We will introduce various HPCs for different applications of LLMs (Large Language Models).
Introducing models for LLM (Large Language Model) training and models for inference!
For LLM (Large Language Model) training purposes, here it is! APPLIED HPC Deep Type-AS4UX2S8GP-AU019 ■ CPU: Xeon Gold 6530 (32 cores/64 threads/2.1GHz/tb4.0GHz) ■ Memory: 2,048GB (64GB×32) ■ Storage: 1.92TB SSD + 7.68TB SSD ■ GPU: NVIDIA H100 94GB ■ OS: Ubuntu 22.04 LTS ■ Framework: TensorFlow / Pytorch / Chainer (DockerDesktop) ■ Optical Drive: None ■ Power Supply: [4 units] 3,000W/200V - Redundant configuration (2+2) - 80 Plus Titanium certification ■ 3-year send-back hardware warranty 16,800,000 yen (tax included)
basic information
If you're looking for a model for LLM (Large Language Model) inference, here it is! APPLIED WST-XW93475XS3Q2TTNVM ■ CPU: Xeon W9-3475X ■ Memory: 256GB (32GB×8) DDR5-4800 ■ Storage: 2TB M.2 NVMe-SSD ■ GPU: [2GPU] NVIDIA RTX6000 Ada 48GB-GDDR6 ■ OS: Ubuntu 22.04 LTS ■ Power Supply: [2PSU] 1000W ■ 3-year send-back hardware warranty 5,998,000 yen (tax included) APPLIED WST-XW73465XS3Q2TTNVM ■ CPU: Xeon W7-3465X ■ Memory: 256GB (32GB×8) DDR5-4800 ■ Storage: 2TB M.2 NVMe-SSD ■ GPU: NVIDIA RTX6000 Ada 48GB-GDDR6 ■ OS: Ubuntu 22.04 LTS ■ Power Supply: [2PSU] 1000W ■ 3-year send-back hardware warranty 4,498,000 yen (tax included)
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[Blog] "Revisiting the Question: What is 'Generative AI'?" As corporate utilization advances, the fundamentals and possibilities you should know.
The term "generative AI" has become something we hear in our daily lives. Generative AI, including ChatGPT and Gemini, is being utilized in various situations such as writing and summarizing text, information retrieval, image generation, and program creation. In companies, expectations for generative AI are rising for purposes like improving operational efficiency, utilizing information, and creating new services. On the other hand, because generative AI has become more accessible, many people may want to clarify the basics: "What exactly is generative AI?" "What is different from previous AI?" "How can it be specifically utilized in companies?" "What kind of environment is necessary to fully leverage generative AI?" This time, as the use of generative AI in businesses is progressing, we will revisit and organize our understanding of generative AI, its potential, and the computing environment that supports it.
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[Blog] <Tried Making> The First Step Towards "Physical AI" Pioneered by Local LLM × RAG - Experience Building Your Own Dedicated AI Partner -
Now, AI is trying to leap from "the screen" into "the real world." Local LLMs, which excel in security and high-speed processing, have now become a powerful practical engine that goes beyond mere dialogue tools, playing a central role in corporate DX and products. Many of you may have seen examples like "life-sized AI avatars for customer service" being introduced in convenience stores. What happens when local LLMs are further integrated into hardware such as communication robots? AI will evolve into "Physical AI," capable of recognizing the real world and physically interacting with it. The key to this paradigm shift lies in cutting-edge technology known as the "VLA (Vision-Language-Action) model." In this context, we have created an experimental prototype to actually experience the "sense of AI connecting with the real world." We would like to introduce you to its operation and potential!
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Applied Corporation is a computer manufacturing company based in Hakata-ku, Fukuoka City, Fukuoka Prefecture, with 65 locations nationwide. We provide the latest business proposals, from cutting-edge computers to the implementation of DX and solutions, for corporate clients across the country.

























