A NOVA PLACA DE INTELIGÊNCIA ARTIFICIAL PRA INSTALAR ATÉ EM PCS ANTIGOS

Summary

In this insightful video, the host explores groundbreaking hardware technologies unveiled at CES 2024, particularly focusing on advancements in NPU (Neural Processing Units) and AI acceleration cards. Highlighting Lenovo's compact yet powerful ThinkCenter PCs equipped with I9 processors and RTX 4060, the video also delves into Samsung's latest Galaxy S24 mobile processors featuring built-in AI capabilities. The introduction of Intel's newest laptop processors with dedicated NPU cores for AI tasks marks a significant evolution in computing. Additionally, the video showcases an innovative AI acceleration card, Memory X MX3, capable of enhancing AI tasks on PCs without native NPU support, potentially revolutionizing AI applications in everyday software and extending the utility of older hardware configurations.

Takeaways

• 👨‍💻 The video discusses new AI accelerator cards shown at CES 2024
• 🖥️ The cards can provide AI processing power to older PCs without native AI support
• 💡 The Memory X MX3 card has 4 chips, each providing 10 teraflops of processing
• 🤖 The card was demoed accelerating an AI character mimicking human motions
• ⚙️ The architecture inside the chips is optimized for AI tasks
• 🔌 The card uses a standard M.2 connector for easy installation
• 📈 AI features are appearing in more everyday software
• 🤔 Native AI support will make older PCs obsolete faster
• 😎 The card is like old math coprocessors for early PCs
• 📅 We'll have to wait and see if these cards become mainstream

Q & A

What new hardware technology was revealed at CES 2024?

A new AI acceleration card called the Memory X MX3 was revealed. It has 4 chips that can process up to 40 teraflops of information for AI tasks.

How does the Memory X card connect to the system?

It connects via a PCI Express interface and has components for USB communication and system processing interfaces.

What type of tasks can the Memory X card accelerate?

It is designed to accelerate AI workloads like analyzing camera input to animate a 3D character.

How does the Memory X card compare to NPUs in terms of power consumption?

Each Memory X chip consumes up to 12 watts, so the 4-chip card would use around 40-50 watts. This is likely more than a CPU integrated NPU.

Can older motherboards without M.2 slots use the Memory X card?

Yes, PCI Express adapter cards allow using the Memory X card even on older boards without M.2 slots.

How are the capabilities of the Memory X card specified?

In teraflops. Each chip provides 10 teraflops, so the 4-chip MX3 card provides 40 teraflops for AI processing.

Will AI acceleration be important for future software?

Possibly. If more everyday software starts using AI features, having dedicated hardware will likely become more important.

How did the Memory X card demonstrate its capabilities?

By analyzing camera input of people and mapping joint positions to animate a 3D character in real time.

What was the historical analogy mentioned in the video?

Math coprocessors for early computers that accelerated floating point calculations similarly to the AI acceleration cards.

When can we expect AI acceleration to become mainstream?

In the next few years if companies like Intel keep adding dedicated AI cores to CPUs and acceleration cards gain adoption.