![]() ![]() The introduction of pre-trained large language models (LLMs) such as GPT and BERT has revolutionized the usage of generative AI technology. With our 12 new AI integrations-including our NVIDIA DCGM Exporter integration-you can access out-of-the-box dashboards with visualizations and metrics tailored to each component of your stack, enabling you to ensure that your models effectively scale according to your business needs. Integrating machine-learning models into your applications and workflows often means leveraging a number of specialized technologies, including vector databases like Pinecone and Weaviate, development platforms like Vertex AI and SageMaker, and discrete GPUs from providers like CoreWeave. LLM-powered observability and your AI ecosystem Integration roundup: Monitoring your AI stackĪs AI development accelerates across industries, Datadog is at the forefront of helping you gain visibility into every layer of your AI-optimized tech stack, from infrastructure and data storage to models and service chains. In this post, we recap these new offerings-as well as all the other key announcements from DASH 2023-and help you get started using them to gain deeper visibility into your environment. We also expanded our developer-focused features by adding static code analysis and end-to-end mobile monitoring. We introduced new products that help you secure your cloud infrastructure, find vulnerabilities in your application code, and conduct historical security investigations. And Bits AI, our new DevOps copilot, helps speed up the detection and resolution of issues across your environment. With Datadog’s new AI integrations, you can easily monitor every layer of your AI stack. This year at DASH, we announced new products and features that enable your teams to get complete visibility into their AI ecosystem, utilize LLM for efficient troubleshooting, take full control of petabytes of observability data, optimize cloud costs, and more.
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