faang - Robotic Content

From silicon to softmax: Inside the Ironwood AI stack

by AI Generated Robotic ContentFAANG November 7, 2025Comments are Disabled

As machine learning models continue to scale, a specialized, co-designed hardware and software stack is no longer optional, it’s critical. Ironwood, our latest generation Tensor Processing Unit (TPU), is the cutting-edge hardware behind advanced models like Gemini and Nano Banana, from massive-scale training to high-throughput, low-latency inference. This blog details the core components of Google’s …

How Amazon Search increased ML training twofold using AWS Batch for Amazon SageMaker Training jobs

by AI Generated Robotic ContentFAANG November 6, 2025Comments are Disabled

In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation. Machine …

Build software sustainably in the AI era

by AI Generated Robotic ContentFAANG November 6, 2025Comments are Disabled

Artificial intelligence is reshaping our world – accelerating discovery, optimising systems, and unlocking new possibilities across every sector. But with its vast potential comes a shared responsibility. AI can be a powerful ally for transforming businesses and reducing cost. It can help organizations minimize carbon emissions, industries manage energy use, and scientists model complex climate …

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

by AI Generated Robotic ContentFAANG November 5, 2025Comments are Disabled

We introduce Representation Tokenizer (RepTok), a generative modeling framework that represents an image using a single continuous latent token obtained from self-supervised vision transformers. Building on a pre-trained SSL encoder, we fine-tune only the semantic token embedding and pair it with a generative decoder trained jointly using a standard flow matching objective. This adaptation enriches …

Supercharging the ML and AI Development Experience at Netflix

by AI Generated Robotic ContentFAANG November 5, 2025Comments are Disabled

Supercharging the ML and AI Development Experience at Netflix with Metaflow Shashank Srikanth, Romain Cledat Metaflow — a framework we started and open-sourced in 2019 — now powers a wide range of ML and AI systems across Netflix and at many other companies. It is well loved by users for helping them take their ML/AI workflows from prototype to production, allowing …

Iterate faster with Amazon Bedrock AgentCore Runtime direct code deployment

by AI Generated Robotic ContentFAANG November 5, 2025Comments are Disabled

Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents securely at scale. Amazon Bedrock AgentCore Runtime is a fully managed service of Bedrock AgentCore, which provides low latency serverless environments to deploy agents and tools. It provides session isolation, supports multiple agent frameworks including popular open-source frameworks, and handles multimodal …

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

by AI Generated Robotic ContentFAANG November 4, 2025Comments are Disabled

AI policy sets boundaries on acceptable behavior for AI models, but this is challenging in the context of large language models (LLMs): how do you ensure coverage over a vast behavior space? We introduce policy maps, an approach to AI policy design inspired by the practice of physical mapmaking. Instead of aiming for full coverage, …

How Switchboard, MD automates real-time call transcription in clinical contact centers with Amazon Nova Sonic

by AI Generated Robotic ContentFAANG November 4, 2025Comments are Disabled

In high-volume healthcare contact centers, every patient conversation carries both clinical and operational significance, making accurate real-time transcription necessary for automated workflows. Accurate, instant transcription enables intelligent automation without sacrificing clarity or care, so that teams can automate electronic medical record (EMR) record matching, streamline workflows, and eliminate manual data entry. By removing routine process …

How scientists can leverage AI agents using Gemini Enterprise, Gemini Code Assist, and Gemini CLI

by AI Generated Robotic ContentFAANG November 4, 2025Comments are Disabled

Scientific inquiry has always been a journey of curiosity, meticulous effort, and groundbreaking discoveries. Today, that journey is being redefined, fueled by the incredible capabilities of AI. It’s moving beyond simply processing data to actively participating in every stage of discovery, and Google Cloud is at the forefront of this transformation, building the tools and …

Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1

by AI Generated Robotic ContentFAANG November 1, 2025Comments are Disabled

Enterprises in regulated industries often need mathematical certainty that every AI response complies with established policies and domain knowledge. Regulated industries can’t use traditional quality assurance methods that test only a statistical sample of AI outputs and make probabilistic assertions about compliance. When we launched Automated Reasoning checks in Amazon Bedrock Guardrails in preview at …