Guides

Field notes from serving a large ModelOpt NVFP4 model on Blackwell SM120 GPUs with vLLM, FlashInfer, FP8 KV cache, speculative decoding, and production-shaped benchmarks — including the target/drafter boundary that made the deployment stable and why the early peak did not hold under reproduction.

Claude Opus 4.8 improves on published benchmarks, adds effort controls, ships Dynamic Workflows, and keeps Opus 4.7 pricing — and is still not an obvious blanket upgrade. A practical guide to testing it against Opus 4.7, GPT-5.5, and Amazon Nova on AWS, with cost per successful task at the center.

Learn how AWS-first teams can design governed AI agent sandboxes with scoped IAM, MCP tool gateways, network controls, observability, approvals, and a safe pilot path.

Learn what the AWS MCP Server is, how it gives AI agents governed access to AWS through MCP, IAM, CloudWatch, CloudTrail, and sandboxed tools, and how to pilot it safely.

GPT-5.5, GPT-5.4, and Codex are available on Amazon Bedrock. See how to adopt OpenAI models with AWS governance, regional control, audit, cost, and rollout guardrails.

Infrastructure requirements for Claude Code on AWS: Amazon Bedrock, Claude Desktop Cowork on 3P, IAM, networking, model access, ANTHROPIC_BASE_URL, data egress controls, self-hosted models, guardrails, and enterprise rollout.

Managing or migrating to the cloud is a critical step for many companies, but lean teams often face unpredictable costs, weak governance, and difficulty scaling. With the right strategy, those barriers can become a foundation for growth instead of a brake on it.

Technology is at the center of modern business, but fast growth often leaves companies with complex, poorly documented IT environments. Before migrating to the cloud, adopting AI, or scaling digital operations, you need a clear assessment of where you stand.

For startups, every infrastructure decision can shape the difference between accelerated growth and expensive rework. AWS startup programs offer credits, funding, technical support, and market access that can help teams scale with more confidence.

Archived guide to AWS Summit Sao Paulo 2025, held on August 13 at the Sao Paulo Expo Center. For the current event page, use Elevata's latest AWS Summit Sao Paulo guide.

AWS gives teams a practical path to build GenAI applications with the right foundation for security, scalability, and responsible adoption, while incentive programs can reduce the cost of experimentation.

Amazon Q Developer Pro can help AWS engineering teams ship faster with more context, better code quality, and stronger governance across modern delivery workflows.

Checklist for secure cloud migration covering core risks, access controls, monitoring, compliance, and ongoing hardening. For an AWS-specific guide, see Elevata's secure cloud migration page.

Choosing whether to move to the cloud is a consequential decision. The cloud can improve flexibility, cost efficiency, and collaboration, but it also introduces risks that need to be weighed carefully.