Databricks Runtime 19 for Machine Learning (Beta)

The following release notes provide information about Databricks Runtime 19 ML.

Azure Databricks released this version in June 2026.

Important

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

Note

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

Tip

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.