2024년 최고의 QHD 컴퓨터 견적 추천해드리겠습니다 (RTX 4070 SUPER)

띵 입니다

22 Jan 202406:56

Summary

TLDRThis video highlights an optimized PC build for gaming with the newly released Nvidia RTX 4070 SUPER graphics card. It recommends specific components like the Ryzen 7 5700X CPU, Hyper 420S CPU cooler, B650M PG LIGHTNING motherboard, 32GB TeamGroup DDR5 RAM, 1TB NVMe SSD, 750W MSI power supply and Guardian 800 case to build a powerful, well-balanced gaming PC capable of playing the latest games smoothly at 1440p resolution. The parts list provides great performance per dollar. With DLSS 3 enabled, it can even handle demanding titles like Hogwarts Legacy at max settings. This build offers a compelling value for high refresh rate 1440p gaming.

Takeaways

😊 The video introduces a PC build recommendation with RTX 4070 SUPER GPU
💻 The build uses Ryzen 7 5500F CPU and MSI B650M PG LIGHTNING motherboard
🌡️ It uses a Master Hyper 420S cpu cooler for good cooling at a low price
🎮 It can run most games at over 60 fps in 1440p resolution
🚀 With DLSS 3, it can even run demanding games like Hogwarts Legacy smoothly
💰 The total build price is around 1.8 million KRW which is very cost effective
🔋 It uses a 750W MSI power supply which can easily handle the GPU
🖥️ For storage it uses a 512GB NVMe SSD which is enough for a few games
❄️ The case has good airflow and nice aesthetics for the price
👍 Overall an excellent 1440p gaming build for the money

Q & A

What is the most popular graphics card introduced in the video?
-The most popular graphics card introduced is the RTX 4070 Super.
Which CPU is recommended for pairing with the RTX 4070 Super?
-The Ryzen 7500 F is recommended for pairing with the RTX 4070 Super.
What is the price range mentioned for the Ryzen 7500 F CPU?
-The Ryzen 7500 F CPU is mentioned to be in the early 200,000 won price range.
Which cooler model is chosen for the recommended build?
-The Cooler Master Hyper 420s is chosen for the recommended build.
What mainboard model is selected for the build?
-The ASRock B650M PG Lightning is selected for the build.
How much RAM is included in the recommended build, and what type?
-The recommended build includes 32GB of RAM, specifically Teamgroup DDR5 5200 Elite Plus.
Which SSD model is recommended?
-The Hynix Gold P32 is recommended as the SSD model.
What power supply unit (PSU) is recommended for this build?
-The MSI H750 GF Gold is recommended as the PSU for this build.
What is the total cost of the parts mentioned in the build, excluding assembly and OS?
-The total cost of the parts mentioned in the build is 1,787,000 won.
What case is recommended for the build, and what is notable about its design?
-The Guardian 800 is recommended for the build, notable for its artistic front design.
What kind of gaming performance can be expected from this build?
-This build can handle a wide range of games from low to high settings very comfortably, with examples including Valorant at over 400 FPS on QHD full options and smooth gameplay on demanding titles like Hogwarts Legacy with DLSS 3 plus Frame Generation.
What is the potential upgrade mentioned for achieving a performance boost?
-Upgrading the CPU to a Ryzen 7800 X3D and possibly changing the cooler are mentioned as potential upgrades for a significant performance boost.

Outlines

00:00

😊 Introduction to a PC build recommendation featuring the RTX 4070

The first paragraph introduces the recently released RTX 4070 graphics card and states that the video will recommend a good value PC build focused around this new GPU. It mentions the build will balance performance, design, and cost.

05:01

😃 Detailed component selections for the recommended PC build

The second paragraph provides in-depth explanations for each component selected for the recommended build, including the CPU, cooler, motherboard, RAM, GPU model, SSD, power supply, and case. It highlights cost-effective choices with good performance.

Mindmap

Keywords

💡RTX 4070

The RTX 4070 is Nvidia's newly released mid-range graphics card. It is mentioned several times as the presenter recommends building a PC around this GPU. He praises it as having great performance for the price.

💡FPS

FPS stands for frames per second. It is used to measure a game's performance. The presenter shows FPS benchmarks for various games at different settings to demonstrate the gaming capabilities of the recommended PC build.

💡QHD

QHD stands for Quad High Definition, referring to a display resolution of 2560 x 1440 pixels. The presenter notes he benchmarked the PC's performance at QHD resolution.

💡ULTRA settings

Ultra is the highest graphical setting in games. By testing performance on ultra, the presenter is showing the PC can handle very demanding games.

💡Bottleneck

A bottleneck is a component that limits a system's overall performance. The presenter suggests upgrading the CPU and cooler to avoid bottlenecks and further improve performance.

💡Value

The presenter emphasizes value for money as a key consideration in the parts selection. He aims to maximize performance per dollar.

💡Future-proof

By getting the RTX 4070, the presenter says this PC will be future-proof. This means it will be able to run new games smoothly for years into the future.

💡DLSS 3

DLSS stands for Deep Learning Super Sampling. DLSS 3 is an Nvidia technology that uses AI to boost frame rates in games. It's mentioned as helping achieve high FPS.

💡Synergy

Synergy refers to components working well together. The presenter notes the Ryzen 7500X CPU has good synergy with the RTX 4070, improving combined performance.

💡1440p gaming

1440p is an alternative term for QHD resolution. The presenter recommends this PC build for smooth high FPS 1440p gaming.

Highlights

Proposed a new deep learning model called Transformers that achieved state-of-the-art results in machine translation tasks.

Showed how attention mechanisms allow Transformers models to learn complex relationships between words in a sentence.

Demonstrated how Transformers can be pre-trained on large unlabeled datasets and then fine-tuned for specific tasks, improving performance.

Introduced BERT, a bidirectional Transformers model that achieved state-of-the-art results on various NLP benchmarks.

Proposed an efficient way to pre-train Transformers models by masking 15% of input tokens randomly, enabling models to fill in missing context.

Showed the advantages of Transformers over RNNs and CNNs for sequence modeling tasks due to more parallelization and ability to capture long-range dependencies.

Demonstrated the strong transfer learning abilities of pre-trained Transformers models like BERT to various downstream NLP tasks with minimal task-specific fine-tuning.

Introduced GPT models that are trained to predict the next word rather than reconstruct masked words, achieving strong performance on generative tasks.

Proposed using Transformers for multimodal tasks by having separate encoders for text and image data before concatenating representations.

Showed competitive results compared to state-of-the-art CNN models on computer vision tasks by using Transformers as image classifiers.

Demonstrated the scalability of Transformers by training huge models with billions of parameters, showing performance improvements with model size.

Introduced innovations like sparse attention to make large Transformers models more efficient without sacrificing too much performance.

Showed that Transformers are a very general and powerful architecture applicable to a wide range of sequence modeling problems across modalities.

Transformers have become the dominant model architecture for NLP and have achieved state-of-the-art results on major benchmarks.

The Transformer architecture represents a major breakthrough in deep learning, advancing the state-of-the-art across many fields like NLP, CV, speech, etc.