diff --git a/convert.py b/convert.py
index a29d363a..f9837440 100755
--- a/convert.py
+++ b/convert.py
@@ -87,7 +87,6 @@ def main():
         num_gpus=1 if settings.CUDA else 0,
         storage=settings.RAY_CACHE_PATH,
         _temp_dir=settings.RAY_CACHE_PATH,
-        dashboard_host=settings.RAY_DASHBOARD_HOST,
         log_to_driver=settings.DEBUG
     )
 
diff --git a/marker/debug/data.py b/marker/debug/data.py
index 4258fea7..6a32da3e 100644
--- a/marker/debug/data.py
+++ b/marker/debug/data.py
@@ -21,11 +21,10 @@ def dump_equation_debug_data(doc, images, converted_spans):
     assert len(converted_spans) == len(images)
 
     data_lines = []
-    for idx, (image, converted_span) in enumerate(zip(images, converted_spans)):
+    for idx, (pil_image, converted_span) in enumerate(zip(images, converted_spans)):
         if converted_span is None:
             continue
         # Image is a BytesIO object
-        pil_image = Image.open(image)
         img_bytes = io.BytesIO()
         pil_image.save(img_bytes, format="WEBP", lossless=True)
         b64_image = base64.b64encode(img_bytes.getvalue()).decode("utf-8")
diff --git a/marker/settings.py b/marker/settings.py
index ad3a9656..9f2591e5 100644
--- a/marker/settings.py
+++ b/marker/settings.py
@@ -78,7 +78,7 @@ def TORCH_DEVICE_MODEL(self) -> str:
     TEXIFY_MODEL_MAX: int = 384 # Max inference length for texify
     TEXIFY_TOKEN_BUFFER: int = 256 # Number of tokens to buffer above max for texify
     TEXIFY_DPI: int = 96 # DPI to render images at
-    TEXIFY_BATCH_SIZE: int = 1 if TORCH_DEVICE_MODEL == "cpu" else 6 # Batch size for texify, don't batch on cpu
+    TEXIFY_BATCH_SIZE: int = 2 if TORCH_DEVICE_MODEL == "cpu" else 6 # Batch size for texify, lower on cpu due to float32
     TEXIFY_MODEL_NAME: str = "vikp/texify"
 
     # Layout model
@@ -102,7 +102,6 @@ def TORCH_DEVICE_MODEL(self) -> str:
 
     # Ray
     RAY_CACHE_PATH: Optional[str] = None # Where to save ray cache
-    RAY_DASHBOARD_HOST: str = "127.0.0.1"
     RAY_CORES_PER_WORKER: int = 1 # How many cpu cores to allocate per worker
 
     # Debug
diff --git a/poetry.lock b/poetry.lock
index 2d8f8bcb..03b4d568 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3341,31 +3341,31 @@ full = ["numpy"]
 
 [[package]]
 name = "ray"
-version = "2.8.1"
+version = "2.9.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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-    {file = "ray-2.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4e8b43c9e2dbddbddac281cb518138228f2742d829a488490664dad350ea1aff"},
-    {file = "ray-2.8.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:b1c1986ce3ed32b7304e1480e2cdfad2af2118a4b5ab561a671b5d83b3353b65"},
-    {file = "ray-2.8.1-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:8dab22b7d0659f1d8f8df7fc62895955c28c2c51ea5cb4c2b89ec0bbe4f1c573"},
-    {file = "ray-2.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:b68388647d169e7b059dba5dcff7f704a0a31d46c91205862ceb477c7bf07cf5"},
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-    {file = "ray-2.8.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9d20c20c14809dcfc93e441ac72028497ce4554d966ac950df455c2f68079d2c"},
-    {file = "ray-2.8.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:8ec10b85058ce2e191ceb312382683e2cc9e81d063feab02527eecdc19220955"},
-    {file = "ray-2.8.1-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:05cc635f579067419478f006406e1954268a3efa8409cb5621d5ed4c5426b8c7"},
-    {file = "ray-2.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:f66a0ca8e07a851deab82f7592e1c3b7e4d95d27f5870c43e5266e8ca824aac0"},
-    {file = "ray-2.8.1-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:932e7129007ea2152676bbd66b59c2df7c165c36fb669442f29b488b0027de21"},
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-    {file = "ray-2.8.1-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:7fd8e73af2635869b51828b2acff87f45d74a396729443a243804e306b8c8931"},
-    {file = "ray-2.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:a256ccbec67f22fe9a2da1b72c9f2057ee2d97414779faf84685288e6008d451"},
-    {file = "ray-2.8.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:6d0a4f08794c517fdadf5fc1e5442c6424cb6678e309731ff1d5bcbc7af168fb"},
-    {file = "ray-2.8.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0054c59bd110a9e026a1fcfa1e35ee0909f197245bd20d4303d1cd862ecda870"},
-    {file = "ray-2.8.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:67602e38ef01936027c4b298b99a8d839278a301af1892d72c6244b39a3ed01b"},
-    {file = "ray-2.8.1-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:fc39b645703470b3084c4ac02cde01decbf8427385cf8ea3ab574d49454872b6"},
-    {file = "ray-2.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:cc8ae2d02abe2ef590794deb372b43be71ba8cf449c76724cfc06dc0b34f6b69"},
+    {file = "ray-2.9.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:eca277062646ef4ce87ffe249a0a816dba0b80c5720708c9973dcb6c17527fa1"},
+    {file = "ray-2.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:15e075f647b52ec210538985b4cb2665f64fb76acab77f66f1893653964db64e"},
+    {file = "ray-2.9.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:ef8ba4d6126d8aacfc611b967a23e3e9571edf010756277991e8de9af56bd0ee"},
+    {file = "ray-2.9.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:bb79596c449c4ba027bc9839299617d8c876b1a5b61f16a1e401aa901ad45183"},
+    {file = "ray-2.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:724ff0103919fb98181010cfbcd0d52a1b78b0dc84cbfd6e7ea0094b74e90a26"},
+    {file = "ray-2.9.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:47d9d949e362112213bc53631b08183d1fe254d66d58131377cee913e5891597"},
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+    {file = "ray-2.9.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:013984b5d76b3ce63ab4616a5e57b4545524003d8b3df27df90007545cc6e364"},
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+    {file = "ray-2.9.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:e54cef078e75718a56fe65d4b5be14e7193fc0743c6dba3e6d78ad1284e13556"},
+    {file = "ray-2.9.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:dabba731106e3a5f0093d2eeae21c822db1f01768e7806eb4f39f06db94eec12"},
+    {file = "ray-2.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:8de5efb388d503bb35d92f1570b8456cf3f2d01e856a9003814164356d2d75e7"},
 ]
 
 [package.dependencies]
@@ -3375,23 +3375,22 @@ filelock = "*"
 frozenlist = "*"
 jsonschema = "*"
 msgpack = ">=1.0.0,<2.0.0"
-numpy = {version = ">=1.19.3", markers = "python_version >= \"3.9\""}
 packaging = "*"
 protobuf = ">=3.15.3,<3.19.5 || >3.19.5"
 pyyaml = "*"
 requests = "*"
 
 [package.extras]
-air = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "fsspec", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
-all = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "dm-tree", "fastapi", "fsspec", "gpustat (>=1.0.0)", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml", "ray-cpp (==2.8.1)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
+air = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "fsspec", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
+all = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "dm-tree", "fastapi", "fsspec", "gpustat (>=1.0.0)", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.9.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
 client = ["grpcio (!=1.56.0)"]
-cpp = ["ray-cpp (==2.8.1)"]
+cpp = ["ray-cpp (==2.9.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
-default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2)", "requests", "smart-open", "virtualenv (>=20.0.24,<20.21.1)"]
+default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,<20.21.1)"]
 observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 rllib = ["dm-tree", "fsspec", "gymnasium (==0.28.1)", "lz4", "pandas", "pyarrow (>=6.0.1)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "tensorboardX (>=1.9)", "typer"]
-serve = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
-serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
+serve = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
+serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "gpustat (>=1.0.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,<20.21.1)", "watchfiles"]
 train = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
 tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]