Deploying quantized models on Amazon SageMaker AI with Unsloth
In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The…
In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The…
Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running enterprise programs. Each…
In this post, we show how to implement DPD with vLLM on Amazon SageMaker HyperPod using the HyperPod Inference Operator.
Ambulatory care, the outpatient clinics and physician practices where most patients...
This paper was accepted at the AI4TCI (Workshop on AI for Secure and Trustworthy Critical Infrastructure Systems) Workshop at the International Conference on Availability, Reliability and…
How Databricks hackathons workWe run these hackathons for a simple reason: the fastest...
Introducing OpenAI's latest frontier model series, the Asia Pacific Data Zone, and product agent capabilities, all generally available in Microsoft Foundry. The post Frontier models and…
In this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches.
In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging…
A new Rust proxy called Turnstile sits between the model backend and the agent harness to capture information lost in mere text transcripts.
Multimodal large language models (MLLMs) have recently shown strong performance in visual understanding, yet they often lack temporal awareness, particularly in egocentric settings where reasoning depends…
Long-context handling remains a core challenge for language models: even with extended context windows, models often fail to reliably extract, reason over, and use the information…
On-policy distillation offers dense, per-token supervision for training reasoning models; however, it remains unclear under which conditions this signal is beneficial and under which it is…
Today, we're announcing the Claude apps gateway for AWS, a self-hosted control plane that gives organizations a single point of control over access, cost, and policy…
Azure Synapse has served as a reliable foundation for SQL analytics at scale, and...
In this post, we explore how Graph-based Retrieval Augmented Generation (GraphRAG) is transforming scientific research by combining graph databases with generative AI. With this approach, you…
In this post, we show how organizations in the public sector can automate their email management using a generative AI solution powered by Amazon Bedrock.
In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy…
At Databricks, the way we build software is changing quickly as we aggressively adopt...
Cloud resiliency is about ensuring systems can adapt, recover, and keep functioning within real-world constraints. The post Built to bounce back: How Azure resiliency evolved appeared…
This post shows you two architecture patterns that address this problem. Both use an internet-facing ALB with AWS WAF and route traffic through a VPC Interface…
In this post, we show how you can use Jamf’s AI Governance with Amazon Bedrock to configure, deploy, and validate managed settings for AI applications across…
Most enterprise analytics evaluations are really just dashboard comparisons. That's...
Imagine being unable to tell your doctor whether you're in pain or running a fever...