In the final experimental assignment, the teacher asked us to develop a game by applying the knowledge we had learned. We encountered many GPU-related problems in terms of game graphics rendering and modeling.
In terms of game graphics rendering, the rendering of complex scenes demands extremely high GPU performance. For example, when rendering the epic battlefield scenes in a large-scale multiplayer online game, a large number of character models, elaborate architectural structures, and abundant special effects elements led to a sharp increase in the amount of rendering calculations. Low-end GPUs simply couldn't withstand such high-intensity operations, resulting in an extremely slow rendering speed. What was originally expected to complete the preliminary rendering in one week actually took nearly a month, seriously delaying the project progress. Moreover, due to insufficient GPU performance, the rendered images had obvious problems such as jagged edges and noise, which greatly affected the visual effects and immersion of the game. This was unacceptable for Blizzard games that pursue high-quality graphics.
During the 3D modeling stage, we also faced severe GPU challenges. When creating high-precision character models and complex prop models, the real-time preview function experienced serious stuttering. Every time we made detailed adjustments to the models, we had to wait for a long time to see the feedback, which greatly reduced the modeling efficiency. Furthermore, as the complexity of the models increased, the problem of insufficient GPU video memory became prominent. Models were often incompletely loaded or textures were lost, forcing us to spend a lot of time optimizing the models to adapt to the performance limitations of the existing GPUs.
Bychance, I discovered the GPU rental platform Burncloud (https://www.burncloud.com/835.html), which brought new hope for me to solve the above problems. On the Burncloud platform, after careful research and testing, I found that the RTX 4090 GPU could well meet my needs. The RTX 4090 has 16,384 CUDA cores and 24GB of GDDR6X video memory. It is currently the most powerful consumer-grade graphics card, suitable for 4K games, VR applications, and heavy-duty 3D rendering tasks. With powerful computing cores and high-bandwidth video memory, it performs excellently when handling complex rendering calculations and large 3D model data. For the large-scale scene rendering that once gave me a headache, it can shorten the rendering time to about one-third of the original, and at the same time effectively eliminate the problems of jagged edges and noise in the images, making the quality of the game graphics take a qualitative leap. In terms of 3D modeling, it can smoothly conduct real-time previews. Even the most complex models can be easily handled, greatly improving my modeling efficiency. And it only costs $0.96 per hour, which is really appealing.
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