Category: FAANG

As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows, which is a collection of curated AWS Systems Manager self-service automation runbooks. These …

Read more “Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows”

The roots of many of NVIDIA’s landmark innovations — the foundational technology that powers AI, accelerated computing, real-time ray tracing and seamlessly connected data centers — can be found in the company’s research organization, a global team of around 400 experts in fields including computer architecture, generative AI, graphics and robotics. Established in 2006 and …

Read more “Innovation to Impact: How NVIDIA Research Fuels Transformative Work in AI, Graphics and Beyond”

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel, and Outlook, as the backbone of their daily workflows. In this …

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Software development teams are under constant pressure to deliver at an ever-increasing pace. As sponsors of the DORA research, we recently took a look at the adoption and impact of artificial intelligence on the software development lifecycle. The research shows that more than 75% of developers are relying on AI in their daily responsibilities. With …

Read more “A framework for adopting Gemini Code Assist and measuring its impact”

This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of generative AI, scalable and efficient model training frameworks are essential. The NVIDIA NeMo Framework provides a robust, end-to-end solution for developing, customizing, and deploying large-scale AI models, while Amazon SageMaker HyperPod delivers …

Read more “Running NVIDIA NeMo 2.0 Framework on Amazon SageMaker HyperPod”

The quest to develop new medical treatments has historically been a slow, arduous process, screening billions of molecular compounds across decade-long development cycles. The vast majority of therapeutic candidates do not even make it out of clinical trials.  Now, AI is poised to dramatically accelerate this timeline.  As part of our wide-ranging, cross-industry collaboration, NVIDIA …

Read more “Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE”

Palantir’s Response to the White House Office of Science and Technology Policy (OSTP) on Developing an AI Action Plan The United States must act decisively to maintain its AI leadership position At Palantir, we see our work as a duty and privilege: to support the United States of America, its core national interests, and the civilization …

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Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes …

Read more “Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights”