Learn all about scalable, cloud-native architectures with microservices and serverless technologies, boosting agility, performance, and cost-efficiency.
At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.
Data fetching without filters or limits is a costly, hidden bug in the backend. API parameters must flow into SQL queries, not filter after full data transfer.
Create a zero-cost AI application quickly using Ollama and Java with Spring AI — with no extra costs and full compatibility with other LLMs like OpenAI.
Build a 3-agent research analysis swarm where you can swap models, tweak prompts, and compare orchestrator performance without duplicating configuration.
Explore how Task works, the differences between Task and Task.detached, task priorities — a complete guide to Swift’s modern approach to asynchronous programming.
Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.
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