Increase thePower Target,GPU Voltage, and/orGPU Temp Targetas desired. If your GPU Voltage is measured in %, you can safely move these sliders all the way to the right for maximum performance, or set them wherever you’re comfortable. If your GPU Voltage is measured in mV, you’ll want...
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Before we explore specific optimization techniques, it’s crucial to understand how frame rates impact your gaming experience. Frame rate, measured in frames per second (FPS), determines how smooth and responsive your game feels. Different types of gaming experiences require different frame rates: 30...
Gamers, video editors, and graphics artists swear by the might of the graphics cards in their systems. A graphics card is a miniature marvel, indeed, packing a whole video computational engine on a ch
This post described how to time kernel execution using the CUDA event API. CUDA events use the GPU timer and therefore avoid the problems associated with host-device synchronization. We presented the effective bandwidth and computational throughput performance metrics, and we implemented effective bandwid...
once performance is measured, there is no ground truth available for defective components. Identifying which components are defective is problematic, as hardware specifications cannot reliably predict workload performance. Moreover, AI hardware often exhibits subst...
Scores are often measured in “marks” (or another program-specific term). A higher-performance CPU is one that scores higher, though it’s important to remember different CPUs are designed for different purposes; not all are gaming-focused. Use a test that reflects the way you plan on ...
Overclocking is often thought of in the context of a CPU or GPU, but you can also overclock RAM (random access memory) to achieve faster speeds. The speed of RAM, measured in MHz, refers to its data transfer rate. The faster the data transfer rate, the better the RAM’s performance. ...
In this post we described how you can time kernel execution using the CUDA event API. CUDA events use the GPU timer and therefore avoid the problems associated with host-device synchronization. We presented the effective bandwidth and computational throughput performance metrics, and we implemented ef...
In this particular case, when deploying the model using the entire GPU, we had a maximum throughput of 4200 tokens per second with a maximum of 64 virtual users. When deploying the same model in the maximum available replicas where it can be loaded, we measured around 9800 tokens per sec...