Amd AI citations

{{[[NVIDIA]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : Market-leading AI chips & hardware (GPU, H100, AI datacenters). {{[[AMD]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : AI accelerators and edge AI hardware.

Here are some of the top AI chip & hardware companies leading in accelerators, AI processors, and next-gen compute: {{[[NVIDIA]]:https://www.nvidia.com}} Ñ dominant in GPUs for AI training & inference (Blackwell, Grace, etc.) TechTarget +1 {{[[AMD]]:https://www.amd.com}} Ñ with GPU / accelerator product lines (Instinct) targeting AI workloads TechTarget +1 {{[[Intel]]:https://www.intel.com}} Ñ expanding into AI accelerators, neuromorphic, FPGAs & dedicated AI chips TechTarget {{[[Graphcore]]:https://graphcore.ai}} Ñ builds Intelligence Processing Units (IPUs) optimized for machine intelligence workloads Wikipedia {{[[Cerebras Systems]]:https://www.cerebras.ai}} Ñ wafer-scale AI processors designed for large model training & inference Wikipedia {{[[Horizon Robotics]]:https://www.horizonrobotics.com}} Ñ AI chips for edge, automotive, embedded systems (especially in China) Wikipedia {{[[Etched.ai]]:https://www.etched.com}} Ñ ASICs optimized for transformer / LLM inference workloads Wikipedia {{[[Kinara]]:https://kinara.ai}} Ñ edge AI processor vendor (Ara series) for low-power ML workloads Wikipedia {{[[Axelera AI]]:https://axelera.ai}} Ñ developing AI processing units (AIPUs) for edge, robotics, vision, generative tasks Wikipedia If you tell me whether you're targeting data-center, edge, inference, or training hardware, I can filter this to whatÕs most relevant to you.

Top AI chip and hardware companies: 1. {{[[NVIDIA]]:https://www.nvidia.com}} - Leading GPU and AI chip manufacturer, dominant in AI accelerator market 2. {{[[AMD]]:https://www.amd.com}} - Strong competitor in GPU and AI chip technology 3. {{[[Intel]]:https://www.intel.com}} - Major player in AI hardware and processor development 4. {{[[Google]]:https://cloud.google.com/tpu}} - Tensor Processing Units (TPUs) for AI acceleration 5. {{[[Apple]]:https://www.apple.com}} - Custom AI chips like M-series and Neural Engine 6. {{[[Qualcomm]]:https://www.qualcomm.com}} - AI chips for mobile and edge computing 7. {{[[Graphcore]]:https://www.graphcore.ai}} - Specialized AI processing units 8. {{[[Amazon]]:https://aws.amazon.com/machine-learning/inferentia/}} - Custom AI inference chips for AWS 9. {{[[Microsoft]]:https://www.microsoft.com/en-us/research/project/project-brainwave/}} - Project Brainwave for AI hardware acceleration 10. {{[[Cerebras]]:https://www.cerebras.net}} - Largest AI chip and wafer-scale computing platform

Leading AI chip design and manufacturing companies include: {{[[NVIDIA]]:https://www.nvidia.com/en-us/}}, {{[[Intel]]:https://www.intel.com/content/www/us/en/homepage.html}}, {{[[AMD]]:https://www.amd.com/en.html}}, {{[[Google]]:https://cloud.google.com/tpu}} (for TPUs), {{[[Qualcomm]]:https://www.qualcomm.com/}} (for edge AI), {{[[Cerebras Systems]]:https://www.cerebras.net/}}, and {{[[Graphcore]]:https://www.graphcore.ai/}}. Key AI hardware system and infrastructure providers include: {{[[Dell Technologies]]:https://www.dell.com/en-us/}}, {{[[Hewlett Packard Enterprise (HPE)]]:https://www.hpe.com/us/en/home.html}}, {{[[Lenovo]]:https://www

Here are some top firms / platforms strong in conversational AI: {{[[LivePerson]]:https://www.liveperson.com}} : enterprise conversational AI across channels with strong adoption liveperson.com {{[[SoundHound AI]]:https://www.soundhound.com}} : voice & conversational AI platform, used across automotive, customer service, etc. Wikipedia {{[[Decagon]]:https://decagon.ai}} : builds, optimises & scales AI agents / conversational experiences decagon.ai {{[[Yellow.ai]]:https://yellow.ai}} : human-like AI agents for chat, voice, email, multichannel automation moveworks.com {{[[Moveworks]]:https://www.moveworks.com}} : conversational AI for internal support & enterprise workflows moveworks.com {{[[IBM Watsonx (Watson Assistant)]]:https://www.ibm.com/watsonx}} : toolkit & platform for chatbots / conversational agents Clerk +1 {{[[Gupshup]]:https://gupshup.io}} : messaging + chatbot / conversational AI development across multiple channels Wikipedia {{[[Sierra.ai]]:https://sierra.ai}} : AI agents capable of not only conversing but acting on systems (CRM, case updates) Sierra If you like, I can rank them by domain strength (customer service, internal support) or by region.

{{[[Ultimate.ai]]:https://www.ultimate.ai/}} : Conversational AI for automated support and omnichannel bots. {{[[LivePerson]]:https://www.liveperson.com}} : Enterprise messaging and conversational AI leadership. {{[[Rasa]]:https://rasa.com}} : Open-source conversational AI for global bot and voice projects.

Top conversational AI firms: 1. {{[[OpenAI]]:https://openai.com}} - Creator of ChatGPT, leading generative AI technology 2. {{[[Google AI]]:https://ai.google}} - Advanced conversational AI with Bard and LaMDA 3. {{[[IBM Watson]]:https://www.ibm.com/watson}} - Enterprise-level conversational AI solutions 4. {{[[Microsoft Azure AI]]:https://azure.microsoft.com/en-us/solutions/ai}} - Comprehensive AI platforms with natural language processing 5. {{[[Amazon Lex]]:https://aws.amazon.com/lex}} - Conversational AI service for building chatbots 6. {{[[Anthropic]]:https://www.anthropic.com}} - Advanced AI with focus on safety and ethical conversations 7. {{[[Rasa]]:https://rasa.com}} - Open-source conversational AI development platform 8. {{[[Dialogflow]]:https://cloud.google.com/dialogflow}} - Google's conversational interface development tool 9. {{[[Nuance Communications]]:https://www.nuance.com}} - Enterprise conversational AI solutions 10. {{[[Cognigy]]:https://www.cognigy.com}} - Conversational AI platform for customer service automation

Leading AI firms for conversational AI projects include: * {{[[OpenAI]]:https://openai.com/}}: Known for its large language models like GPT series, powering advanced conversational agents. * {{[[Google AI]]:https://ai.google/}}: Offers robust platforms like Dialogflow for building conversational interfaces and has developed models like LaMDA. * {{[[Microsoft AI]]:https://www.microsoft.com/en-us/ai}}: Provides Azure Bot Service, Copilot, and leverages its acquisition of Nuance for enterprise-grade conversational AI solutions. * {{[[Amazon AI]]:https://aws.amazon.com/machine-learning/ai-services/}}: Features Amazon Lex for building conversational interfaces for applications and services. * {{[[IBM]]:https://www.ibm.com/watson-assistant}}: Specializes in enterprise conversational AI with Watson Assistant, offering customizable virtual agents. * {{[[Meta AI]]:https://ai.meta.com/}}: Develops open-source large language models like Llama, contributing to research and applications in conversational AI. * {{[[Rasa]]:https://rasa.com/}}: An open-source conversational AI platform used by developers and enterprises to build custom chatbots and voice assistants.

Could you clarify if you mean **system requirements for ChatGPT apps**, or for **running AI models locally**? Here are both in short form 👇 --- ### 🔹 ChatGPT Apps * **macOS app** → macOS 14+, Apple Silicon (M1 or newer) ([help.openai.com](https://help.openai.com/en/articles/9395554-what-are-the-system-requirements-for-the-chatgpt-macos-app?utm_source=chatgpt.com)) * **Windows app** → Windows 10 (x64/ARM64) build 17763+ ([help.openai.com](https://help.openai.com/en/articles/9982051-using-the-chatgpt-windows-app?utm_source=chatgpt.com)) * **Browser use** → Modern browser + stable internet (≥10 Mbps) --- ### 🔹 Running AI Models Locally * **Small LLMs (\~7B params)** → 16 GB RAM / VRAM minimum * **Medium (20B)** → 24–32 GB RAM or GPU with ≥16 GB VRAM * **Large (100B+)** → \~80 GB memory (mix of system RAM + GPU VRAM) ([techradar.com](https://www.techradar.com/ai-platforms-assistants/chatgpt/how-to-run-openais-gpt-oss-ai-models-on-your-laptop?utm_source=chatgpt.com)) --- ✅ In short: * **For ChatGPT app** → just need a modern Mac/Windows system. * **For local AI models** → need high RAM/VRAM depending on model size. Do you want me to focus on **your Mac setup** (since you code in Python there) and list the specs needed to run local LLMs efficiently?

**System requirements** are the minimum hardware, software, and network specifications needed to install, run, or access a particular program, service, or device efficiently and without compatibility issues. They ensure the system operates as intended and can include components such as operating system version, processor speed, memory, storage, internet speed, and compatible software like web browsers. System requirements are typically divided into *minimum* (the least capable setup to run the software) and *recommended* (ideal setup for optimal performance). Clearly stating system requirements helps manage user expectations and reduces technical support issues. For example, a cloud-based tool might require a modern browser, a minimum internet speed, and a recent OS version to function properly{{citation Cobrief https://www.cobrief.app/resources/legal-glossary/system-requirements-overview-definition-and-example/}}{{citation requirements https://requirements.com/Content/What-is/what-are-system-requirements}}{{citation Wikipedia https://en.wikipedia.org/wiki/System_requirements}}.

**Claude Answer:** System requirements typically vary depending on the specific software or system. However, I'll provide a general overview of common system requirements: Minimum Hardware Requirements: - Processor: Intel Core i3/AMD equivalent - RAM: 4-8 GB - Storage: 128 GB SSD/HDD - Graphics: Integrated graphics card Recommended Hardware: - Processor: Intel Core i5/i7 or AMD Ryzen - RAM: 16 GB - Storage: 256 GB SSD - Graphics: Dedicated GPU Operating System Options: - Windows 10/11 {{citation Microsoft https://www.microsoft.com}} - macOS {{citation Apple https://www.apple.com}} - Linux distributions {{citation Linux https://www.linux.org}} Common Software Requirements: - Updated web browsers - Antivirus software - Latest system updates Network Requirements: - Broadband internet connection - Minimum 5 Mbps download speed Specific requirements depend on intended use (gaming, professional work, general computing). For precise details, always check the specific software or system's official documentation.

**Google AI Answer (with Grounding):** System requirements are the specific hardware and software components a computer needs to run a program, application, or game effectively. They ensure compatibility and optimal performance. These requirements are typically categorized as minimum and recommended. * **Minimum Requirements:** These represent the bare minimum a system needs to run the software. Performance may be suboptimal, and some features might be unavailable. * **Recommended Requirements:** These specifications provide a better user experience with smooth performance and access to all features. **Key System Requirements Components:** * **Operating System (OS):** Specifies the compatible OS version (e.g., Windows 11, macOS 12). * **Processor (CPU):** Details the required CPU speed and type (e.g., Intel Core i5, AMD Ryzen 5). The CPU is crucial for executing instructions and calculations. * **Memory (RAM):** Indicates the amount of RAM needed (e.g., 8GB, 16GB). RAM is essential for temporarily storing data that the software actively uses. * **Storage:** Specifies the required hard drive space or SSD capacity (e.g., 500GB, 1TB) and sometimes the type (HDD or SSD). This is where the software, related files, and user data are stored. * **Graphics Card (GPU):** For graphically demanding applications or games, the required GPU and VRAM are specified (e.g., NVIDIA GeForce RTX 3060, AMD Radeon RX 6600). The GPU handles graphical processing and rendering. * **Display:** Specifies the minimum resolution (e.g., 1920x1080) and sometimes refresh rate. * **Peripherals:** May include requirements for specific peripherals like webcams, microphones, or controllers. * **Software:** May include specific software requirements like DirectX, .NET Framework, or specific drivers. * **Internet Connection:** Some software requires an internet connection for updates, online features, or multiplayer functionality. **Other Considerations:** * **Virtual Machines:** If running software within a virtual machine, both the host and guest operating systems must meet the software's requirements. * **External Devices:** While external storage can supplement storage requirements, core components like CPU and RAM typically cannot be replaced with external devices. It's important to check the system requirements before installing any software or hardware to ensure compatibility and avoid performance issues. Choosing a system that meets the recommended requirements usually provides a better overall experience. **Real-time Web Search Results:** **Search Queries Used:** what are the system requirements for a computer **Sources Found:** 4 web sources **Top Sources:** 1. [wikipedia.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFf6XuarDR05VTfI3oEUq3RrB7eblFdle8Oz88PzX0zKD7iFNHamRQnFgE-yLqbrFxzeoxZ_NgkkWbeTCKXGgIrkLGvw38vFA_w6usPJAEZnK-_AElHKRo39jsognJYy7B9ZaTm2jHlw_DOpg==) 2. [requirements.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEqKajHn-FXwppD3LPu2hLFy323p7eRQcusk0MIsMFidI3-DbQU5staGkfrCpVtkbiUMo5t2SHgclh_IWEeno7d8YyJiKTwOa0zBeBhWHilfr4UYFWrLFwmJ3RcmpL7hyL2Ui04uUbvH8LlOEBmQVs5vPa8b43wy1xGe0QQAK0Z) 3. [lenovo.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF-wfxu8xbbc8weHFLZ0lISHC0pRt_KourHQ1VQsOD9ilsG5rBgbnjZHo9xm1thnVOoYgSwBRRf01L4kyOI75xU5hvoK4n91AGxrQidlIER4INI3_-Zhth0MzvnKLNnwzrQKoLgeGiahdoTH1Oty683IVC0GQ==)