DeepSpeed is an open-source library that optimizes the training and inference of large deep learning models by reducing memory usage and improving computational efficiency.
Provides an open-source AI framework and an enterprise platform for building, deploying, and governing retrieval-augmented generation (RAG) and agentic applications with full control over infrastructure and data.
A cloud-based data workspace where teams write Python, SQL, and R in collaborative notebooks, build dashboards, and deploy autonomous AI agents that query data and trigger actions.
DeepMind Gopher is a research project that developed large language models to study the capabilities and risks of scaling transformer-based AI systems.
Deephaven provides a query engine that processes real-time streaming data using live dataframes, enabling incremental updates and millisecond-latency analytics for data-intensive applications.
Deepgram provides real-time APIs for speech-to-text, text-to-speech, and autonomous voice agents, enabling developers and enterprises to build voice AI applications.
Deepchecks provides an open-source testing framework for continuously validating machine learning and large language model performance, data quality, and bias.
Debezium captures row-level changes from databases (inserts, updates, deletes) by reading transaction logs and streams them as events, typically into Apache Kafka.
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