Tech

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.

AWS MCP Server general availability guide for secure AI agent access to AWS through MCP, IAM, CloudWatch, CloudTrail, sandboxed tools, and safe pilots.

Amazon invested $5 billion in Anthropic this month, with the option for $20 billion more. For AWS customers, the operationally relevant parts are Anthropic's Trainium infrastructure commitment and Claude Platform launching natively on AWS.

AWS added Claude Opus 4.7 to Amazon Bedrock on April 16, 2026. This guide now serves as migration context: compare 4.7 against Opus 4.8, GPT-5.5, and your production evals before promoting any default.

NVIDIA GTC 2026 marked a decisive shift from training to inference. The Vera Rubin architecture promises 10x efficiency gains, the NemoClaw platform brings autonomous agent orchestration, and AWS was named the primary scale partner. Here is what it means for teams running AI workloads on AWS.

By Paulo Frugis, CTO at Elevata The Productivity Paradox and the Next Evolution of Enterprise AI For the last two years, the corporate world has been locked in a “Productivity Paradox.” We have access to the most powerful Large Language Models (LLMs) in history, yet aggregate productivity has not skyrocketed as predicted. The reason? A […]

The narrative of the last decade has been dominated by a singular, overwhelming directive: Move to the Cloud. For years, C-Suite executives, CTOs, and IT Directors have been sold a vision of the future that promised three things: infinite scalability, unprecedented agility, and—most enticingly—significant cost reductions. The pitch was simple. By ditching the heavy capital […]

By Paulo Frugis – Elevata’s CTO We are witnessing a quiet but violent shift in the software landscape. For the past two years, the industry has been in the “Honeymoon Phase” of Generative AI, obsessed with Chatbots, Copilots, and RAG (Retrieval-Augmented Generation) systems that summarize PDFs. That phase is ending. The market is no longer […]

The Amazon Q Business and Zoom AI Companion integration puts trusted company knowledge inside live meetings. It reduces context switching, respects existing permissions, and helps teams make faster, better decisions.

Generative AI becomes a real competitive advantage when it is grounded in proprietary data, not generic public models. This article explains where foundation models fall short, how fine-tuning and RAG create differentiation, and why a modern data strategy matters as much as the model itself.

Generative AI is moving from proof of concept to operating model. This article outlines the shift to business value, the data foundation required, the main adaptation strategies, and a practical two-phase rollout for internal AI assistants.

AI agents are autonomous systems that interpret context, gather data, and act toward a goal. This overview covers their core principles, architecture, common types, business value, adoption risks, and how to apply them responsibly.

Artificial intelligence has become one of the most transformative technologies in business, driven by better infrastructure, broader data availability, and a growing need for efficiency, automation, and innovation.

As corporate environments become more distributed and remote work becomes standard, traditional perimeter-based security models are no longer enough. Zero Trust is emerging as a more resilient way to protect users, devices, and data.