ZirconTech

Insights

Blog

Page 3 of 40.

GenAI Doesn’t Learn by Magic: What ‘Learning’ Means, How It Happens, and What It Costs
Engineering·· 18 min

GenAI Doesn’t Learn by Magic: What ‘Learning’ Means, How It Happens, and What It Costs

Your stakeholder asked a reasonable question: “Will the AI system learn from our users and improve over time?” You said yes, because that sounds right.…

AI and Automation Are Redefining Risk and Compliance: Is Latin America Ready?
Engineering·· 12 min

AI and Automation Are Redefining Risk and Compliance: Is Latin America Ready?

Consider a typical scenario: A compliance team processes 10,000 transactions in a month. They flag 847 for manual review. Analysts spend three weeks…

Edge AI with AWS: IoT Greengrass vs Lambda@Edge for Production Deployments
Engineering·· 14 min

Edge AI with AWS: IoT Greengrass vs Lambda@Edge for Production Deployments

Your AI model needs to run closer to users. Latency from round-tripping to us-east-1 kills the user experience. You investigate AWS edge options and find…

AWS AI Infrastructure: Inferentia2 vs Trainium vs GPU for Production Workloads
Engineering·· 11 min

AWS AI Infrastructure: Inferentia2 vs Trainium vs GPU for Production Workloads

Your AI model runs great on a GPU instance in development. You deploy to production. Then finance asks why you’re spending $15,000/month on compute when AWS…

The Real Cost of Running AI Models on AWS: SageMaker Inference Deep Dive
Engineering·· 12 min

The Real Cost of Running AI Models on AWS: SageMaker Inference Deep Dive

Your AI model works perfectly in development. You deploy it to production. Three weeks later, your AWS bill arrives and SageMaker costs are 4x what you…

Deploying AI on AWS: SageMaker vs Bedrock vs Lambda – Which One When
Engineering·· 9 min

Deploying AI on AWS: SageMaker vs Bedrock vs Lambda – Which One When

Here’s a fast rule-of-thumb to guide your initial choice:

AWS Lambda Cold Start Optimization in 2025: What Actually Works
Engineering·· 8 min

AWS Lambda Cold Start Optimization in 2025: What Actually Works

Three approaches work, each with different tradeoffs.

Unlocking the Future of Real Estate Tokenization: RedSwan and ZirconTech at Stellar Meridian Rio 2025
Engineering·· 5 min

Unlocking the Future of Real Estate Tokenization: RedSwan and ZirconTech at Stellar Meridian Rio 2025

RedSwan Leads the Way with Real Estate Tokenization and ZirconTech integrates Stellar on its Blockchain Accelerators

Nvidia’s $100 Billion OpenAI Bet: What 10 Gigawatts of AI Computing Actually Means
Engineering·· 5 min

Nvidia’s $100 Billion OpenAI Bet: What 10 Gigawatts of AI Computing Actually Means

A data center consuming the power of ten nuclear reactors. That’s the scale of Nvidia’s $100 billion commitment to OpenAI, announced this month. The…

Oracle’s Stargate Partnership: Confirmed Details and Market Implications
Engineering·· 5 min

Oracle’s Stargate Partnership: Confirmed Details and Market Implications

OpenAI has officially announced its partnership with Oracle to develop an additional 4.5 gigawatts of Stargate AI data center capacity in the United States.…

Apple’s iPhone 17 and iOS 26: Separating Confirmed Features from Market Speculation
Engineering·· 6 min

Apple’s iPhone 17 and iOS 26: Separating Confirmed Features from Market Speculation

Apple’s September 9th announcement of the iPhone 17 lineup introduced several confirmed features alongside significant speculation about technical…

Meta’s First Consumer AR Glasses: The Reality Behind the Connect Demo
Engineering·· 6 min

Meta’s First Consumer AR Glasses: The Reality Behind the Connect Demo

Meta’s announcement of the Ray-Ban Display glasses with Neural Band control marks a pivotal moment in consumer augmented reality. The $799 package,…