AI Tools - MLOps & Infrastructure

Version control for data and machine learning projects.

Open-source feature store for machine learning.

Hub for sharing and deploying machine learning models, datasets and demos.

Open-source embedding database for AI apps.

Standard model inference platform on Kubernetes.

Experiment management and LLM evaluation platform.

AI compute and inference platform on wafer-scale chips.

Platform for fine-tuning LLMs from production data.

Distributed computing framework for scaling AI workloads.

GPU cloud and workstations for AI training and inference.

C++ library for running LLMs on consumer hardware.

Intel's toolkit for optimizing AI inference.

Open-source MLOps platform for experiment tracking and orchestration.

Data orchestration platform for data and ML assets.

Data and evaluation platform for AI model development.

High-throughput open-source LLM inference engine.

Faster, memory-efficient LLM fine-tuning.

Specialized GPU cloud provider for AI workloads.

Computer vision platform for labeling, training and deploying models.

Workflow orchestration platform for data and ML pipelines.

Git-like version control for data lakes.

Data-centric AI platform for programmatic labeling.

Managed vector database for AI applications.

ML and LLM observability and evaluation platform.

Desktop app for running local language models.

Framework and platform for serving AI models.

AI observability and model monitoring platform.

AI cloud infrastructure provider.

Platform for developing, training and deploying AI models.

Google Cloud unified ML and generative AI platform.

Workflow orchestration for data and ML pipelines.

Open-source tools for ML and LLM monitoring.

Open-source MLOps framework for portable ML pipelines.

Open-source vector search engine.

Cloud GPU platform for machine learning.

Open-source tool for fine-tuning LLMs.

Cross-platform engine for running ML models.

AI-focused cloud platform with GPU infrastructure.

Open-source vector database for AI search.

GPU cloud for training and deploying AI models.

AI observability and data monitoring platform.

Feature store and ML platform.

Data labeling and AI data platform.

AI platform and inference cloud on custom chips.

Hugging Face's toolkit for serving LLMs.

Open-source machine learning toolkit for Kubernetes.

Marketplace for renting GPU compute.

Framework for building and managing real-life data science projects.

Managed Milvus vector database service.

AWS managed service for building, training and deploying ML models.

Microsoft cloud service for building and deploying ML models.

Open-source data labeling tool.

NVIDIA library for optimizing LLM inference.

NVIDIA's open-source inference serving software.