Databricks Runtime 19 for Machine Learning (Beta)
The following release notes provide information about Databricks Runtime 19 ML.
Databricks released this version in June 2026.
Databricks Runtime 19 is in Beta. The contents of the supported environments might change during the Beta. Changes can include the list of packages or versions of installed packages.
Databricks Runtime 19 ML is built on top of Databricks Runtime 19. For information on what's new in Databricks Runtime 19, including Apache Spark MLlib and SparkR, see the Databricks Runtime 19 (Beta) release notes.
New features and improvements
Library updates include:
- CUDA update to 13.0
- flash_attn 2.8.3
- langchain 1.3.1
- mlflow-skinny 3.12.0
- openai 2.37.0
- torch 2.12.0
- torchvision 0.27.0
- transformers 4.57.6
- triton 3.7.0
- xgboost 3.2.0
System environment
The system environment in Databricks Runtime 19 ML differs from Databricks Runtime 19 as follows.
- For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
- CUDA 13.0
- cublas 13.1.1.3-1
- cusolver 12.0.4.66
- cupti 13.0.85
- cusparse 12.6.3.3
- cuDNN 9.23.0.39
- NCCL 2.28.3
Libraries
The following sections list the libraries included in Databricks Runtime 19 ML that differ from those included in Databricks Runtime 19.
Top-tier libraries
Databricks Runtime 19 ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 19 ML uses virtualenv for Python package management and includes many popular ML packages.
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download requirements-cpu-19.txt for CPU clusters or requirements-gpu-19.txt for GPU clusters. Then run pip install -r requirements-<cpu|gpu>-19.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install libraries developed by Databricks.
Python libraries on CPU clusters
Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
absl-py | 2.3.1 | accelerate | 1.13.0 | aiohappyeyeballs | 2.6.1 |
aiohttp | 3.13.2 | aiohttp-cors | 0.8.1 | aiosignal | 1.4.0 |
alembic | 1.18.4 | annotated-doc | 0.0.4 | annotated-types | 0.7.0 |
anyio | 4.10.0 | arro3-core | 0.8.0 | asttokens | 3.0.0 |
astunparse | 1.6.3 | attrs | 25.4.0 | audioread | 3.1.0 |
autocommand | 2.2.2 | azure-core | 1.41.0 | azure-cosmos | 4.3.1 |
azure-identity | 1.25.3 | azure-mgmt-core | 1.6.0 | azure-mgmt-web | 10.1.0 |
azure-storage-blob | 12.29.0 | azure-storage-file-datalake | 12.24.0 | backports.tarfile | 1.2.0 |
black | 25.9.0 | blinker | 1.7.0 | blis | 1.3.3 |
boto3 | 1.40.46 | botocore | 1.40.46 | cachetools | 5.5.1 |
catalogue | 2.0.10 | certifi | 2025.11.12 | cffi | 2.0.0 |
charset-normalizer | 3.4.4 | click | 8.2.1 | cloudpathlib | 0.24.0 |
cloudpickle | 3.1.1 | cmdstanpy | 1.3.0 | colorful | 0.5.8 |
colorlog | 6.10.1 | comm | 0.2.3 | confection | 1.3.3 |
contourpy | 1.3.3 | cryptography | 46.0.3 | cycler | 0.11.0 |
cymem | 2.0.13 | databricks-agents | 1.10.2 | databricks-feature-engineering | 0.13.0.1 |
databricks-sdk | 0.108.0 | dataclasses-json | 0.6.7 | datasets | 4.8.5 |
dbl-tempo | 0.1.26 | dbus-python | 1.3.2 | debugpy | 1.8.16 |
decorator | 5.2.1 | deepspeed | 0.19.0 | deltalake | 1.5.1 |
Deprecated | 1.3.1 | dill | 0.4.0 | distlib | 0.4.0 |
dm-tree | 0.1.10 | einops | 0.8.2 | evaluate | 0.4.6 |
executing | 2.2.1 | Farama-Notifications | 0.0.6 | fastapi | 0.136.1 |
filelock | 3.20.0 | Flask | 2.2.5 | fonttools | 4.60.1 |
frozenlist | 1.8.0 | fsspec | 2023.5.0 | gitdb | 4.0.11 |
GitPython | 3.1.45 | google-api-core | 2.30.3 | google-auth | 2.53.0 |
google-cloud-core | 2.6.0 | google-cloud-storage | 3.10.1 | google-crc32c | 1.8.0 |
google-resumable-media | 2.9.0 | googleapis-common-protos | 1.71.0 | graphql-core | 3.2.4 |
greenlet | 3.2.4 | grpcio | 1.76.0 | grpcio-status | 1.76.0 |
gymnasium | 0.28.1 | h11 | 0.16.0 | hf-xet | 1.5.0 |
hjson | 3.1.0 | holidays | 0.54 | httpcore | 1.0.9 |
httplib2 | 0.20.4 | httpx | 0.28.1 | huggingface_hub | 0.36.2 |
idna | 3.11 | ImageIO | 2.37.2 | imbalanced-learn | 0.14.0 |
importlib_metadata | 8.7.0 | importlib_resources | 7.1.0 | inflect | 7.3.1 |
iniconfig | 2.1.0 | ipyflow-core | 0.0.227 | ipykernel | 6.31.0 |
ipython | 9.7.0 | ipython_pygments_lexers | 1.1.1 | ipywidgets | 8.1.7 |
isodate | 0.7.2 | itsdangerous | 2.2.0 | jaraco.collections | 5.1.0 |
jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 | jaraco.text | 3.12.1 |
jax-jumpy | 1.0.0 | jedi | 0.19.2 | Jinja2 | 3.1.6 |
jiter | 0.15.0 | jmespath | 1.0.1 | joblib | 1.5.2 |
joblibspark | 0.6.0 | jsonpatch | 1.33 | jsonpointer | 3.1.1 |
jsonschema | 4.25.0 | jsonschema-specifications | 2025.9.1 | jupyter_client | 8.6.3 |
jupyter_core | 5.8.1 | jupyterlab_widgets | 3.0.15 | kiwisolver | 1.4.8 |
langchain | 1.3.1 | langchain-core | 1.4.0 | langchain-protocol | 0.0.15 |
langgraph | 1.2.1 | langgraph-checkpoint | 4.1.1 | langgraph-prebuilt | 1.1.0 |
langgraph-sdk | 0.3.15 | langsmith | 0.4.41 | launchpadlib | 1.11.0 |
lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 | lazy_loader | 0.4 |
librosa | 0.11.0 | lightgbm | 4.6.0 | linkify-it-py | 2.0.3 |
llvmlite | 0.45.1 | lz4 | 4.4.5 | Mako | 1.3.12 |
marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
MarkupSafe | 3.0.2 | marshmallow | 3.26.2 | matplotlib | 3.10.6 |
matplotlib-inline | 0.2.1 | mccabe | 0.7.0 | mdit-py-plugins | 0.5.0 |
mdurl | 0.1.2 | memray | 1.19.3 | mlflow-skinny | 3.12.0 |
mmh3 | 5.2.1 | more-itertools | 10.3.0 | mpmath | 1.3.0 |
msal | 1.36.0 | msal-extensions | 1.3.1 | msgpack | 1.1.2 |
msrest | 0.7.1 | multidict | 6.7.0 | multiprocess | 0.70.18 |
murmurhash | 1.0.15 | mypy-extensions | 1.0.0 | nest-asyncio | 1.6.0 |
networkx | 3.5 | ninja | 1.13.0 | nltk | 3.9.2 |
nodeenv | 1.10.0 | numba | 0.62.1 | numpy | 2.3.4 |
nvidia-nccl-cu12 | 2.30.4 | oauthlib | 3.2.0 | openai | 2.37.0 |
opencensus | 0.11.4 | opencensus-context | 0.1.3 | opentelemetry-api | 1.42.1 |
opentelemetry-proto | 1.42.1 | opentelemetry-sdk | 1.42.1 | opentelemetry-semantic-conventions | 0.63b1 |
optuna | 3.6.1 | optuna-integration | 3.6.0 | orjson | 3.11.9 |
ormsgpack | 1.12.2 | packaging | 25.0 | pandas | 2.3.3 |
parso | 0.8.5 | pathspec | 0.12.1 | patsy | 1.0.1 |
pexpect | 4.9.0 | pillow | 12.0.0 | pip | 25.3 |
platformdirs | 4.5.0 | pluggy | 1.5.0 | pooch | 1.9.0 |
preshed | 3.0.13 | prometheus_client | 0.21.1 | prompt_toolkit | 3.0.52 |
propcache | 0.3.1 | prophet | 1.2.1 | proto-plus | 1.28.0 |
protobuf | 6.33.5 | psutil | 7.0.0 | ptyprocess | 0.7.0 |
pure_eval | 0.2.3 | py-cpuinfo | 9.0.0 | py-spy | 0.4.2 |
pyarrow | 21.0.0 | pyasn1 | 0.6.1 | pyasn1_modules | 0.4.2 |
pyccolo | 0.0.83 | pycparser | 2.23 | pydantic | 2.13.3 |
pydantic_core | 2.46.3 | pyflakes | 3.2.0 | Pygments | 2.19.2 |
PyGObject | 3.48.2 | pyiceberg | 0.11.1 | PyJWT | 2.10.1 |
pyparsing | 3.2.5 | pyright | 1.1.409 | pyroaring | 1.1.0 |
pytesseract | 0.3.13 | pytest | 8.4.2 | python-dateutil | 2.9.0.post0 |
python-dotenv | 1.2.2 | python-editor | 1.0.4 | pytokens | 0.2.0 |
pytz | 2025.2 | PyYAML | 6.0.3 | pyzmq | 27.1.0 |
ray | 2.37.0 | referencing | 0.37.0 | regex | 2025.9.1 |
requests | 2.32.5 | requests-oauthlib | 2.0.0 | requests-toolbelt | 1.0.0 |
rich | 14.2.0 | rpds-py | 0.28.0 | s3transfer | 0.14.0 |
safetensors | 0.7.0 | scikit-image | 0.25.2 | scikit-learn | 1.7.2 |
scipy | 1.16.3 | sentence-transformers | 5.5.1 | sentencepiece | 0.2.1 |
setuptools | 80.9.0 | shap | 0.51.0 | shellingham | 1.5.4 |
six | 1.17.0 | slicer | 0.0.8 | smart_open | 7.6.1 |
smmap | 5.0.0 | sniffio | 1.3.0 | soundfile | 0.13.1 |
soxr | 1.1.0 | spacy | 3.8.14 | spacy-legacy | 3.0.12 |
spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.43 | sqlparse | 0.5.5 |
srsly | 2.5.3 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
stanio | 0.5.1 | starlette | 0.52.1 | statsmodels | 0.14.5 |
strictyaml | 1.7.3 | sympy | 1.14.0 | tenacity | 9.1.2 |
tensorboard | 2.20.0 | tensorboard-data-server | 0.7.2 | tensorboardX | 2.6.5 |
textual | 8.2.7 | thinc | 8.3.13 | threadpoolctl | 3.5.0 |
tifffile | 2025.10.4 | tiktoken | 0.13.0 | tokenize_rt | 6.2.0 |
tokenizers | 0.22.1 | tomli | 2.0.1 | torch | 2.12.0+cpu |
torcheval | 0.0.7 | torchvision | 0.27.0+cpu | tornado | 6.5.1 |
tqdm | 4.67.1 | traitlets | 5.14.3 | transformers | 4.57.6 |
typeguard | 4.3.0 | typer | 0.25.1 | typing-inspect | 0.9.0 |
typing-inspection | 0.4.2 | typing_extensions | 4.15.0 | tzdata | 2026.2 |
uc-micro-py | 1.0.3 | unattended-upgrades | 0.1 | urllib3 | 2.5.0 |
uuid_utils | 0.16.0 | uvicorn | 0.47.0 | virtualenv | 20.35.4 |
wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.13 |
weasel | 1.0.0 | Werkzeug | 3.1.3 | wheel | 0.45.1 |
whenever | 0.7.3 | widgetsnbextension | 4.0.14 | wrapt | 1.17.0 |
xgboost | 3.2.0 | xgboost-ray | 0.1.19 | xxhash | 3.5.0 |
yarl | 1.22.0 | zipp | 3.23.0 | zstandard | 0.25.0 |
Python libraries on GPU clusters
PyTorch uses the CUDA PyPI dependencies to provide CUDA support instead of the CUDA library versions that are built into Databricks Runtime 19 ML.
Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
absl-py | 2.3.1 | accelerate | 1.13.0 | aiohappyeyeballs | 2.6.1 |
aiohttp | 3.13.2 | aiohttp-cors | 0.8.1 | aiosignal | 1.4.0 |
annotated-doc | 0.0.4 | annotated-types | 0.7.0 | anyio | 4.10.0 |
arro3-core | 0.8.0 | asttokens | 3.0.0 | astunparse | 1.6.3 |
attrs | 25.4.0 | audioread | 3.1.0 | autocommand | 2.2.2 |
azure-core | 1.41.0 | azure-cosmos | 4.3.1 | azure-identity | 1.25.3 |
azure-mgmt-core | 1.6.0 | azure-mgmt-web | 10.1.0 | azure-storage-blob | 12.29.0 |
azure-storage-file-datalake | 12.24.0 | backports.tarfile | 1.2.0 | black | 25.9.0 |
blinker | 1.7.0 | blis | 1.3.3 | boto3 | 1.40.46 |
botocore | 1.40.46 | cachetools | 5.5.1 | catalogue | 2.0.10 |
certifi | 2025.11.12 | cffi | 2.0.0 | charset-normalizer | 3.4.4 |
click | 8.2.1 | cloudpathlib | 0.24.0 | cloudpickle | 3.1.1 |
cmdstanpy | 1.3.0 | colorful | 0.5.8 | colorlog | 6.10.1 |
comm | 0.2.3 | confection | 1.3.3 | contourpy | 1.3.3 |
cryptography | 46.0.3 | cuda-bindings | 13.2.0 | cuda-pathfinder | 1.5.4 |
cuda-toolkit | 13.0.2 | cycler | 0.11.0 | cymem | 2.0.13 |
databricks-agents | 1.10.2 | databricks-feature-engineering | 0.13.0.1 | databricks-sdk | 0.108.0 |
dataclasses-json | 0.6.7 | datasets | 4.8.5 | dbl-tempo | 0.1.26 |
dbus-python | 1.3.2 | debugpy | 1.8.16 | decorator | 5.2.1 |
deepspeed | 0.19.0 | deltalake | 1.5.1 | Deprecated | 1.3.1 |
dill | 0.4.0 | distlib | 0.4.0 | dm-tree | 0.1.10 |
einops | 0.8.2 | evaluate | 0.4.6 | executing | 2.2.1 |
Farama-Notifications | 0.0.6 | fastapi | 0.136.3 | filelock | 3.20.0 |
flash_attn | 2.8.3 | Flask | 2.2.5 | fonttools | 4.60.1 |
frozenlist | 1.8.0 | fsspec | 2023.5.0 | gitdb | 4.0.11 |
GitPython | 3.1.45 | google-api-core | 2.30.3 | google-auth | 2.53.0 |
google-cloud-core | 2.6.0 | google-cloud-storage | 3.10.1 | google-crc32c | 1.8.0 |
google-resumable-media | 2.9.0 | googleapis-common-protos | 1.71.0 | graphql-core | 3.2.4 |
greenlet | 3.2.4 | grpcio | 1.76.0 | grpcio-status | 1.76.0 |
gymnasium | 0.28.1 | h11 | 0.16.0 | hf-xet | 1.5.0 |
hjson | 3.1.0 | holidays | 0.54 | httpcore | 1.0.9 |
httplib2 | 0.20.4 | httpx | 0.28.1 | huggingface_hub | 0.36.2 |
idna | 3.11 | ImageIO | 2.37.2 | imbalanced-learn | 0.14.0 |
importlib_metadata | 8.7.0 | importlib_resources | 7.1.0 | inflect | 7.3.1 |
iniconfig | 2.1.0 | ipyflow-core | 0.0.227 | ipykernel | 6.31.0 |
ipython | 9.7.0 | ipython_pygments_lexers | 1.1.1 | ipywidgets | 8.1.7 |
isodate | 0.7.2 | itsdangerous | 2.2.0 | jaraco.collections | 5.1.0 |
jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 | jaraco.text | 3.12.1 |
jax-jumpy | 1.0.0 | jedi | 0.19.2 | Jinja2 | 3.1.6 |
jiter | 0.15.0 | jmespath | 1.0.1 | joblib | 1.5.2 |
joblibspark | 0.6.0 | jsonpatch | 1.33 | jsonpointer | 3.1.1 |
jsonschema | 4.25.0 | jsonschema-specifications | 2025.9.1 | jupyter_client | 8.6.3 |
jupyter_core | 5.8.1 | jupyterlab_widgets | 3.0.15 | kiwisolver | 1.4.8 |
langchain | 1.3.1 | langchain-core | 1.4.0 | langchain-protocol | 0.0.15 |
langgraph | 1.2.1 | langgraph-checkpoint | 4.1.1 | langgraph-prebuilt | 1.1.0 |
langgraph-sdk | 0.3.15 | langsmith | 0.4.41 | launchpadlib | 1.11.0 |
lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 | lazy_loader | 0.4 |
librosa | 0.11.0 | lightgbm | 4.6.0 | linkify-it-py | 2.0.3 |
llvmlite | 0.45.1 | lz4 | 4.4.5 | Mako | 1.3.12 |
marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
MarkupSafe | 3.0.2 | marshmallow | 3.26.2 | matplotlib | 3.10.6 |
matplotlib-inline | 0.2.1 | mccabe | 0.7.0 | mdit-py-plugins | 0.5.0 |
mdurl | 0.1.2 | memray | 1.19.3 | mlflow-skinny | 3.12.0 |
mmh3 | 5.2.1 | more-itertools | 10.3.0 | mpmath | 1.3.0 |
msal | 1.36.0 | msal-extensions | 1.3.1 | msgpack | 1.1.2 |
msrest | 0.7.1 | multidict | 6.7.0 | multiprocess | 0.70.18 |
murmurhash | 1.0.15 | mypy-extensions | 1.0.0 | nest-asyncio | 1.6.0 |
networkx | 3.5 | ninja | 1.13.0 | nltk | 3.9.2 |
nodeenv | 1.10.0 | numba | 0.62.1 | numpy | 2.3.4 |
nvidia-cublas | 13.1.1.3 | nvidia-cuda-cupti | 13.0.85 | nvidia-cuda-nvrtc | 13.0.88 |
nvidia-cuda-runtime | 13.0.96 | nvidia-cudnn-cu13 | 9.20.0.48 | nvidia-cufft | 12.0.0.61 |
nvidia-cufile | 1.15.1.6 | nvidia-curand | 10.4.0.35 | nvidia-cusolver | 12.0.4.66 |
nvidia-cusparse | 12.6.3.3 | nvidia-cusparselt-cu13 | 0.8.1 | nvidia-ml-py | 13.580.82 |
nvidia-nccl-cu12 | 2.30.4 | nvidia-nccl-cu13 | 2.29.7 | nvidia-nvjitlink | 13.0.88 |
nvidia-nvshmem-cu13 | 3.4.5 | nvidia-nvtx | 13.0.85 | oauthlib | 3.2.0 |
openai | 2.37.0 | opencensus | 0.11.4 | opencensus-context | 0.1.3 |
opentelemetry-api | 1.42.1 | opentelemetry-proto | 1.42.1 | opentelemetry-sdk | 1.42.1 |
opentelemetry-semantic-conventions | 0.63b1 | optuna | 3.6.1 | optuna-integration | 3.6.0 |
orjson | 3.11.9 | ormsgpack | 1.12.2 | packaging | 25.0 |
pandas | 2.3.3 | parso | 0.8.5 | pathspec | 0.12.1 |
patsy | 1.0.1 | pexpect | 4.9.0 | pillow | 12.0.0 |
pip | 25.3 | platformdirs | 4.5.0 | pluggy | 1.5.0 |
pooch | 1.9.0 | preshed | 3.0.13 | prometheus_client | 0.21.1 |
prompt_toolkit | 3.0.52 | propcache | 0.3.1 | prophet | 1.2.1 |
proto-plus | 1.28.0 | protobuf | 6.33.5 | psutil | 7.0.0 |
ptyprocess | 0.7.0 | pure_eval | 0.2.3 | py-cpuinfo | 9.0.0 |
py-spy | 0.4.2 | pyarrow | 21.0.0 | pyasn1 | 0.6.1 |
pyasn1_modules | 0.4.2 | pyccolo | 0.0.83 | pycparser | 2.23 |
pydantic | 2.13.3 | pydantic_core | 2.46.3 | pyflakes | 3.2.0 |
Pygments | 2.19.2 | PyGObject | 3.48.2 | pyiceberg | 0.11.1 |
PyJWT | 2.10.1 | pyparsing | 3.2.5 | pyright | 1.1.409 |
pyroaring | 1.1.0 | pytesseract | 0.3.13 | pytest | 8.4.2 |
python-dateutil | 2.9.0.post0 | python-dotenv | 1.2.2 | python-editor | 1.0.4 |
pytokens | 0.2.0 | pytz | 2025.2 | PyYAML | 6.0.3 |
pyzmq | 27.1.0 | ray | 2.37.0 | referencing | 0.37.0 |
regex | 2025.9.1 | requests | 2.32.5 | requests-oauthlib | 2.0.0 |
requests-toolbelt | 1.0.0 | rich | 14.2.0 | rpds-py | 0.28.0 |
s3transfer | 0.14.0 | safetensors | 0.7.0 | scikit-image | 0.25.2 |
scikit-learn | 1.7.2 | scipy | 1.16.3 | sentence-transformers | 5.5.1 |
sentencepiece | 0.2.1 | setuptools | 80.9.0 | shap | 0.51.0 |
shellingham | 1.5.4 | six | 1.17.0 | slicer | 0.0.8 |
smart_open | 7.6.1 | smmap | 5.0.0 | sniffio | 1.3.0 |
soundfile | 0.13.1 | soxr | 1.1.0 | spacy | 3.8.14 |
spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.43 |
sqlparse | 0.5.5 | srsly | 2.5.3 | ssh-import-id | 5.11 |
stack-data | 0.6.3 | stanio | 0.5.1 | starlette | 0.52.1 |
statsmodels | 0.14.5 | strictyaml | 1.7.3 | sympy | 1.14.0 |
tenacity | 9.1.2 | tensorboard | 2.20.0 | tensorboard-data-server | 0.7.2 |
tensorboardX | 2.6.5 | textual | 8.2.7 | thinc | 8.3.13 |
threadpoolctl | 3.5.0 | tifffile | 2025.10.4 | tiktoken | 0.13.0 |
tokenize_rt | 6.2.0 | tokenizers | 0.22.1 | tomli | 2.0.1 |
torch | 2.12.0 | torcheval | 0.0.7 | torchvision | 0.27.0 |
tornado | 6.5.1 | tqdm | 4.67.1 | traitlets | 5.14.3 |
transformers | 4.57.6 | triton | 3.7.0 | typeguard | 4.3.0 |
typer | 0.25.1 | typing-inspect | 0.9.0 | typing-inspection | 0.4.2 |
typing_extensions | 4.15.0 | tzdata | 2026.2 | uc-micro-py | 1.0.3 |
unattended-upgrades | 0.1 | urllib3 | 2.5.0 | uuid_utils | 0.16.0 |
uvicorn | 0.47.0 | virtualenv | 20.35.4 | wadllib | 1.3.6 |
wasabi | 1.1.3 | wcwidth | 0.2.13 | weasel | 1.0.0 |
Werkzeug | 3.1.3 | wheel | 0.45.1 | whenever | 0.7.3 |
widgetsnbextension | 4.0.14 | wrapt | 1.17.0 | xgboost | 3.2.0 |
xgboost-ray | 0.1.19 | xxhash | 3.5.0 | yarl | 1.22.0 |
zipp | 3.23.0 | zstandard | 0.25.0 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 19.
Java and Scala libraries (Scala 2.13 cluster)
In addition to Java and Scala libraries in Databricks Runtime 19, Databricks Runtime 19 ML contains the following JARs:
CPU clusters
Group ID | Artifact ID | Version |
|---|---|---|
ml.dmlc | xgboost4j-spark_2.13 | 2.1.3 |
ml.dmlc | xgboost4j_2.13 | 2.1.3 |
org.graphframes | graphframes_2.13 | 0.8.4-db1-spark3.5 |
org.mlflow | mlflow-client | 2.15.1 |
org.scala-lang.modules | scala-collection-compat_2.13 | 2.12.0 |
org.tensorflow | spark-tensorflow-connector_2.13 | 1.15.0 |
GPU clusters
Group ID | Artifact ID | Version |
|---|---|---|
ml.dmlc | xgboost4j-spark-gpu_2.13 | 2.1.3 |
ml.dmlc | xgboost4j-gpu_2.13 | 2.1.3 |
org.graphframes | graphframes_2.13 | 0.8.4-db1-spark3.5 |
org.mlflow | mlflow-client | 2.15.1 |
org.scala-lang.modules | scala-collection-compat_2.13 | 2.12.0 |
org.tensorflow | spark-tensorflow-connector_2.13 | 1.15.0 |
Unsupported releases
To see release notes for Databricks Runtime versions that have reached end-of-support (EoS), see End-of-support Databricks Runtime release notes. The EoS Databricks Runtime versions have been retired and might not be updated.