Fetch Consolidates AI Tools and Saves 30% Development Time with Hugging Face on AWS

Hugging Face and AWS partner to make AI more accessible

Fetch Cuts ML Processing Latency by 50% Using Amazon SageMaker & Hugging Face

Build and Run Your Own AI Agent in the Cloud

Build and deploy an agent on AWS with Strands and AgentCore The post Build and Run Your Own AI Agent in the Cloud appeared first on Towards Data Science .

AWS and OpenAI announce multi-year strategic partnership

OpenAI and AWS have entered a multi-year, $38 billion partnership to scale advanced AI workloads. AWS will provide world-class infrastructure and compute capacity to power OpenAI’s next generation of models.

Shipping huggingface_hub every week with AI, open tools, and a human in the loop

Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot

Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders

Scaling AI-based Data Processing with Hugging Face + Dask

Mistral Batch API

Lower cost API for AI builders.

Deploy Hugging Face models easily with Amazon SageMaker

Deploy models on AWS Inferentia2 from Hugging Face

Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock

Stateful Runtime for Agents in Amazon Bedrock brings persistent orchestration, memory, and secure execution to multi-step AI workflows powered by OpenAI.