The NVIDIA RTX 3070 Ti, with its 8GB of GDDR6X VRAM and Ampere architecture, is exceptionally well-suited for running the CLIP ViT-L/14 model. CLIP ViT-L/14, requiring only 1.5GB of VRAM in FP16 precision, leaves a significant 6.5GB VRAM headroom. This ample VRAM allows for large batch sizes, improving throughput and overall performance. The RTX 3070 Ti's memory bandwidth of 0.61 TB/s ensures that data is transferred efficiently between the GPU and memory, preventing bottlenecks during inference. Furthermore, the 6144 CUDA cores and 192 Tensor Cores within the RTX 3070 Ti accelerate the matrix multiplications and other computationally intensive operations inherent in the CLIP model.
Given the generous VRAM headroom, experiment with larger batch sizes to maximize GPU utilization and throughput. Start with a batch size of 32, as initially suggested, and incrementally increase it while monitoring VRAM usage to avoid exceeding the GPU's capacity. Consider using mixed precision (FP16) for further performance gains, as CLIP ViT-L/14 is designed to work efficiently in this format. For optimal latency, prioritize minimizing the context length to only what's necessary for your application. If you encounter any performance limitations, investigate optimizing your data loading and preprocessing pipelines to ensure they don't become bottlenecks.