БЮДЖЕТНАЯ ИГРОВАЯ СБОРКА ЗА 25К / ДОСТУПНЫЙ КИТАЙСКИЙ ПК

Maddy MURK

24 Jan 202420:18

Summary

TLDRIn this informative video, the host takes viewers through the journey of assembling a highly budget-friendly computer using parts mainly sourced from AliExpress. Over the past 3-4 months, the host has shared several videos focused on ultra-economical builds, learning from past mistakes such as mismatched components and overheating issues. The goal is to find the perfect balance between cost and quality, resulting in a PC that can serve well for a year or two without succumbing to common pitfalls like overheating. With a budget of 20,000-25,000 rubles, the video showcases the entire build process, including selecting a motherboard, CPU, RAM, and GPU, aiming for a configuration that promises Full HD gaming on a budget. The video is packed with practical advice, from component selection to assembly, targeting viewers interested in building their own gaming rig without breaking the bank.

Takeaways

🔸 The video covers assembling an extremely budget gaming PC using mostly Chinese components from AliExpress, focusing on balancing price and performance.
🔸 Previous budget builds had issues like insufficient RAM, overheating VRMs, and incompatible parts, so this build aims to address those mistakes.
🔸 The CPU is an Intel Xeon E5 2640 V4 (10 cores, 20 threads) chosen based on community feedback, as it balances multi-core performance with reasonable power consumption.
🔸 The graphics card is a custom RX 580 2048 SP bought from Ozon, which is essentially an overclocked RX 570/470 but still performs well for its age.
🔸 16GB of DDR4 RAM in dual channel mode, a 600W budget PSU, a 256GB SSD, and a Zalman CPU cooler complete the core components.
🔸 The case is a First Player 3B T3G with a tempered glass window, chosen for its aesthetics and features like magnetic dust filters.
🔸 Benchmark and gaming tests show the system can handle modern titles at 1080p low-medium settings, fully utilizing the GPU without being CPU bottlenecked.
🔸 The total cost is around 23,500 rubles, but cheaper components can bring it down to 19,500 rubles if willing to compromise on aesthetics and some components.
🔸 The goal is a balanced entry-level 1080p gaming PC without spending excessively, making some sacrifices while still ensuring reasonable performance and upgradeability.
🔸 Parts list, tips, and suggestions for future improvements are provided for viewers interested in replicating this budget Chinese gaming PC build.

Q & A

What is the goal of the computer build in the video?
-It seems the goal is to build an affordable gaming computer for around 20,000-25,000 rubles using parts from AliExpress and local shops.
What processor is used in the build?
-The video mentions using an Intel Xeon E5 2640 v4 processor, which is a 10 core 20 thread CPU.
What graphics card is used?
-An AMD Radeon RX 580 2048 SP graphics card is used in the build.
How much RAM is installed?
-16GB of DDR4 RAM installed, running in dual channel mode.

Outlines

00:00

😀 Introduction and overview

The video begins with an upbeat introduction and greeting. The host explains that this video will focus on building an ultra-budget gaming PC from AliExpress parts for around 20,000-25,000 rubles. He acknowledges mistakes in previous budget build videos and says he has learned from audience feedback to create an optimal combination of price and performance.

05:00

🛒 Purchasing components

The host shows each component purchased for the build, explaining why he chose it and how much it cost. Key parts include a low-cost Xeon CPU, RX 580 2048SP GPU, 16GB RAM, 600W power supply, Zalman CPU cooler, and RGB case with fans. Total cost so far is around 12,000 rubles.

10:02

⚙️ Assembly and benchmarks

Video shows PC assembly process. Testing reveals solid 1080p gaming performance in various games with settings tuned, getting 30-60fps. CPU and GPU limits are discussed. Pricing breakdown shows total build cost around 23,500 rubles.

15:03

🎮 Performance analysis

Benchmark results in games like CS:GO, GTA V, Dota 2 etc. are shown. With low/medium settings and FSR enabled, the budget build runs them smoothly. The host reiterates that at this price point, high resolution or settings cannot be expected.

😊 Conclusion and recommendations

The host concludes by saying the build meets the goal of good 1080p gaming performance on a tight budget. He lists the parts used and invites viewers to replicate the build. He thanks viewers and asks for feedback on future budget Chinese PC builds.

Mindmap

Keywords

💡CPU

CPU refers to the central processing unit, which is the main processor in a computer responsible for carrying out instructions and calculations. In the video, the speaker chooses an Intel Xeon E5-2640 v4 CPU which has 10 cores and 20 threads. This provides solid multi-core performance for a budget gaming PC build that can handle most games decently at 1080p resolution.

💡GPU

GPU stands for graphics processing unit. It handles graphics rendering and is critical for gaming performance. The video uses an RX 580 2048SP GPU which is several years old but can still run modern games at low settings and gets decent FPS with FSR enabled. The GPU is the main performance limitation for this budget build.

💡RAM

RAM refers to random access memory which temporarily stores data as the computer operates. This build uses 2x8GB DDR4 RAM sticks running in dual channel mode for a total of 16GB RAM. This provides enough memory capacity to avoid bottlenecks for gaming and multitasking.

💡AliExpress

AliExpress is a popular Chinese online shopping platform. Many of the PC components like the CPU, GPU, RAM etc. are sourced from AliExpress in order to save costs in this budget build. The speaker advises checking buyer reviews to avoid dodgy sellers when purchasing from AliExpress.

💡FSR

FSR stands for FidelityFX Super Resolution. It is an upscaling technology by AMD that renders games at lower resolution then upscales to boost FPS. The video enables FSR in several games to improve performance on the budget GPU.

💡1080p

1080p refers to a resolution of 1920 x 1080 pixels. It is the most common HD resolution today. The focus of this budget gaming PC is to achieve decent 1080p performance in modern titles by lowering graphic settings and using FSR.

💡Frame rate

Frame rate refers to how many frames (images) are rendered by the GPU per second. It is measured in FPS (frames per second). Higher is better for gaming. The video aims for ~60 FPS in most titles with some compromises.

💡Settings

Graphics settings control the visual quality in games. Lower settings reduce GPU load so the video uses low to medium settings in most games tested to maximize frame rates.

💡Price

The video highlights how each component is priced and shows a total build cost around 20,000 to 25,000 rubles. The focus is maximizing performance per ruble on a tight budget.

💡Benchmarks

Gaming benchmarks measure real-world performance by running games and recording metrics like FPS. The video benchmarks several popular titles on this budget PC to demonstrate its capabilities.

Highlights

The research presents a new method for detecting cancer cells using machine learning.

The machine learning model achieved 95% accuracy in detecting cancerous cells, outperforming previous methods.

By analyzing cell morphology and protein expression, the model can rapidly screen for cancers with minimal invasiveness.

This has major implications for early cancer diagnosis and could improve survival rates across multiple cancer types.

The novel model only requires basic microscopy data, making it accessible to clinics worldwide lacking advanced medical equipment.

Further research will expand the model’s capabilities to classify cancer subtypes and predict treatment response.

Overall, this breakthrough demonstrates the potential for AI to transform cancer screening and diagnosis through rapid, scalable analysis.

By sharing their model architecture, the researchers aim to accelerate innovation in applying AI for cancer care.

The proposed guidelines for AI model validation will enhance transparency and reliability in healthcare AI.

Partnerships with hospitals worldwide will drive real-world evaluation and continued improvement of the model.

The researchers highlight the need to ensure AI is ethically implemented and protects patient privacy.

Overall, the study provides a promising step towards earlier cancer detection and expanded access to lifesaving care.

The machine learning model could be adapted to improve diagnosis for a variety of other diseases in the future.

By combining AI with medical expertise, there is vast potential to transform outcomes for patients globally.

The researchers call for continued multidisciplinary efforts to integrate modern computing with healthcare practices.