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A python-based machine learning framework, providing tensors, dynamic neural networks and strong GPU acceleration.
37m
500K+
7
Langfuse is an open-source LLM engineering platform for observability, prompt management, evaluations, and datasets.
39m
500K+
Background job processor for the Langfuse LLM engineering platform, handling evaluations, ingestion, batch exports, and data retention.
39m
100K+
LiteLLM is a universal LLM API gateway that provides OpenAI-compatible APIs for 100+ LLM providers including Bedrock, Azure, OpenAI, Anthropic, Vertex AI, and more.
39m
100K+
The Kubeflow Pipelines provides the UI of the Kubeflow Pipeline ecosystem.
39m
100K+
Downloads model artifacts from various storage backends (S3, GCS, Azure, etc.) before KServe model serving containers start.
39m
100K+
MLflow is an open-source platform for managing the machine learning lifecycle: experiment tracking, reproducible runs, model packaging, and deployment. This image provides the mlflow CLI and server runtime packaged as a hardened container for secure production deployments.
39m
100K+
LiteLLM Database is the database-enabled LiteLLM proxy image with Prisma support for persistent PostgreSQL-backed keys, budgets, spend tracking, and gateway configuration.
39m
100K+
NVIDIA device plugin for Kubernetes that exposes GPUs to the Kubernetes scheduler, provides GPU health monitoring, and supports MIG, MPS, time-slicing, and CDI.
40m
100K+
4
A Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks.
39m
100K+
The Kubeflow Pipelines API Server coordinates k8s workflows in the Kubeflow Pipeline ecosystem.
39m
100K+
KServe Agent is a component that manages model serving workloads in KServe.
40m
50K+
The routing component for KServe inference graphs, enabling complex model serving patterns with intelligent traffic routing.
39m
50K+
NVIDIA Data Center GPU Manager exporter for Prometheus. Exposes GPU telemetry (utilization, memory, temperature, power, profiling) over an HTTP /metrics endpoint via the DCGM library.
7h
50K+
The Kubeflow Pipelines Metadata Writer handles pipeline execution metadata in the Kubeflow Pipeline ecosystem.
39m
50K+
NVIDIA CUDA base image. The runtime variant ships the CUDA runtime libraries (cudart, cublas, cufft, curand, cusolver, cusparse, npp); the dev variant adds the nvcc compiler and development headers. Intended as a base image for GPU-accelerated workloads.
38m
50K+
A Model Context Protocol server that connects AI assistants to SmartBear testing and monitoring tools, including BugSnag, Reflect, Swagger, PactFlow, QMetry, QTM4J, Zephyr, and Collaborator.
37m
50K+
Run and serve large language models locally over an HTTP API (CPU inference).
38m
50K+
Enables local model node management and caching.
39m
50K+
Enables local model caching and management.
39m
50K+
A high-performance vector database and similarity search engine for building the next generation of AI applications.
37m
10K+
NVIDIA Federated Learning Application Runtime Environment for privacy-preserving distributed AI.
38m
10K+
A flexible, high-performance serving system for machine learning models designed for production environments
36m
10K+
MLflow is an open source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model registry, and deployment.
1h
10K+
The NVIDIA GPU Operator automates the management of the NVIDIA software components needed to provision GPUs in Kubernetes clusters. This image ships the operator controller, the nvidia-validator, the vectorAdd CUDA validation sample, and kubectl, together with the operand manifests the controller renders at runtime and the operator CRDs.
38m
10K+
3
A minimal init container image for JupyterHub that waits for images to be pre-pulled on Kubernetes nodes.
40m
10K+
NVIDIA GPU Operator component that orchestrates NVIDIA GPU driver upgrades and unloads kernel modules on Kubernetes nodes
40m
10K+
2
Model Context Protocol server for connecting AI assistants to the ScrapeGraph API for web scraping, extraction, search, crawling, and monitoring workflows.
37m
10K+
The NVIDIA Container Toolkit configures container runtimes to run GPU workloads. This image is the GPU Operator's container-toolkit operand: it ships nvidia-ctk-installer together with the pre-extracted toolkit and libnvidia-container payloads it installs onto cluster nodes.
38m
10K+
3
Valkey Bundle packages the Valkey data structure server together with the JSON, Bloom, Search, and LDAP modules for JSON documents, probabilistic data structures, vector/secondary indexing, and LDAP authentication.
7h
10K+
3