vllm显存使用比例，vllm是预先分配显存，如果没有什么特殊情况，建议配置到0.9以上。 此回答整理自...
@mars-ch,如果你尝试使用较小的max_model_len呢？你能分享一下你的脚本吗？了解你使用的lora适配器...
@mars-ch,如果你尝试使用较小的max_model_len呢？你能分享一下你的脚本吗？了解你使用的lora适配器...
memory_usage_post_profile=26.69GiB non_torch_memory=0.74GiB kv_cache_size=3.91GiB gpu_memory_utilization=0.9 可以看出来基本占满了,gpu_memory_utilization默认开到了0.9,这个参数的高低代表了在使用GPU时,分配给模型和缓存的内存比例。果将 gpu_memory_utilization 设置为较高的值,这意味着模型可以使用更多的G...
parser.add_argument("--gpu_memory_utilization", type=str, default=None, help="GPU memory utilization") parser.add_argument("--gpu_memory_utilization", type=float, default=None, help="GPU memory utilization") parser.add_argument("--swap_space", type=int, default=4, help="Swap space to ...
gpu_memory_utilization=gpu_memory_utilization, enforce_eager=enforce_eager, kv_cache_dtype=kv_cache_dtype, device=device, @@ -206,13 +208,12 @@ def main(args: argparse.Namespace): args.output_len) if args.backend == "vllm": elapsed_time = run_vllm(requests, args.model, args.tokeniz...
GPU and Memory Utilization in Deep Learning. Learn more about gpu, nvidia, deep learning, parallel computing toolbox, dl
Minamiura, A study on a method of effective memory utilization on GPU applied for neighboring filter on image processing, in: Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, vol. 145, Springer, Berlin, Heidelberg, 2012, pp. 245-251....
importance of overcoming the bottleneck of HBM capacity. “Scaling LLM performance cost-effectively means keeping the GPUs fed with data,” stated Fan. “Our demo at GTC demonstrates that pools of tiered memory not only drive performance higher but also maximize the utilization of precious GPU ...
Hi, Just wondering if some one could break down the difference between the 4 parameters. I know TDP relates to % power consumption, but the other 3 are a bit more obscure. I came across this thread but it doesn't shed much light on what they actually rep