Serverless GPU environment version 6 (Preview)
This feature is in Public Preview.
This page outlines the system environment information for Serverless GPU environment version 6. This compute offering is part of AI Runtime, which is designed for modern AI and deep learning workloads.
Serverless GPU environment 6 is built on top of serverless environment 6 (CPU). See what's new in serverless environment 6 (CPU). It includes the following environment:
- Standard environment: a minimal environment with stable client API.
- Databricks AI environment: an environment with common runtime packages and packages specific to machine learning on GPUs.
To ensure compatibility for the application, Serverless GPU workloads use a versioned API, known as the environment version, which remains compatible with newer server versions.
You can select a base environment that includes this environment version using the Environment side panel in your serverless notebooks. See Interactive (Notebooks).
New features and improvements
In version 6, the CUDA libraries are upgraded to NVIDIA CUDA 13, and the accompanying dependencies are upgraded to match, including MLflow and the Serverless GPU Python API. The common machine learning and AI libraries in the Databricks AI environment are updated for compatibility with the new CUDA version, along with the addition of several newly popular libraries.
CUDA 13 and PyTorch 2.11
Databricks AI environment
Version 6 upgrades the Databricks AI environment to the NVIDIA CUDA 13 toolkit and runtime stack. PyTorch is updated to torch 2.11.0 (built for CUDA 13.0, +cu130) with torchvision 0.26.0, and the bundled NVIDIA libraries (cuBLAS, cuDNN, NCCL, cuFFT, cuSPARSE, and related runtime components) are upgraded to their CUDA 13 builds.
Updated deep learning and LLM libraries
Databricks AI environment
Key machine learning libraries are upgraded in the Databricks AI environment, including:
transformers 5.8.1vllm 0.24.0ray 2.56.0langchain 1.3.11sentence-transformers 5.5.1openai 2.37.0scikit-learn 1.7.2scipy 1.16.3trl 0.24.0
Serverless GPU Python API
The Serverless GPU Python API 0.5.24 is included in this environment. For the full history of Serverless GPU Python API changes, see the version 5 release notes.
Packages added to Databricks AI environment
The following notable packages have been added to the Databricks AI environment in version 6:
langgraph 1.2.8(withlanggraph-checkpoint,langgraph-prebuilt, andlanggraph-sdk)langchain-classic 1.0.8lightning 2.5.5polars 1.42.1ultralytics 8.4.90flash_attn_3 3.0.0andflash-attn-4 4.0.0b18flashinfer-cubin 0.6.12liger_kernel 0.8.1fastsafetensors 0.3.2tilelang 0.1.9xgboost-cu13 3.2.0(CUDA 13 build, replacingxgboost)tabfm 1.0.1
In addition, the CUDA 13 toolkit and runtime libraries (for example, cuda-toolkit 13.0.2, nvidia-cudnn-cu13, nvidia-nccl-cu13, and related nvidia-* packages) are added as part of the CUDA 13 upgrade.
Packages removed from Databricks AI environment
The following notable packages have been removed from the Databricks AI environment in version 6:
unsloth(andunsloth_zoo)xformersdiffusersbitsandbytestorchaolitellmlangchain-openaicupy-cuda12xmosaicml-streamingggufseabornxgboost(replaced byxgboost-cu13) andxgboost-ray
The CUDA 12 runtime libraries (the nvidia-*-cu12 packages) are removed as part of the CUDA 13 upgrade. The JupyterLab and notebook development stack (for example, jupyterlab, notebook, nbconvert, nbclient, nbformat) and the Python LSP developer tooling (python-lsp-server, python-lsp-jsonrpc, rope, yapf) are also no longer bundled in the Databricks AI environment.
Packages not included in base environment
The following packages are not included in the base environment but remain available in the Databricks AI environment:
flash_attntorchtorchvisionscikit-learnscipy
Based on customer feedback requesting control over PyTorch versioning, torch is not included in the base environment for version 6. This allows you to install the version that best fits your workload. To use a Databricks-tested version, run %pip install torch==2.11.0 in a notebook cell or install torch==2.11.0 using the Dependencies section of the Environment side panel.
System environment
- Operating System: Ubuntu 24.04 LTS
- Python: 3.12.3
- Databricks Connect: 19.0.0
- NVIDIA CUDA Toolkit: 13.0
Installed Python libraries
Standard environment
To reproduce serverless GPU environment 6 in your local Python virtual environment, download the requirements-env-gpu-6.txt file and run pip install -r requirements-env-gpu-6.txt. This command installs all of the libraries from serverless environment 6.
Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
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 |
azure-core | 1.41.0 | 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 |
black | 25.9.0 | blinker | 1.7.0 | boto3 | 1.40.46 |
botocore | 1.40.46 | cachetools | 5.5.1 | certifi | 2025.11.12 |
cffi | 2.0.0 | charset-normalizer | 3.4.4 | click | 8.2.1 |
cloudpickle | 3.1.1 | comm | 0.2.3 | contourpy | 1.3.3 |
cryptography | 46.0.3 | cycler | 0.11.0 | databricks-agents | 1.11.0 |
databricks-connect | 19.0.0 | databricks-sdk | 0.122.0 | databricks.serverless_gpu | 0.5.24 |
dataclasses-json | 0.6.7 | dbus-python | 1.3.2 | debugpy | 1.8.16 |
decorator | 5.2.1 | deltalake | 1.5.1 | Deprecated | 1.3.1 |
distlib | 0.4.0 | executing | 2.2.1 | fastapi | 0.136.3 |
filelock | 3.29.0 | fonttools | 4.60.1 | fsspec | 2025.9.0 |
future | 1.0.0 | 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 | grpcio | 1.76.0 | grpcio-status | 1.76.0 |
h11 | 0.16.0 | httplib2 | 0.20.4 | idna | 3.11 |
importlib_metadata | 8.7.0 | 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 | jedi | 0.19.2 |
Jinja2 | 3.1.6 | jmespath | 1.0.1 | joblib | 1.5.2 |
jupyter_client | 8.6.3 | jupyter_core | 5.8.1 | jupyterlab_widgets | 3.0.15 |
kiwisolver | 1.4.8 | launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 |
lazr.uri | 1.0.6 | 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 | mdurl | 0.1.2 | mlflow-skinny | 3.12.0 |
mmh3 | 5.2.1 | msal | 1.36.0 | msal-extensions | 1.3.1 |
msrest | 0.7.1 | mypy-extensions | 1.0.0 | nest-asyncio | 1.6.0 |
nodeenv | 1.10.0 | numpy | 2.3.4 | nvidia-ml-py | 13.590.44 |
oauthlib | 3.2.2 | opencv_python_headless | 5.0.0.93 | opentelemetry-api | 1.42.1 |
opentelemetry-proto | 1.42.1 | opentelemetry-sdk | 1.42.1 | opentelemetry-semantic-conventions | 0.63b1 |
packaging | 25.0 | pandas | 2.3.3 | parambench-train-comms | 0.0.0 |
parso | 0.8.5 | pathspec | 0.12.1 | pexpect | 4.9.0 |
pillow | 12.0.0 | pip | 25.3 | platformdirs | 4.5.0 |
pluggy | 1.5.0 | prompt_toolkit | 3.0.52 | proto-plus | 1.28.0 |
protobuf | 6.33.5 | psutil | 7.0.0 | ptyprocess | 0.7.0 |
pure_eval | 0.2.3 | py4j | 0.10.9.9 | 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 |
pydot | 4.0.0 | 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 |
pyspark | 4.3.0.dev0+databricks.connect.19.0.0 | pytest | 8.4.2 | python-dateutil | 2.9.0.post0 |
python-dotenv | 1.2.2 | pytokens | 0.2.0 | pytz | 2025.2 |
PyYAML | 6.0.3 | pyzmq | 27.1.0 | regex | 2025.9.1 |
requests | 2.32.5 | requests-oauthlib | 2.0.0 | rich | 14.2.0 |
s3transfer | 0.14.0 | setuptools | 80.9.0 | six | 1.17.0 |
smmap | 5.0.0 | sniffio | 1.3.0 | sqlparse | 0.5.5 |
ssh-import-id | 5.11 | stack-data | 0.6.3 | starlette | 0.52.1 |
strictyaml | 1.7.3 | tenacity | 9.1.2 | threadpoolctl | 3.5.0 |
tiktoken | 0.13.0 | tokenize_rt | 6.2.0 | tomli | 2.0.1 |
tornado | 6.5.1 | tqdm | 4.67.1 | traitlets | 5.14.3 |
typing-inspect | 0.9.0 | typing-inspection | 0.4.2 | typing_extensions | 4.15.0 |
tzdata | 2026.2 | unattended-upgrades | 0.1 | urllib3 | 2.5.0 |
uvicorn | 0.48.0 | virtualenv | 20.35.4 | wadllib | 1.3.6 |
wcwidth | 0.2.13 | wheel | 0.45.1 | whenever | 0.7.3 |
widgetsnbextension | 4.0.14 | wrapt | 1.17.0 | zipp | 3.23.0 |
zstandard | 0.25.0 |
AI environment
The AI environment includes all the packages from the Standard environment, as well as the following packages. This environment includes PyTorch and comprehensive machine learning libraries:
torch 2.11.0torchvision 0.26.0flash_attn 2.8.3catboost 1.2.10langchain 1.3.11langgraph 1.2.8lightgbm 4.6.0lightning 2.5.5openai 2.37.0optuna 4.5.0polars 1.42.1pytorch-lightning 2.5.4ray 2.56.0scikit-learn 1.7.2scipy 1.16.3sentence-transformers 5.5.1transformers 5.8.1trl 0.24.0ultralytics 8.4.90vllm 0.24.0xgboost-cu13 3.2.0
To reproduce AI environment V6 in your local Python virtual environment, download the requirements-ai-gpu-6.txt file and run pip install -r requirements-ai-gpu-6.txt. This command installs all the libraries from AI environment.
Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
absl-py | 2.4.0 | accelerate | 1.13.0 | aiohappyeyeballs | 2.6.1 |
aiohttp | 3.13.5 | aiohttp-cors | 0.8.1 | aiosignal | 1.4.0 |
alembic | 1.18.5 | annotated-doc | 0.0.4 | annotated-types | 0.7.0 |
anthropic | 0.116.0 | antlr4-python3-runtime | 4.9.3 | anyio | 4.10.0 |
apache-tvm-ffi | 0.1.9 | arro3-core | 0.8.0 | astor | 0.8.1 |
asttokens | 3.0.0 | astunparse | 1.6.3 | attrs | 25.4.0 |
audioread | 3.1.0 | azure-core | 1.41.0 | 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 | black | 25.9.0 | blake3 | 1.0.9 |
blinker | 1.7.0 | boto3 | 1.40.46 | botocore | 1.40.46 |
cachetools | 5.5.1 | catboost | 1.2.10 | cbor2 | 6.1.3 |
certifi | 2025.11.12 | cffi | 2.0.0 | charset-normalizer | 3.4.4 |
click | 8.4.2 | cloudpickle | 3.1.1 | colorful | 0.5.8 |
colorlog | 6.10.1 | comm | 0.2.3 | compressed-tensors | 0.17.0 |
contourpy | 1.3.3 | cryptography | 44.0.1 | cuda-bindings | 13.3.1 |
cuda-core | 1.0.1 | cuda-pathfinder | 1.5.6 | cuda-python | 13.3.1 |
cuda-tile | 1.3.0 | cuda-toolkit | 13.0.2 | cycler | 0.11.0 |
databricks-agents | 1.11.0 | databricks-sdk | 0.122.0 | dataclasses-json | 0.6.7 |
datasets | 4.8.5 | dbus-python | 1.3.2 | debugpy | 1.8.16 |
decorator | 5.2.1 | deltalake | 1.5.1 | Deprecated | 1.3.1 |
depyf | 0.20.0 | detect-installer | 0.1.0 | dill | 0.4.0 |
diskcache | 5.6.3 | distlib | 0.4.0 | dm-tree | 0.1.10 |
dnspython | 2.8.0 | docstring_parser | 0.18.0 | einops | 0.8.2 |
email-validator | 2.3.0 | evaluate | 0.4.6 | executing | 2.2.1 |
Farama-Notifications | 0.0.6 | fastapi | 0.136.3 | fastapi-cli | 0.0.28 |
fastapi-cloud-cli | 0.22.1 | fastar | 0.11.0 | fastsafetensors | 0.3.2 |
filelock | 3.29.0 | flash-attn-4 | 4.0.0b18 | flash_attn | 2.8.3 |
flash_attn_3 | 3.0.0 | flashinfer-cubin | 0.6.12 | flashinfer-python | 0.6.12 |
fonttools | 4.60.1 | frozenlist | 1.8.0 | fsspec | 2025.9.0 |
future | 1.0.0 | 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 | graphviz | 0.21 | greenlet | 3.2.4 |
grpcio | 1.76.0 | grpcio-status | 1.76.0 | gymnasium | 1.2.2 |
h11 | 0.16.0 | hf-xet | 1.5.1 | hf_transfer | 0.1.9 |
httpcore | 1.0.9 | httplib2 | 0.20.4 | httptools | 0.8.0 |
httpx | 0.28.1 | httpx-sse | 0.4.3 | huggingface_hub | 1.22.0 |
humming-kernels | 0.1.6 | idna | 3.11 | ijson | 3.5.1 |
importlib_metadata | 8.7.0 | iniconfig | 2.1.0 | interegular | 0.3.3 |
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 |
jedi | 0.19.2 | Jinja2 | 3.1.6 | jiter | 0.16.0 |
jmespath | 1.0.1 | joblib | 1.5.2 | 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 | 1.3.11 | langchain-classic | 1.0.8 |
langchain-community | 0.4.2 | langchain-core | 1.4.7 | langchain-protocol | 0.0.18 |
langchain-text-splitters | 1.1.2 | langgraph | 1.2.8 | langgraph-checkpoint | 4.1.1 |
langgraph-prebuilt | 1.1.0 | langgraph-sdk | 0.4.2 | langsmith | 0.9.3 |
lark | 1.2.2 | launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 |
lazr.uri | 1.0.6 | lazy_loader | 0.4 | librosa | 0.11.0 |
liger_kernel | 0.8.1 | lightgbm | 4.6.0 | lightning | 2.5.5 |
lightning-utilities | 0.15.3 | llguidance | 1.7.6 | llvmlite | 0.47.0 |
lm-format-enforcer | 0.11.3 | loguru | 0.7.3 | lz4 | 4.4.5 |
Mako | 1.3.12 | 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 | mcp | 1.28.1 | mdurl | 0.1.2 |
mistral_common | 1.11.5 | ml_dtypes | 0.5.4 | mlflow-skinny | 3.13.0 |
mmh3 | 5.2.1 | model-hosting-container-standards | 0.1.16 | mpmath | 1.3.0 |
msal | 1.36.0 | msal-extensions | 1.3.1 | msgpack | 1.2.1 |
msgspec | 0.21.1 | msrest | 0.7.1 | multidict | 6.7.0 |
multiprocess | 0.70.16 | mypy-extensions | 1.0.0 | narwhals | 2.7.0 |
nest-asyncio | 1.6.0 | networkx | 3.5 | ninja | 1.13.0 |
nodeenv | 1.10.0 | numba | 0.65.0 | numpy | 2.3.4 |
nvidia-cublas | 13.1.0.3 | nvidia-cuda-cccl | 13.3.3.4.1 | nvidia-cuda-crt | 13.3.73 |
nvidia-cuda-cupti | 13.0.85 | nvidia-cuda-nvcc | 13.2.78 | nvidia-cuda-nvrtc | 13.0.88 |
nvidia-cuda-runtime | 13.0.96 | nvidia-cuda-tileiras | 13.2.78 | nvidia-cudnn-cu13 | 9.19.0.56 |
nvidia-cudnn-frontend | 1.25.0 | 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 | 0.8.0 | nvidia-cutlass-dsl | 4.5.2 | nvidia-cutlass-dsl-libs-base | 4.5.2 |
nvidia-cutlass-dsl-libs-cu13 | 4.5.2 | nvidia-ml-py | 13.590.44 | nvidia-nccl-cu13 | 2.28.9 |
nvidia-nvjitlink | 13.0.88 | nvidia-nvshmem-cu13 | 3.4.5 | nvidia-nvtx | 13.0.85 |
nvidia-nvvm | 13.2.78 | oauthlib | 3.2.2 | omegaconf | 2.3.1 |
openai | 2.37.0 | openai-harmony | 0.0.8 | opencensus | 0.11.4 |
opencensus-context | 0.1.3 | opencv-python | 5.0.0.93 | opencv_python_headless | 5.0.0.93 |
opentelemetry-api | 1.42.1 | opentelemetry-exporter-otlp | 1.42.1 | opentelemetry-exporter-otlp-proto-common | 1.42.1 |
opentelemetry-exporter-otlp-proto-grpc | 1.42.1 | opentelemetry-exporter-otlp-proto-http | 1.42.1 | opentelemetry-exporter-prometheus | 0.63b1 |
opentelemetry-proto | 1.42.1 | opentelemetry-sdk | 1.42.1 | opentelemetry-semantic-conventions | 0.63b1 |
opentelemetry-semantic-conventions-ai | 0.5.1 | optuna | 4.5.0 | optuna-integration | 4.5.0 |
orjson | 3.11.9 | ormsgpack | 1.12.2 | outlines_core | 0.2.14 |
packaging | 25.0 | pandas | 2.3.3 | parso | 0.8.5 |
partial-json-parser | 0.2.1.1.post7 | pathspec | 0.12.1 | patsy | 1.0.1 |
peft | 0.19.1 | pexpect | 4.9.0 | pillow | 12.0.0 |
pip | 25.0.1 | platformdirs | 4.5.0 | plotly | 6.8.0 |
pluggy | 1.5.0 | polars | 1.42.1 | polars-runtime-32 | 1.42.1 |
pooch | 1.9.0 | prometheus-fastapi-instrumentator | 8.0.2 | prometheus_client | 0.21.1 |
prompt_toolkit | 3.0.52 | propcache | 0.3.1 | 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 |
pybase64 | 1.4.3 | pyccolo | 0.0.83 | pycountry | 26.2.16 |
pycparser | 2.23 | pydantic | 2.13.3 | pydantic-extra-types | 2.11.1 |
pydantic-settings | 2.14.2 | pydantic_core | 2.46.3 | pydot | 4.0.0 |
pyelftools | 0.33 | pyflakes | 3.2.0 | Pygments | 2.19.2 |
PyGObject | 3.48.2 | pyiceberg | 0.11.1 | PyJWT | 2.10.1 |
pynndescent | 0.6.0 | pynvml | 8.0.1 | 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-json-logger | 3.2.1 | python-multipart | 0.0.32 | pytokens | 0.2.0 |
pytorch-lightning | 2.5.4 | pytorch-ranger | 0.1.1 | pytz | 2025.2 |
PyYAML | 6.0.3 | pyzmq | 27.1.0 | quack-kernels | 0.5.0 |
ray | 2.56.0 | referencing | 0.37.0 | regex | 2025.10.22 |
requests | 2.32.5 | requests-oauthlib | 2.0.0 | requests-toolbelt | 1.0.0 |
rich | 14.2.0 | rich-toolkit | 0.20.1 | rignore | 0.7.6 |
rpds-py | 0.28.0 | s3transfer | 0.14.0 | safetensors | 0.8.0 |
scikit-learn | 1.7.2 | scipy | 1.16.3 | sentence-transformers | 5.5.1 |
sentencepiece | 0.2.1 | sentry-sdk | 2.64.0 | setproctitle | 1.3.7 |
setuptools | 80.9.0 | shap | 0.51.0 | shellingham | 1.5.4 |
six | 1.17.0 | slicer | 0.0.8 | smart_open | 8.0.0 |
smmap | 5.0.0 | sniffio | 1.3.0 | soundfile | 0.13.1 |
soxr | 1.1.0 | SQLAlchemy | 2.0.43 | sqlparse | 0.5.5 |
sse-starlette | 3.4.5 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
starlette | 1.3.1 | statsmodels | 0.14.5 | strictyaml | 1.7.3 |
supervisor | 4.3.0 | sympy | 1.14.0 | tabulate | 0.9.0 |
tenacity | 9.1.2 | tensorboardX | 2.6.5 | threadpoolctl | 3.5.0 |
tiktoken | 0.13.0 | tilelang | 0.1.9 | tokenize_rt | 6.2.0 |
tokenizers | 0.22.1 | tokenspeed-mla | 0.1.2 | tokenspeed-triton | 3.7.10.post20260531 |
tomli | 2.0.1 | torch | 2.11.0+cu130 | torch-optimizer | 0.3.0 |
torch_c_dlpack_ext | 0.1.5 | torchaudio | 2.11.0+cu130 | torchmetrics | 1.9.0 |
torchvision | 0.26.0+cu130 | tornado | 6.5.1 | tqdm | 4.67.1 |
traitlets | 5.14.3 | transformers | 5.8.1 | triton | 3.6.0 |
trl | 0.24.0 | typer | 0.26.8 | typing-inspect | 0.9.0 |
typing-inspection | 0.4.2 | typing_extensions | 4.15.0 | tzdata | 2026.2 |
ultralytics | 8.4.90 | ultralytics-thop | 2.0.20 | umap-learn | 0.5.12 |
unattended-upgrades | 0.1 | urllib3 | 2.5.0 | uuid_utils | 0.16.2 |
uvicorn | 0.48.0 | uvloop | 0.22.1 | virtualenv | 20.35.4 |
vllm | 0.24.0 | wadllib | 1.3.6 | watchfiles | 1.2.0 |
wcwidth | 0.2.13 | websockets | 15.0.1 | wheel | 0.45.1 |
whenever | 0.7.3 | widgetsnbextension | 4.0.14 | wrapt | 1.17.0 |
xgboost-cu13 | 3.2.0 | xgrammar | 0.2.3 | xxhash | 3.5.0 |
yarl | 1.22.0 | z3-solver | 4.15.4.0 | zipp | 3.23.0 |
zstandard | 0.25.0 |