IT distribution leader @TDSYNNEX opened its #TDSYNNEXInspire# conference today with the unveiling of FinOps Fusion, a new offering designed to help its channel partners manage the cost of AI consumption. @TDSYNNEX_NA

Let's geek out together at HashiConf at @IBM TechXchange! 🤓 This year's session topics include: 💼 Day 2 operations with Terraform and Vault 🌱 IT efficiency, resilience, and sustainability ✅ Quantum readiness 💰 FinOps and cloud cost discipline 🫆 Identity security and managing AI agents Head to our website to get more info on session content and get your tickets.

Still sitting through slide decks? 😵‍💫 Come learn something you'll actually use at HashiConf at @IBM TechXchange 😉 ✨ Join sessions on: 💸 FinOps and cutting cloud costs 🛠️ Day 2 operations with Terraform and Vault 🔐 Securing AI agents and machine identities ☁️ Running AI workloads across hybrid cloud environments Grab your ticket now and lock in early bird pricing:

Agent loops burn ~50x what chat does. Uber blew its annual AI coding budget by April. Cursor and Claude Code both face an explosion of costs. FinOps teams tracking AI spend went from 31% to 98% in a year. Here's the part nobody prices in: a huge share of that burn is your agent re-reading things it already knew. Every new session, the same repo context, the same conventions, re-fed through the window, costing you money again. Therefore Sibyl Labs built the memory plugin around one idea: pay to learn something once, then retrieve it cheaply as much as you want. File-based persistent memory, local-first, no vector DB. Knowledge gets written as a one-time cost; recall is targeted search, not context flooding. Works with Claude Code, Codex, Cursor, and any MCP runtime. No "cut your bill 70%". Anyone quoting you a percentage right now is guessing. The claim: stop paying to re-read what your agent already figured out. #2# on LongMemEval Oracle (95.6%). Try it:

Curious about what you'll hear at HashiConf at @IBM TechXchange conference 2026? We just released some of featured sessions and speakers on our website, like: • Bridging IT automation and FinOps to drive cloud cost discipline at scale • From deployed to governed: Day 2 operations with Terraform & Vault with SPH Media Pte Ltd. • Vault, SPIFFE, and the identity crisis of AI agents • AI agents all the way down: Enforcing and tracking agent identity and delegation Get more details about these sessions and start building your agenda now. Full agenda coming soon:

Infrastructure teams can deploy cloud resources in minutes, but understanding the financial impact often takes weeks. Discover how Terraform and Cloudability bridge that gap in this blog. You’ll learn: 💰 What the cost visibility gap really means 🩹 Common FinOps pain points 👀 How to bring cost visibility into the Terraform workflow 💸 The benefits of integrated cost governance 💪 Post-deployment optimization and cost management strategies Read now:

AI Spend and Consumption Management in 1Password SaaS Manager gives IT and Finance a real-time view of AI consumption and spend across vendors, helping teams understand what's driving costs before they become budget surprises. See it in action and learn more: #AI# #SaaSManagement# #FinOps# #ITLeadership# #tokenmaxxing# #AIROI# #AIGovernance# #AgenticWorkflows# #1Password#

Grow your AI skills with the new Microsoft Copilot 🚀 Did you hear the news? Microsoft is reimagining Copilot, bringing familiar tools together with new capabilities that help people and organizations build, customize, and scale AI across work. And we’ve got just the playlist for you. Explore the AI at Work playlist to learn when to use Chat, Cowork, Autopilot, and Code for different outcomes—and how these modes can work together to take an idea, question, or task through to completion. Plus, get up to speed on AI FinOps and prepare for what’s next with agents. Start the playlist today. 🔗

70 HashiCorp sessions. 35 HashiCorp hands-on labs. 105 total opportunities to learn more about Terraform, Vault, AI operations, hybrid cloud, identity security and more. 🥳 Attend sessions at HashiConf and IBM TechXchange like... 💸 FinOps and cloud cost discipline 🛠️ Day 2 operations with Terraform and Vault 🔐 Securing AI agents and machine identities ☁️ Running AI workloads across hybrid cloud environments 🛡️ Quantum readiness 🌳 IT efficiency and sustainability Get your ticket now:

Some more detail on the ROIC Intelligence App I built yesterday and mentioned on today's earnings call. I took the PDF that Brian Nowak at Morgan Stanley put together for Hyperscale ROIC this week and used Copilot code (coming in our new superapp) with a single prompt + skill (/drill-me) to create the plan, then used autopilot in auto to create the full app (with history, lookups, scenarios, what-ifs, etc). And /rubber-duck to test. And the best part is that all the artifacts are in my enterprise environment. My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric. And everything is under Agent 365 IT/Sec/FinOps control! So this is not about Tokenmaxxing or vibe coding. Every step of the way the rails are engineered to create value, making everything a long-term reusable asset, with governance/security, and cost controls. This is the full system to drive business value. Disclosures: This is all pulled from public sources, and for illustrative purposes only...not financial advice! :) Here is the app and architecture...