====== [hemmerling] Data Processing 8/8 - Artificial Intelligence ( AI ) ====== Related pages: *[[databases.html|Data Processing 1/8 - Databases, Webserver, Webservices, SQL, XML]]. *[[databases02.html|Data Processing 2/8 - Descriptions of Data, Data Transfer and Data Protocols]]. *[[nosql.html|Data Processing 3/8 - NoSQL Databases: Not Just SQL]]. *[[dbadmin.html|Data Processing 4/8 - Database Managment Tools and Database Application Development Tools]]. *[[bíntelligence.html|Data Processing 5/8 - Business Intelligence]]. *[[datawarehouse.html|Data Processing 6/8 - Data Warehouse Modeling]]. *[[mlearning.html|Data Processing 7/8 - Machine Learning]]. *[[myai.html|Rolf Hemmerling's AI Samples]]. *[[notebook.html|Notebooks]]. ===== Software ===== ==== DeepSeek ==== *[[http://www.deepseek.com/|DeepSeek]]. *[[http://www.proxpc.com/blogs/gpu-hardware-requirements-guide-for-deepseek-models-in-2025|ProxPC "GPU Hardware Requirements Guide for DeepSeek Models in 2025"]]. *[[http://dev.to/askyt/deepseek-r1-671b-complete-hardware-requirements-optimal-deployment-setup-2e48|DEV Community "DeepSeek-R1 671B: Complete Hardware Requirements"]]. ==== LLama ==== *[[http://www.llamaimodel.com/|Llama Ai Model]] *[[http://www.llamaimodel.com/requirements/|Llama Ai Model "Llama 3.1 Requirements"]] - "GPU NVIDIA RTX 3090 (24 GB) or RTX 4090 (24 GB) for 16-bit mode". *[[http://www.llamaimodel.com/requirements-3-3/|Llama Ai Model "Llama 3.3 Requirement"]] - "GPU NVIDIA RTX series (for optimal performance), at least 24 GB of VRAM". ==== OLMo ==== *[[http://allenai.org/olmo|Ai2 "OLMo"]]. *[[http://www.nodeshift.com/blog/how-to-install-olmo-2-locally|NodeShift "How to Install OLMo 2 Locally?"]]. *GPU: Minimum: 16GB VRAM (8-bit quantization recommended). Recommended: 24GB or higher for smooth performance (e.g., RTX 3090, 4090, A100, or H100). ===== Online Services ===== ===== Hardware with GPUs ===== ==== ASUS ==== *[[http://www.asus.com/de/laptops/for-gaming/all-series/|ASUS "Laptops / Für Gamer / Alle Serien"]] - Filter "NVIDIA GeForce RTX 5090". *[[http://rog.asus.com/de/laptops/rog-strix/rog-strix-scar-18-2025/|ASUS "ROG Strix SCAR 18 (2025) G835"]]. *[[http://rog.asus.com/de/laptops/rog-strix/rog-strix-scar-16-2025/|ASUS "ROG Strix SCAR 16 (2025) G635"]]. ==== Dell ==== *[[http://www.dell.com/de-de/shop/dell-laptops/scr/laptops/appref=nvidia-geforce-rtx-5090-video|DELL "NVIDIA GeForce RTX 5090 Laptops"]] - "Grafikkarte Bis zu NVIDIA GeForce RTX 5090". *[[http://www.dell.com/de-de/shop/gaming-and-games/alienware-18-area-51-gaming-laptop/spd/alienware-area-51-aa18250-gaming-laptop|DELL "Alienware 18 Area-51 Gaming Laptop"]]. *[[http://www.dell.com/de-de/shop/gaming-and-games/alienware-16-area-51-gaming-laptop/spd/alienware-area-51-aa16250-gaming-laptop|DELL "Alienware 16 Area-51 Gaming Laptop"]]. ==== Lenovo ==== *[[http://psref.lenovo.com/|Lenovo "Product Specifications Reference (PSREF)"]]. ==== Hardware Market Research & Sales Offers ==== *[[http://www.geizhals.de/?cat=nb&asuch=5090|Geizhals "Notebooks" - Search for "5090"]]. *[[http://www.idealo.de/preisvergleich/ProductCategory/3751F106585390.html|idealo "Notebooks NVIDIA GeForce RTX 5090"]]. ===== Resources ===== ==== Intel NPU ==== *[[http://www.computerwoche.de/article/2830830/intel-setzt-bei-neuen-cpus-auf-ki-als-trumpf.html|Computerwoche "AI everywhere: Intel setzt bei neuen CPUs auf KI als Trumpf"]], 2023-12 - "Intel Core Ultra – KI inklusive. Mit den neuen Mobile-Prozessoren der Intel-Core-Ultra-Familie stellt der Konzern seine ersten PC-CPUs mit integriertem KI-Beschleuniger vor. Eine dedizierte Neural Processing Unit (NPU) – der Intel AI Boost – soll innerhalb des Prozessors KI-Workloads schneller und effizienter berechnen können". *[[http://www.google.com/search?q=Intel+AI+Boost|Google - Search for "Intel AI Boost"]]. *[[http://www.google.com/search?q=Intel+NPU|Google - Search for "intel NPU"]]. ==== General Resources ==== *[[http://www.hardwareluxx.de/index.php/artikel/hardware/grafikkarten/65745-nvidia-geforce-rtx-5090-laptop-das-neue-mobile-flaggschiff-im-test.html|XXhardwareLUXX "NVIDIA GeForce RTX 5090 Laptop im Test"]]. *"GeForce RTX 5090 Laptop - As of 2025-05, 24 GB GDDR7" is the only graphics card with 24GB RAM. *Other notebook computer graphics cards just have just up to 16G RAM: "GeForce RTX 4090 Laptop - 16 GB GDDR6", "GeForce RTX 5080 Laptop - 16 GB GDDR7", "GeForce RTX 4080 Laptop - 12 GB GDDR6", "GeForce RTX 5070 Ti Laptop - 12 GB GDDR7", "GeForce RTX 5070 Laptop - 8 GB GDDR7". {{tag>"artificial intelligence" artificial intelligence ai}}