diff --git a/runtimes/huggingface/poetry.lock b/runtimes/huggingface/poetry.lock
index ed8d91efc..142b3f91a 100644
--- a/runtimes/huggingface/poetry.lock
+++ b/runtimes/huggingface/poetry.lock
@@ -2080,12 +2080,13 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 
 [[package]]
 name = "optimum"
-version = "1.9.1"
+version = "1.11.0"
 description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "optimum-1.9.1.tar.gz", hash = "sha256:77c7c19527652d59351c8d4eac517d694c64b316f4cb5e292a63e21c2503c304"},
+    {file = "optimum-1.11.0-py3-none-any.whl", hash = "sha256:2d1d6202aff0b8c2978818991c8974a7b3672a25fc5b54498d43936cd065d021"},
+    {file = "optimum-1.11.0.tar.gz", hash = "sha256:ba4821db92fa0394d90971b0c23ded612095dec5192921f35ad370f6dd41f991"},
 ]
 
 [package.dependencies]
@@ -2095,10 +2096,10 @@ datasets = [
     {version = ">=1.2.1", optional = true, markers = "extra == \"onnxruntime\""},
 ]
 evaluate = {version = "*", optional = true, markers = "extra == \"onnxruntime\""}
-huggingface_hub = ">=0.8.0"
+huggingface-hub = ">=0.8.0"
 numpy = "*"
 onnx = {version = "*", optional = true, markers = "extra == \"onnxruntime\""}
-onnxruntime = {version = ">=1.9.0", optional = true, markers = "extra == \"onnxruntime\""}
+onnxruntime = {version = ">=1.11.0", optional = true, markers = "extra == \"onnxruntime\""}
 packaging = "*"
 protobuf = {version = ">=3.20.1", optional = true, markers = "extra == \"onnxruntime\""}
 sympy = "*"
@@ -2107,22 +2108,24 @@ transformers = {version = ">=4.26.0", extras = ["sentencepiece"]}
 
 [package.extras]
 benchmark = ["evaluate (>=0.2.0)", "optuna", "scikit-learn", "seqeval", "torchvision", "tqdm"]
-dev = ["Pillow", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "parameterized", "pytest", "pytest-xdist", "requests", "ruff (>=0.0.241,<=0.0.259)", "sacremoses", "torchaudio", "torchvision"]
+dev = ["Pillow", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "ruff (>=0.0.241,<=0.0.259)", "sacremoses", "torchaudio", "torchvision"]
+diffusers = ["diffusers"]
 exporters = ["onnx", "onnxruntime", "timm"]
 exporters-gpu = ["onnx", "onnxruntime-gpu", "timm"]
-exporters-tf = ["h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>=2.4,<2.11)", "tf2onnx", "timm"]
+exporters-tf = ["h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>=2.4)", "tf2onnx", "timm"]
+furiosa = ["optimum-furiosa"]
 graphcore = ["optimum-graphcore"]
 habana = ["optimum-habana", "transformers (<4.29.0)"]
-intel = ["optimum-intel"]
-neural-compressor = ["optimum-intel[neural-compressor]"]
+intel = ["optimum-intel (>=1.10.1)"]
+neural-compressor = ["optimum-intel[neural-compressor] (>=1.9.2)"]
 neuron = ["optimum-neuron[neuron]"]
 neuronx = ["optimum-neuron[neuronx]"]
-nncf = ["optimum-intel[nncf]"]
-onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.9.0)", "protobuf (>=3.20.1)"]
-onnxruntime-gpu = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime-gpu (>=1.9.0)", "protobuf (>=3.20.1)"]
-openvino = ["optimum-intel[openvino]"]
+nncf = ["optimum-intel[nncf] (>=1.10.1)"]
+onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.11.0)", "protobuf (>=3.20.1)"]
+onnxruntime-gpu = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime-gpu (>=1.11.0)", "protobuf (>=3.20.1)"]
+openvino = ["optimum-intel[openvino] (>=1.10.1)"]
 quality = ["black (>=23.1,<24.0)", "ruff (>=0.0.241,<=0.0.259)"]
-tests = ["Pillow", "diffusers (>=0.17.0)", "parameterized", "pytest", "pytest-xdist", "requests", "sacremoses", "torchaudio", "torchvision"]
+tests = ["Pillow", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "sacremoses", "torchaudio", "torchvision"]
 
 [[package]]
 name = "orjson"