THIS IS WHAT TODAY'S

@issamorii

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SoundTikTok sound · original sound - issamorii

Promoted product

NVIDIA GeForce RTX 2080 Ti VRAM Upgrade

Why it worked

The video taps into a common frustration among PC gamers and creators regarding the cost and availability of high-end hardware, specifically GPUs. By highlighting a seemingly simple and effective upgrade service, it sparks curiosity and discussion about why manufacturers don't offer such solutions, making it relatable and shareable.

Summary

The video discusses a GPU repair shop offering a VRAM upgrade for the NVIDIA GeForce RTX 2080 Ti, doubling its memory from 11GB to 22GB. The creator questions why this upgrade is not more widely available or offered by NVIDIA directly, given that it's possible and works.

Structure

1Introduction to the economic impact on people
2Announcement of GPU VRAM upgrade service
3Details of the RTX 2080 Ti upgrade
4Explanation of the upgrade process and benefits

Original caption

People Are Upgrading Their GPUs Now?! 🤯

More from @issamorii

Product placement

NVIDIA GeForce RTX 2080 Ti: This is a graphics processing unit (GPU) that is being upgraded. It ACTS as the core component being discussed and modified. Removing it would change the video's topic entirely. NVIDIA: This is the manufacturer of the GPU. It APPEARS as a logo on the GPU and is mentioned in the text. Removing it would not change the video's topic, as the focus is on the specific GPU model and the upgrade service. RTX 2080 Ti: This is a specific model of NVIDIA GPU. It ACTS as the subject of the upgrade. Removing it would change the video's topic. RTX 3070: This is another model of NVIDIA GPU, mentioned as having a similar upgrade available. It APPEARS in text. Removing it would not change the video's main topic but would remove a comparative detail. GDDR6: This is a type of memory used in GPUs. It ACTS as a component being replaced. Removing it would change the video's topic.

On-screen text

THIS IS WHAT TODAY'S ECONOMY DOES TO PEOPLE A GPU REPAIR SHOP IS NOW OFFERING A 22 GB VRAM UPGRADE FOR THE GEFORCE RTX 2080 TI DOUBLING THE CARD'S ORIGINAL 11 GIGABYTES OF MEMORY RTX 2080 Ti Memory Upgrade to 22 GB Expand your NVIDIA GeForce RTX 2080 Ti from 11 GB to a massive 22 GB of VRAM. This upgrade gives your card the extra memory needed for modern gaming, 3D rendering, and AI workloads. GPU Solutions offers this unique service to customers worldwide. What This Upgrade Does We double the RTX 2080 Ti's VRAM capacity by replacing all original GDDR6 memory modules with higher-density parts. With 22 GB available, your card handles ultra-high-resolution textures, heavy creative workloads, and memory-intensive AI applications more efficiently. SO THEY ARE DOUBLING THE CAPACITY BY REPLACING ALL ORIGINAL GDDR6 MEMORY MODULES WITH HIGHER DENSITY PARTS THERE'S ALSO A SIMILAR UPGRADE FOR 3070 SUCCESS RATE IS BECAUSE I'M PRETTY SURE IT'S NOT 100% BUT MY QUESTION ABOUT THIS IS IF SOMEONE CAN DO THIS AND IT ACTUALLY WORKS WHY IS THAT A PROBLEM FOR US TO GET THIS MUCH V RAM ORIGINALLY DO YOU THINK NVIDIA IS A BAD IDEA OR THERE IS ANOTHER REASON

Transcript

This is what today's economy does to people. A GPU repair shop is now offering a 22GB VRAM upgrade for the GeForce RTX 2080 Ti, doubling the card's original 11GB of memory. RTX 2080 Ti Memory Upgrade to 22 GB. Expand your NVIDIA GeForce RTX 2080 Ti from 11 GB to a massive 22 GB of VRAM. This upgrade gives your card the extra memory needed for modern gaming, 3D rendering, and AI workloads. GPU Solutions offers this unique service to customers worldwide. What This Upgrade Does. We double the RTX 2080 Ti's VRAM capacity by replacing all original GDDR6 memory modules with higher-density parts. With 22 GB available, your card handles ultra-high-resolution textures, heavy creative workloads, and memory-intensive AI applications more efficiently. So they are doubling the capacity by replacing all original GDDR6 memory modules with higher-density parts. There's also a similar upgrade for 3070. I wonder what their success rate is, because I'm pretty sure it's not 100%. But my question about this is, if someone can do this and it actually works, why is that a problem for us to get this much VRAM originally? Do you think NVIDIA is a bad idea or there is another reason?