Due to high Vulkan backend demand, I update TensorSharp and release the initial version of GGML Vulkan backend by leveraging external GGML project. The native Vulkan backend will be implemented later. I tested it on Nvidia Geforce RTX 3080 Laptop GPU, and Intel(R) UHD Graphics on Windows. They all work. However, I do not have AMD GPU, so I have no way to get it tested. It's really appreciated if you have AMD GPU and would like to try it out. Any feedback and comment are welcome.
Here is the benchmark I run to compare with llama.cpp:
Performance ratio — TensorSharp vs reference engines
Geomean of TensorSharp's per-scenario speedup over each reference engine on the same backend, across every scenario both engines ran (single-stream, MTP-off). A value > 1.0× means TensorSharp is faster (for decode / prefill throughput) or lower-latency (for TTFT); — = no overlapping cells. Per-scenario ratios are in each model's section below.
Model Comparison decode prefill TTFT
