Info-Tech Publishes Agentic AI Stack Blueprint
Info-Tech Research Group announced in a press release a new blueprint for enterprise agentic AI technology stacks as systems move beyond chatbot pilots into workflows that access sensitive data and make operational decisions.
The firm said stacks built during the pilot era can expose organizations to integration brittleness, runaway costs, stale or untrusted data, and governance gaps when deployed more broadly.
The blueprint, Discover the Enterprise Agentic AI Technology Stack, maps six layers of an agentic AI stack. It is intended to help IT leaders, enterprise architects, and AI product owners assess architecture gaps and prepare for vendor evaluation.
The research also lists six vendor selection criteria: functional use cases, operability and production reliability, deployment compatibility and flexibility, governance, security, and compliance, integration and ecosystem fit, and implementation and operational costs.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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