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Curated links from external sources — not 360Softy original articles.

ExternalAI
NVIDIA Technical Blog

How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra

Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as... Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible on available GPU infrastructure while preserving the interactivity that keeps applications responsive. That tradeoff matters even more for agentic AI workloads, where prompts can be

NVIDIA Technical BlogRead original
ExternalSoftware Engineering
GitHub Changelog

MAI-Code-1-Flash deprecated

We have deprecated MAI-Code-1-Flash across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions) today, September 10, 2026. Model Deprecation date Suggested alternative… The post MAI-Code-1-Flash deprecated appeared first on The GitHub Blog.

GitHub ChangelogRead original
ExternalCybersecurity
SecurityWeek

Cybersecurity M&A Roundup: 33 Deals Announced in August 2026

Significant cybersecurity M&A deals announced by Brinqa, Cribl, Echo, Fortinet, Kiteworks, Palo Alto Networks, and Visa. The post Cybersecurity M&A Roundup: 33 Deals Announced in August 2026 appeared first on SecurityWeek.

Funding/M&AM&A TrackerAcquisitions
SecurityWeekRead original
ExternalSoftware Architecture
AWS Architecture Blog

Building resilient real-time streaming workers with Amazon DynamoDB leases

Real-time streaming workers that hold hundreds of persistent WebSocket connections lose data when a worker fails. Learn how to build a WebSocket fleet management system on Amazon ECS and AWS Fargate that uses Amazon DynamoDB conditional writes as a distributed lease to track ownership, fail over automatically, and deploy with low downtime.

Advanced (300)Amazon DynamoDBTechnical How-to
AWS Architecture BlogRead original
ExternalAI
AWS Machine Learning Blog

Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate

Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 — cutting development from days to hours.

Advanced (300)Amazon Quick SuiteAmazon Simple Storage Service (S3)
AWS Machine Learning BlogRead original

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