultra Superchip, up to 20 petaFLOPS and 748GB coherent memory, supporting models up to 1T parameters.

Reference baseboard specification (HGX B200, B300, Vera Rubin NVL8) that system integrators and OEMs build into complete AI servers, listed in NVIDIA's Qualified System Catalog.

Edge-AI developer kits (IGX Thor, IGX Thor Mini, IGX Orin) for industrial and medical edge computing.

Family of embedded AI modules and developer kits for robotics and edge AI (Thor, AGX Orin, Orin NX/Nano, Xavier, TX2/Nano series).

Scalable data-centre server systems (e.g. OVX L40S with four or eight GPUs) for AI and graphics workloads, built by NVIDIA OVX partners.

Quantum-X800 InfiniBand switching for large-scale AI clusters, part of NVIDIA's InfiniBand networking line.

Professional GPU line (RTX PRO 2000 through RTX PRO 6000) for AI, graphics and simulation workloads across Blackwell, Ada Lovelace, Ampere and Turing architectures.

Ethernet networking platform (switches, ConnectX SuperNICs, BlueField DPUs, LinkX cables) purpose-built for generative-AI-scale data centres.

NVIDIA's data-centre platform succeeding Blackwell, pairing Rubin GPUs with Vera CPUs at rack scale for agentic AI and reasoning workloads.

Software that virtualizes GPUs across VMs in enterprise data centres and cloud deployments, licensed through NVIDIA's vGPU License and Support Portal.