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I tried running my GPU-accelerated algorithms, expecting a smooth ride, but instead, I hit a roadblock, the os simply refuses to recognize my CUDA-enabled graphics card.
Steps to Reproduce:
Install SerenityOS on a machine with a CUDA-enabled GPU.
Attempt to run any CUDA-dependent application or code.
Watch in dismay as the os fails to utilize the GPU, resulting in slower performance.
Expected Behavior:
SerenityOS should detect and utilize CUDA-enabled GPUs seamlessly.
Actual Behavior:
It treats my GPU like a paperweight.
Severity
This bug is critical, no doubt about it. It cripples the performance of GPU-intensive applications, making OS less desirable
Suggested Fix:
Integrate CUDA support into OS, ensuring seamless utilization of GPU resources.
The text was updated successfully, but these errors were encountered:
I tried running my GPU-accelerated algorithms, expecting a smooth ride, but instead, I hit a roadblock, the os simply refuses to recognize my CUDA-enabled graphics card.
Steps to Reproduce:
Install SerenityOS on a machine with a CUDA-enabled GPU.
Attempt to run any CUDA-dependent application or code.
Watch in dismay as the os fails to utilize the GPU, resulting in slower performance.
Expected Behavior:
SerenityOS should detect and utilize CUDA-enabled GPUs seamlessly.
Actual Behavior:
It treats my GPU like a paperweight.
Severity
This bug is critical, no doubt about it. It cripples the performance of GPU-intensive applications, making OS less desirable
Suggested Fix:
Integrate CUDA support into OS, ensuring seamless utilization of GPU resources.
The text was updated successfully, but these errors were encountered: