Category: Launch

The Internet has a plethora of moving parts: routers, switches, hubs, terrestrial and submarine cables, and connectors on the hardware side, and complex protocol stacks and configurations on the software side. When something goes wrong that slows or disrupts the Internet in a way that affects your customers, you want to be able to localize […]

We are living in the generative artificial intelligence (AI) era; a time of rapid innovation. When Anthropic announced its Claude 3 foundation models (FMs) on March 4, we made Claude 3 Sonnet, a model balanced between skills and speed, available on Amazon Bedrock the same day. On March 13, we launched the Claude 3 Haiku […]

The PartyRock Generative AI Hackathon wrapped up earlier this month. Entrants were asked to use PartyRock to build a functional app based on one of four challenge categories, with the option to remix an existing app as well. The hackathon attracted 7,650 registrants who submitted over 1,200 projects, and published over 250 project blog posts […]

Update 4/3/2024: We have updated this post to add information about the new Paris Region availability for Amazon Bedrock, and provided a new resource link for guidance on inference requests. Last month, we announced the availability of two high-performing Mistral AI models, Mistral 7B and Mixtral 8x7B on Amazon Bedrock. Mistral 7B, as the first […]

A new fully managed service enables creative teams to easily set up a render farm in minutes, scale to run more projects in parallel, and only pay for the resources they use.

Amazon GuardDuty is a machine learning (ML)-based security monitoring and intelligent threat detection service that analyzes and processes various AWS data sources, continuously monitors your AWS accounts and workloads for malicious activity, and delivers detailed security findings for visibility and remediation. I love the feature of GuardDuty Runtime Monitoring that analyzes operating system (OS)-level, network, […]

Industries like automotive, robotics, and finance are increasingly implementing computational workloads like simulations, machine learning (ML) model training, and big data analytics to improve their products. For example, automakers rely on simulations to test autonomous driving features, robotics companies train ML algorithms to enhance robot perception capabilities, and financial firms run in-depth analyses to better […]

Starting today, you can use InfluxDB as a database engine in Amazon Timestream. This support makes it easy for you to run near real-time time-series applications using InfluxDB and open source APIs, including open source Telegraf agents that collect time-series observations. Now you have two database engines to choose in Timestream: Timestream for LiveAnalytics and […]