Findings
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[1] 2026-09-29 AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect
Parallel work, model-family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT…Parallel work, model-family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT Model Connect is an open source collection of AI model reference implementations in C++, built on top of NVIDIA TensorRT. It…
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[2] 2026-09-29 Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3
Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability…Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability into a maintainable system that combines ingestion, stream processing, event detection, retrieval, summarization,…
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[3] 2026-09-29 Your data, your storage, your rules: a 2026 guide to storing Unity Catalog managed tables
Unity catalog managed tables allow you to control the placement of your data when…
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[4] 2026-09-29 Using AI to chart a course for our post-quantum migration
As laboratories around the world race to build out a cryptographically relevant quantum computer, we at Cloudflare are racing towards a 2029 target deadline for full post-quantum readiness. While we’ve already transitioned many of our products to post-quantum encryption, we still have… Among other things, the scan looks for the use of cryptography like key agreement, signatures, asymmetric encryption, PKI, tokens, credentials, hardware security module integrations, and more. This discovery stage produces a set of "raw observations."Each raw observation feeds a run of… When any scan hits a rate limit, the cooldown is shared and all scans back off together, so concurrent scans share the available capacity instead of competing for it.Prerequisites and hard casesLet’s now get into our third goal: surfacing prerequisites… Post-quantum encryption is provided at no additional cost and without requiring you to upgrade every origin server or private application on your enterprise network. This gives you a compensating control while you work through discovering and understanding the use of cryptography inside…
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[5] 2026-09-29 We tested our own WAF with frontier AI models. Here’s what we found
“Is your WAF ready for frontier AI models?” We keep hearing this question from our customers, so we decided to find out.When it comes to exploiting applications, what LLMs are really good at is iterating and mutating attack payloads faster… A WAF can help stop the malicious request before it reaches the application, but it is only one layer of protection.In this SSRF scenario, the tester sent the same cloud metadata address in different forms (such as integer, octal, and… To maximize the number of rules deployed in front of your application, we recommend running Managed Rules in log first, review matching requests in Security Events, and confirm legitimate traffic is unaffected before moving a rule to Block. Alternatively, customers…
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[6] 2026-09-28 How Databricks rolls out frontier models to 12,000 employees on Day 1
Providing our employees access to frontier AI capabilities is a top priority at Databricks, and consequently…
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[7] 2026-09-28 Lakebase Search: State-of-the-art full text and vector search for Postgres
Traditional OLTP systems weren't built for the search demands of AI agents. They…
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[8] 2026-09-28 Enhancing Microsoft Azure Virtual Machine lifecycle
Azure continuously advances through new infrastructure generations, platform capabilities, services, and innovations that lead the industry in performance, security, reliability, and efficiency. Our Virtual Machine (VM) Lifecycle policy guides how we manage these transitions, giving Azure customers transparency, predictability, and… Microsoft is committed to helping you modernize your workload portfolio with the greatest possible speed, confidence, and simplicity. Azure Advisor and Azure Service Health give you clear insight into your subscriptions and resources—helping you discover upcoming VM retirements, identify affected…
Where Kimbodo Comes In
Kimbodo builds and operates this in production for businesses — see our AI Infrastructure & MLOps practice, or Estimate My Infrastructure.
Sources
- [1] AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect
- [2] Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3
- [3] Your data, your storage, your rules: a 2026 guide to storing Unity Catalog managed tables
- [4] Using AI to chart a course for our post-quantum migration
- [5] We tested our own WAF with frontier AI models. Here’s what we found
- [6] How Databricks rolls out frontier models to 12,000 employees on Day 1
- [7] Lakebase Search: State-of-the-art full text and vector search for Postgres
- [8] Enhancing Microsoft Azure Virtual Machine lifecycle