Computer of the future :D

[Nimos]

So had a bit of fun with ChatGPT and we designed a computer together

It still amazes me when you start talking with it, how capable it is at keeping track of things and that it just doesn't go completely nuts.

But this is what we created.

Thought process
In reimagining computer architecture, our conceptual modular design introduces a departure from conventional norms. Unlike traditional systems centered around a single general-purpose processor, our approach involves an array of specialized CPUs. Each CPU is meticulously crafted for optimal performance in specific tasks, such as artificial intelligence, scientific computations, multimedia processing, databases, networking, security, and parallel computing.

At the core of this structure is the Intelligent Task Scheduler (ITS-CPU), strategically allocating resources to maximize overall efficiency. With a focus on parallel processing, streamlined resource management, and task-specific offloading, our computer system offers unprecedented adaptability.

Conceptual Modular Computer Design:

1. ITS-CPU (Intelligent Task Scheduler):

• Socket Assignment: LGA1700 (Intel)
• Memory: 32 gigabytes
• Function: Manages task scheduling, load balancing, and coordination among specialized CPUs.
• Design Choice: Chose LGA1700 for compatibility and future upgrade options. 32GB memory for efficient multitasking and data handling.

2. AI Accelerator (AI-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 16 gigabytes
• Function: Optimized for artificial intelligence tasks, machine learning, and neural network computations.
• Design Choice: LGA1200 for compatibility. 16GB memory for AI processing and efficient data handling.

3. Scientific Computing Processor (Sci-CPU):

• Socket Assignment: LGA3647 (Intel)
• Memory: 16 gigabytes
• Function: Specialized for scientific and numerical computations.
• Design Choice: LGA3647 for high-performance computing. 16GB memory for handling complex scientific calculations.

4. Multimedia Processor (Media-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 8 gigabytes
• Function: Optimized for multimedia processing tasks.
• Design Choice: LGA1200 for compatibility. 8GB memory for efficient multimedia processing.

5. Database Accelerator (DB-CPU):

• Socket Assignment: LGA2066 (Intel)
• Memory: 8 gigabytes
• Function: Specialized for database operations and data management tasks.
• Design Choice: LGA2066 for compatibility. 8GB memory for database-related tasks.

6. Networking Processor (Net-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 8 gigabytes
• Function: Optimized for network-related tasks.
• Design Choice: LGA1200 for compatibility. 8GB memory for efficient network processing.

7. Security Processor (Sec-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 8 gigabytes
• Function: Specialized for security-related tasks, encryption, and decryption.
• Design Choice: LGA1200 for compatibility. 8GB memory for secure data processing.

8. Parallel Computing Processor (Par-CPU):

• Socket Assignment: LGA3647 (Intel)
• Memory: 16 gigabytes
• Function: General-purpose parallel processor for versatile parallel tasks.
• Design Choice: LGA3647 for high-performance parallel computing. 16GB memory for parallel task execution.

9. Shared Memory for Communication:

• Memory: 8 gigabytes
• Function: Facilitates efficient data exchange and communication between specialized CPUs.
• Design Choice: 8GB shared memory for seamless communication and data exchange.

10. General-Purpose CPUs (Dynamic Allocation):
- Private Memory for each CPU: 4 gigabytes
- Shared Memory for inter-CPU communication: 8 gigabytes
- Function: Dynamic allocation based on workload demands, serving as backup and handling general-purpose tasks during periods of low utilization in specialized CPUs.
- Design Choice: Balanced memory allocation to ensure efficient utilization and flexibility based on workload demands.

11. Central Water Cooling System:
- Type: All-in-One (AIO) liquid cooling system
- Configuration: Centralized radiator with tubing connecting to individual CPU water blocks.
- Function: Efficiently dissipates heat from CPUs, maintaining optimal temperatures for the entire system.
- Design Choice: AIO liquid cooling for effective and centralized heat dissipation, reducing noise compared to air cooling.

12. Storage:
- Type: NVMe SSD (User's choice)
- Capacity: User's choice based on storage requirements.
- Function: High-speed storage for fast data access.
- Design Choice: NVMe SSD for high-speed data access, with user flexibility in choosing capacity based on storage needs.

13. Motherboard:
- Socket Compatibility: Supports LGA1700, LGA1200, LGA3647, and LGA2066 (Intel)
- PCIe Slots: Supports multiple PCIe slots for GPUs and other expansion cards.
- Memory Slots: Supports DDR4 memory modules.
- Form Factor: User's choice based on system requirements.
- Function: Provides the platform for connecting and coordinating all components.
- Design Choice: Versatile motherboard supporting multiple socket types, PCIe slots for expandability, and DDR4 memory for efficient data handling.

14. Power Supply:
- Capacity: 750W
- Efficiency Rating: Choose a PSU with a high efficiency rating (e.g., 80 PLUS Bronze, Silver, Gold, or Platinum).
- Function: Supplies power to all components with overhead for peak demands and potential future upgrades.
- Design Choice: 750W PSU with high efficiency for stable and reliable power delivery.

 

[Heyo]

So had a bit of fun with ChatGPT and we designed a computer together

It still amazes me when you start talking with it, how capable it is at keeping track of things and that it just doesn't go completely nuts.

But this is what we created.

Thought process
In reimagining computer architecture, our conceptual modular design introduces a departure from conventional norms. Unlike traditional systems centered around a single general-purpose processor, our approach involves an array of specialized CPUs. Each CPU is meticulously crafted for optimal performance in specific tasks, such as artificial intelligence, scientific computations, multimedia processing, databases, networking, security, and parallel computing.

At the core of this structure is the Intelligent Task Scheduler (ITS-CPU), strategically allocating resources to maximize overall efficiency. With a focus on parallel processing, streamlined resource management, and task-specific offloading, our computer system offers unprecedented adaptability.

Conceptual Modular Computer Design:

1. ITS-CPU (Intelligent Task Scheduler):

• Socket Assignment: LGA1700 (Intel)
• Memory: 32 gigabytes
• Function: Manages task scheduling, load balancing, and coordination among specialized CPUs.
• Design Choice: Chose LGA1700 for compatibility and future upgrade options. 32GB memory for efficient multitasking and data handling.

2. AI Accelerator (AI-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 16 gigabytes
• Function: Optimized for artificial intelligence tasks, machine learning, and neural network computations.
• Design Choice: LGA1200 for compatibility. 16GB memory for AI processing and efficient data handling.

3. Scientific Computing Processor (Sci-CPU):

• Socket Assignment: LGA3647 (Intel)
• Memory: 16 gigabytes
• Function: Specialized for scientific and numerical computations.
• Design Choice: LGA3647 for high-performance computing. 16GB memory for handling complex scientific calculations.

4. Multimedia Processor (Media-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 8 gigabytes
• Function: Optimized for multimedia processing tasks.
• Design Choice: LGA1200 for compatibility. 8GB memory for efficient multimedia processing.

5. Database Accelerator (DB-CPU):

• Socket Assignment: LGA2066 (Intel)
• Memory: 8 gigabytes
• Function: Specialized for database operations and data management tasks.
• Design Choice: LGA2066 for compatibility. 8GB memory for database-related tasks.

6. Networking Processor (Net-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 8 gigabytes
• Function: Optimized for network-related tasks.
• Design Choice: LGA1200 for compatibility. 8GB memory for efficient network processing.

7. Security Processor (Sec-CPU):

• Socket Assignment: LGA1200 (Intel)
• Memory: 8 gigabytes
• Function: Specialized for security-related tasks, encryption, and decryption.
• Design Choice: LGA1200 for compatibility. 8GB memory for secure data processing.

8. Parallel Computing Processor (Par-CPU):

• Socket Assignment: LGA3647 (Intel)
• Memory: 16 gigabytes
• Function: General-purpose parallel processor for versatile parallel tasks.
• Design Choice: LGA3647 for high-performance parallel computing. 16GB memory for parallel task execution.

9. Shared Memory for Communication:

• Memory: 8 gigabytes
• Function: Facilitates efficient data exchange and communication between specialized CPUs.
• Design Choice: 8GB shared memory for seamless communication and data exchange.

10. General-Purpose CPUs (Dynamic Allocation):
- Private Memory for each CPU: 4 gigabytes
- Shared Memory for inter-CPU communication: 8 gigabytes
- Function: Dynamic allocation based on workload demands, serving as backup and handling general-purpose tasks during periods of low utilization in specialized CPUs.
- Design Choice: Balanced memory allocation to ensure efficient utilization and flexibility based on workload demands.

11. Central Water Cooling System:
- Type: All-in-One (AIO) liquid cooling system
- Configuration: Centralized radiator with tubing connecting to individual CPU water blocks.
- Function: Efficiently dissipates heat from CPUs, maintaining optimal temperatures for the entire system.
- Design Choice: AIO liquid cooling for effective and centralized heat dissipation, reducing noise compared to air cooling.

12. Storage:
- Type: NVMe SSD (User's choice)
- Capacity: User's choice based on storage requirements.
- Function: High-speed storage for fast data access.
- Design Choice: NVMe SSD for high-speed data access, with user flexibility in choosing capacity based on storage needs.

13. Motherboard:
- Socket Compatibility: Supports LGA1700, LGA1200, LGA3647, and LGA2066 (Intel)
- PCIe Slots: Supports multiple PCIe slots for GPUs and other expansion cards.
- Memory Slots: Supports DDR4 memory modules.
- Form Factor: User's choice based on system requirements.
- Function: Provides the platform for connecting and coordinating all components.
- Design Choice: Versatile motherboard supporting multiple socket types, PCIe slots for expandability, and DDR4 memory for efficient data handling.

14. Power Supply:
- Capacity: 750W
- Efficiency Rating: Choose a PSU with a high efficiency rating (e.g., 80 PLUS Bronze, Silver, Gold, or Platinum).
- Function: Supplies power to all components with overhead for peak demands and potential future upgrades.
- Design Choice: 750W PSU with high efficiency for stable and reliable power delivery.

I like heterogeneous systems and I'd go much farther than you. I'd include a transputer farm for parallel processes and AI, general purpose, programmable analog computers for differential equation solutions and quantum computers for security (and getting around it).
Storage (especially for databases): use RAID5 systems (even with SSDs), possibly one of best performance boosts for everyday tasks.

Overall a nice idea to contemplate.

 

[Nimos]

I like heterogeneous systems and I'd go much farther than you. I'd include a transputer farm for parallel processes and AI, general purpose, programmable analog computers for differential equation solutions and quantum computers for security (and getting around it).
Storage (especially for databases): use RAID5 systems (even with SSDs), possibly one of best performance boosts for everyday tasks.

Overall a nice idea to contemplate.

The idea behind the computer is based on improving the current way that computers work on a every day basis and to make them more effective. Because as we know almost every task that is a bit heavy uses the GPU. So I wanted to get around that and apply that to the rest of the computer. Obviously, the specialized CPUs, would have to be smaller and not use the sockets I assigned. I simply told the AI to apply whatever sockets it thought would be the best for each task that the CPU would handle, but also each of these CPUs would be used as backup for other tasks, so if a CPU is struggling the ITS-CPU can transfer tasks to those with low working load, as a backup system.

And I asked it whether you could built it in theory and this is what it said:
The conceptual modular computer design described is theoretically plausible given current understandings of computer architecture, technology, and manufacturing capabilities. However, several challenges and considerations would need to be addressed in the practical implementation:

1. Compatibility and Integration: Ensuring seamless compatibility and integration among different specialized CPUs, the Intelligent Task Scheduler, and other components is a complex engineering task.
2. Heat Dissipation: Effectively managing heat dissipation, especially with multiple specialized CPUs, would require advanced cooling solutions to prevent thermal issues and maintain optimal operating conditions.
3. Manufacturability: The production of specialized CPUs with varying architectures on a large scale might pose manufacturing challenges, including cost considerations and production efficiency.
4. Software Optimization: Developing software and applications that can efficiently leverage the capabilities of the specialized CPUs and the Intelligent Task Scheduler would be crucial for realizing the potential performance benefits.
5. User Interface and Control: Designing an intuitive user interface for managing the system, allocating tasks, and customizing configurations is essential for user-friendly operation.
6. Power Efficiency: Despite the potential for power efficiency with task-specific processors, ensuring the overall system's energy efficiency is crucial for sustainability and cost-effectiveness.
7. Economic Viability: The cost of manufacturing and the overall economic viability of such a modular system would need to be carefully evaluated to determine its feasibility in the market.
8. Technological Advancements: The success of the concept may depend on the evolution of technology, including advancements in manufacturing processes, materials, and computational methodologies.

While the theoretical framework suggests exciting possibilities, the practical implementation would require interdisciplinary collaboration among computer engineers, hardware manufacturers, software developers, and other experts. Continuous advancements in technology and innovative solutions could pave the way for realizing such a conceptual modular computer system in the future.

I just think it is funny to test it and see where a chat goes, as I said it is really impressive to me, that it can even remotely have a chat like this and not talk complete nonsense.

I can't share the whole chat as it would be a lot of pages, but it does constantly point out issues that could occur with the current design, and you can address these individually.
But imagine if you were working for Intel or AMD designing computers and knew all the newest technologies, electrical engineering stuff etc. This would be a pretty handy tool to spar with I think, especially if you train it to be an expert in the area you are working with, because that way you could go into extreme details.

 

[Heyo]

The idea behind the computer is based on improving the current way that computers work on a every day basis and to make them more effective. Because as we know almost every task that is a bit heavy uses the GPU. So I wanted to get around that and apply that to the rest of the computer. Obviously, the specialized CPUs, would have to be smaller and not use the sockets I assigned. I simply told the AI to apply whatever sockets it thought would be the best for each task that the CPU would handle, but also each of these CPUs would be used as backup for other tasks, so if a CPU is struggling the ITS-CPU can transfer tasks to those with low working load, as a backup system.

And I asked it whether you could built it in theory and this is what it said:
The conceptual modular computer design described is theoretically plausible given current understandings of computer architecture, technology, and manufacturing capabilities. However, several challenges and considerations would need to be addressed in the practical implementation:

1. Compatibility and Integration: Ensuring seamless compatibility and integration among different specialized CPUs, the Intelligent Task Scheduler, and other components is a complex engineering task.
2. Heat Dissipation: Effectively managing heat dissipation, especially with multiple specialized CPUs, would require advanced cooling solutions to prevent thermal issues and maintain optimal operating conditions.
3. Manufacturability: The production of specialized CPUs with varying architectures on a large scale might pose manufacturing challenges, including cost considerations and production efficiency.
4. Software Optimization: Developing software and applications that can efficiently leverage the capabilities of the specialized CPUs and the Intelligent Task Scheduler would be crucial for realizing the potential performance benefits.
5. User Interface and Control: Designing an intuitive user interface for managing the system, allocating tasks, and customizing configurations is essential for user-friendly operation.
6. Power Efficiency: Despite the potential for power efficiency with task-specific processors, ensuring the overall system's energy efficiency is crucial for sustainability and cost-effectiveness.
7. Economic Viability: The cost of manufacturing and the overall economic viability of such a modular system would need to be carefully evaluated to determine its feasibility in the market.
8. Technological Advancements: The success of the concept may depend on the evolution of technology, including advancements in manufacturing processes, materials, and computational methodologies.

While the theoretical framework suggests exciting possibilities, the practical implementation would require interdisciplinary collaboration among computer engineers, hardware manufacturers, software developers, and other experts. Continuous advancements in technology and innovative solutions could pave the way for realizing such a conceptual modular computer system in the future.

I just think it is funny to test it and see where a chat goes, as I said it is really impressive to me, that it can even remotely have a chat like this and not talk complete nonsense.

I can't share the whole chat as it would be a lot of pages, but it does constantly point out issues that could occur with the current design, and you can address these individually.
But imagine if you were working for Intel or AMD designing computers and knew all the newest technologies, electrical engineering stuff etc. This would be a pretty handy tool to spar with I think, especially if you train it to be an expert in the area you are working with, because that way you could go into extreme details.

I think I need to get into this AI stuff more. Are you using the free model or a paid variant?

 

[Nimos]

I think I need to get into this AI stuff more. Are you using the free model or a paid variant?

Im using the free one v3.5, but you can pay for access to a better version, ChatGPT 4 which can do a lot more. So Im using the worse version so to speak

ChatGPT