Figure 1
Operational workflow of generative AI
Figure 2
Global AI and generative AI market size forecasts for 2022 to 2030
Figure 3
Generative AI web software flow ranking
Figure 4
Development History of OpenAI Large Language Model
Figure 5
Development History of Google Large Language Model
Figure 6
Generative AI technology development timeline
Figure 7
Generative AI technology development and application fields
Figure 8
Development trends of large language model types
Figure 9
OpenAI and Google multi-modal large language model specifications list
Figure 10
Meta, Google and Microsoft small language model specifications list
Figure 11
Different parameters of LLM correspond to hardware products
Figure 12
NVIDIA server GPU product overview
Figure 13
AMD server GPU product overview
Figure 14
Forecast of global AI server shipments from 2023 to 2025
Figure 15
Four key factors that increase the importance of data center cooling
Figure 16
3D VC schematic diagram and comparison of three major types of air cooling solutions
Figure 17
Classification and material components of current mainstream cooling solutions for servers
Figure 18
Comparison table of key attributes of air cooling and liquid cooling
Figure 19
GPGPU and non-GPGPU comparison table
Figure 20
Enterprise LLM requires two major steps: pre-training and fine-tuning to improve specificity in line with
site needs
Figure 21
Generative AI PC and mobile phone features description
Figure 22
Generative AI drives AI PC business opportunities; CPU and PC brand players are actively deploying
Figure 23
Two major mainstream CPUs launch new products to lay out the AI PC market
Figure 24
PC operating system and its AI application instructions
Figure 25
Global AI NB shipment forecast from 2023 to 2025
Figure 26
The relationship between generative AI applications and mobile APs and brand owners
Figure 27
AP operators lay out the AI mobile phone market
Figure 28
Observation on AI mobile AP industry players and generative AI strategies
Figure 29
Forecast of global AI mobile phone shipments from 2023 to 2025
Figure 30
IoT devices mainly focus on recognition type AI tasks
Figure 31
AI chip industry's solutions for different application scenarios
Figure 32
Comparing cloud and edge computing
Figure 33
Cloud AI and edge AI work together
Figure 34
Generative AI is applied to smart vehicle design, manufacturing and driving control
Figure 35
Generative AI application cases for smart vehicles
Figure 36
Smart transportation combines big data, AI, and communication technology
Figure 37
Generative AI can be applied to smart transportation system optimization
Figure 38
Hitachi image-generated text technology can be used for road image analysis
Figure 39
INRIX Compass generates recommendations for road traffic decisions
Figure 40
Maps combine with generative AI to improve user interaction experience
Figure 41
Comparison of online and physical retail sales in the United States and China
Figure 42
Electronic shelves and management systems
Figure 43
Walmart begins introducing generative AI on mobile devices
Figure 44
Compare customer behavior to achieve precise marketing and
efficiency
management goals
Figure 45
The retail industry is moving towards AI-provided services
Figure 46
The introduction of AI will eventually become the trend of smart
retail
Figure 47
Global AI in Healthcare Application Market Size Forecast and
Market Growth
Drivers
Figure 48
AI application data types correspond to health process
application scenarios
Figure 49
Key applications of generative AI in healthcare
Figure 50
Nuance Healthcare AI Solutions at a Glance
Figure 51
Introduction to Sensely Voice Assistant
Figure 52
Linguamatics Product Introduction
Figure 53
Use AI simulation to reduce product design costs
Figure 54
Use AI to generate scenarios to simulate training robots
Figure 55
Introduction to Assistant with Bard's main improved features
compared to
Google Assistant
Figure 56
Generative AI market size estimate in 2030
