Category: FAANG

As AI inference grows into a significant share of cloud spend, understanding who and what are driving costs is essential for chargebacks, cost optimization, and financial planning. Today, we’re announcing granular cost attribution for Amazon Bedrock inference. Amazon Bedrock now automatically attributes inference costs to the IAM principal that made the call. An IAM principal …

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Text-to-SQL generation remains a persistent challenge in enterprise AI applications, particularly when working with custom SQL dialects or domain-specific database schemas. While foundation models (FMs) demonstrate strong performance on standard SQL, achieving production-grade accuracy for specialized dialects requires fine-tuning. However, fine-tuning introduces an operational trade-off: hosting custom models on persistent infrastructure incurs continuous costs, even during …

Read more “Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference”

Editor’s note: Today we hear from Perry Nightingale, SVP of Creative AI at WPP about the workflow that cuts training time for humanoid robots from days to minutes — plus access to the open-source code to do it yourself. Robots are pushing the boundaries of what content creators and directors can capture. These technologies have …

Read more “How WPP accelerates humanoid robot training 10x with G4 VMs”

About this Series Frontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, …

Read more “Frontend Engineering at Palantir: Polar Scaled Tiles in Zodiac”

Amazon Quick Sight, the business intelligence (BI) capability of Amazon Quick, is a unified BI service. It provides modern interactive dashboards, natural language querying, pixel-perfect reports, machine learning (ML) insights, and embedded analytics at scale. Amazon Quick brings together AI agents for business insights, research, and automation in one integrated experience, helping you work smarter …

Read more “Create rich, custom tooltips in Amazon Quick Sight”

Generative AI is reshaping how organizations approach productivity, customer experiences, and operational capabilities. Across industries, teams are experimenting with generative AI to unlock new ways of working. Many of these efforts produce compelling proofs of concept (POC) that demonstrate technical feasibility. The real challenge begins after those early wins. Although POCs frequently demonstrate technical feasibility, …

Read more “Navigating the generative AI journey: The Path-to-Value framework from AWS”

Building effective reward functions can help you customize Amazon Nova models to your specific needs, with AWS Lambda providing the scalable, cost-effective foundation. Lambda’s serverless architecture lets you focus on defining quality criteria while it handles the computational infrastructure. Amazon Nova offers multiple customization approaches, with Reinforcement fine-tuning (RFT) standing out for its ability to teach …

Read more “How to build effective reward functions with AWS Lambda for Amazon Nova model customization”

At Google Cloud, we often see customers asking themselves: “How can we manage our generative AI costs effectively without sacrificing the performance and availability our applications demand?”  This is the million-dollar question — or, perhaps more accurately, the “tokens-per-minute” question. The key isn’t just about choosing the cheapest option, but about finding the right recipe …

Read more “How to find the sweet spot between cost and performance”