INFINITIX - INFINITIX | AI-Stack - Page 4 of 9

INFINITIX

Business Challenges Manufacturing industries face the following core challenges when implementing AI technology in their digital transformation: Solution Overview The physical world of manufacturing is several times more complex than

Opening Keynote Sets the Tone NVIDIA’s CEO Jensen Huang kicks off CES 2025 with one of the most anticipated keynotes of the event. Taking place at the Las Vegas venue,

As we step into 2025, the artificial intelligence landscape is poised for transformative changes, with OpenAI leading significant developments in the field. From revolutionary models to user-centric features, let’s explore

Overview With the rapid development of financial technology, the financial industry faces challenges in data processing complexity, limitations of Large Language Models (LLMs), rapid market changes, and infrastructure challenges. The

In an unprecedented move that captivated the tech world, OpenAI transformed the final weeks of 2024 into a festive showcase of artificial intelligence advancement. From December 5th to December 20th,

As AI applications become increasingly prevalent in enterprises, more companies are facing challenges with underutilized GPU resources. To address this challenge, INFINITIX's AI-Stack platform leverages three core technologies to maximize
AI technology is permeating our lives from self-driving cars to automatic text and image generation. What underpins the operation of these AI technologies is AI infrastructure. If AI applications are
The Smart Healthcare GAI + AI solution aims to provide full-process support from data collection, analysis to application, utilizing powerful AI models (such as deep learning and generative AI) to
Artificial Intelligence (AI) and Machine Learning (ML) model training GPU requirements vary based on model complexity, dataset scale, and data sources. From a single GPU for lightweight image classification models