AI Infrastructure, GPUs & Deployment — September 22, 2026

Findings

1. [1] 2026-09-22 Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock

   GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and efficiency to each workload. The value of AI at scale depends on two dimensions: what a model can do and… For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. Interested in how Amazon Bedrock can support your team? Connect with us to start the conversation. About the authors Tanvi Girinath Tanvi is a Product Marketing Manager for Amazon Bedrock at Amazon Web Services (AWS), where she helps customers adopt and scale AI applications and agents with Amazon Bedrock. Chris Dickens Chris is a Member of…

2. [2] 2026-09-22 Claude Opus 5.5 is now available on AWS

   Today, we’re excited to announce the availability of Claude Opus 5.5 on Amazon Bedrock and Claude Platform on AWS, the first of the Claude 5.5 model family. Claude Opus 5.5 is Anthropic’s most capable Opus model suitable for agentic coding,… # Invoke Claude Opus 5.5 response = client.messages.create( model="global.anthropic.claude-opus-5-5", max_tokens=1024, messages=[{"role": "user", "content": "Can you explain the features of Amazon Bedrock?"}], ) print(response) You can explore the Getting Started notebook for more examples. You can monitor usage, performance, and costs…

3. [3] 2026-09-22 Enabling Private High-Performance Production AI Inference with NVIDIA Confidential Computing

   As large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise, and regulated…As large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise, and regulated settings, data must be processed inside a trusted environment. NVIDIA Confidential Computing (CC) provides a pathway for running these workloads securely using memory-encrypted…

4. [4] 2026-09-22 Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore

   General-purpose agents handle a broad range of tasks, but you still need them to follow the procedures that run your business: compliance checks, document-processing workflows, escalation policies, engineering conventions. Encoding all of that in one system prompt or in application… Because judge-based evaluators return per-invoked-skill results, multi-skill runs remain diagnosable: you can identify which selection or instruction-following result lowered the aggregate score. If no skill is invoked, the judge-based evaluators don’t produce a score. Pair them with SkillInvoked when a… The placeholders you reference also decide when the evaluator runs. A template containing {invoked_skill} runs only on skill-invocation spans, and one containing {skill_content} additionally requires the loaded body. The following commands target the separate skill-enabled runtime. Substitute the runtime name… Acknowledgements Thank you to Ritvika Pillai, Vincent Chen, Qiaoxuan Xue, and Shoaib Javed for the AgentCore Evaluations implementation, to Po-Shin Chen for the Strands Evals review, to Anwesan Pal for early discussions on skill evaluation, to Ben Coombs for product…

5. [5] 2026-09-22 Topology-Aware Workload Scheduling with NVIDIA Topograph

   AI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization. Poor workload placement…AI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization. Poor workload placement fragments topology domains and forces traffic across shared links, reducing throughput, raising job costs, and leaving GPUs…

6. [6] 2026-09-22 The Genie One MCP is now Generally Available

   AI coworkers and coding agents are spreading fast across organizations, and each…

7. [7] 2026-09-22 Genie One MCP: Give any AI Agent the Right Business Context

   Business leaders often have access to plenty of data, but still can’t get a reliable…

8. [8] 2026-09-22 How Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCore

   Reactiv offers a mobile commerce product that helps Shopify merchants launch and manage native mobile apps, where shoppers convert at 2–4 times the rate of web visitors. For these merchants, a stale homepage or a missed promotional window costs real… The following table summarizes the services in the solution: Service Role Amazon Bedrock AgentCore Managed agent runtime, persistent memory, MCP hosting, AG-UI support, multi-tenant isolation Amazon Bedrock Foundation model access, guardrails Amazon EventBridge Cron scheduling for merchant-defined update cadences AWS… What’s next With the interactive and scheduled agents unified on a single stack, Reactiv is extending the authoring surface available to merchants. The through-line: merchants can customize their mobile apps through natural language, in progressively deeper ways. The first step…

9. [9] 2026-09-22 Right-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AI

   Concurrency sweeps help you right-size a generative AI endpoint by finding the instance type and serving configuration that maximizes price-performance while holding latency within acceptable bounds. Without a systematic approach, right-sizing means deploying, load-testing manually, adjusting, and repeating until the… The choice of 1,024 input tokens and 256 output tokens is representative of Retrieval Augmented Generation (RAG) or summarization workloads. If your application uses shorter prompts and longer completions (such as code generation), adjust these values accordingly. Streaming is enabled… In this case, we observe that when putting SLAs in both the end-to-end latency and time to first token, the maximum level of concurrency supported is 80. With the benchmarking complete, let’s clean up the resources we created during this…

10. [10] 2026-09-22 How Trane gets building insights 60x faster with Amazon Bedrock AgentCore

    Trane Technologies manages millions of connected heating, ventilation, and air conditioning (HVAC) assets worldwide, but getting a single operational answer could mean cross-referencing multiple dashboards and drilling through menus for 20 minutes or more. For organizations operating at this scale,… Resources Assistant – Retrieves and summarizes reference material. For example, a user might ask: “Who do I contact, what manual should I follow, or what documentation can I share with the customer?” Knowledge Assistant – Synthesizes technical answers about how… AgentCore runtime: Trane uses AgentCore runtime, a capability of Amazon Bedrock AgentCore, to isolate each user session in a dedicated microVM with its own CPU, memory, and filesystem. AgentCore runtime terminates and sanitizes each microVM on session completion. The team… Production controls and responsible AI Deploying an AI agent that returns diagnostic recommendations from live operational data requires controls against misuse and out-of-scope responses. The team configured Amazon Bedrock Guardrails with content filters to block harmful or inappropriate outputs and… Senthil Chinnaiyan Senthil, Director of Engineering – Digital, PGT (Product Growth Team) and AWS Solutions Architect at Trane Technologies, leads a high-performing engineering organization building highly scalable, cloud-native HVAC solutions that process billions of data points daily. With 29 years…

11. [11] 2026-09-22 How Tata Elxsi detects industrial safety risks in seconds on AWS

    Detecting industrial safety risks in seconds, not minutes, is what keeps workers safe on an active plant floor. This is what Tata Elxsi set out to deliver by building IRIS, a real-time industrial safety platform on AWS. In this post,… Edge acquisition and processing: Filtering at the source The workflow begins at the edge. IRIS deploys a dedicated edge-compute tier using AWS IoT Greengrass on industrial-grade, GPU-equipped edge servers, for example NVIDIA Jetson AGX Orin or equivalent. Each server is… Critical — Alert within 5 seconds, escalate if unacknowledged within 2 minutes. High — Alert within 10 seconds, escalate if unacknowledged within 5 minutes. Medium — Batched into digest notifications. Low — Logged for trend analysis, with no real-time alert.… Conclusion IRIS shows how existing camera infrastructure can become a real-time safety system on AWS, detecting unsafe conditions in seconds rather than minutes. By filtering at the edge, streaming metadata, running purpose-built models on Amazon SageMaker AI, and adding a…

12. [12] 2026-09-22 Extending public sector intelligence with Agentforce and AWS

    Public sector agencies process large volumes of unstructured evidence, such as body camera footage, surveillance video, and scanned documents, that require extracting insights before anyone can act on them. This post shows how to combine Amazon Bedrock Data Automation with… As Figure 2 illustrates, when a file or document lands in Amazon S3, an S3 event notification invokes an AWS Lambda function. The Lambda function generates a document ID, stores it alongside document metadata in Amazon DynamoDB, and starts an… In the Salesforce Setup console, open Quick Find and search for API Catalog, then choose MCP Server (see Manage External MCP Servers). Choose New. Then choose Register MCP Server to create a connection. Name the MCP server AwsBdaResultsMcp and set… Each of these can be recombined and extended for use cases involving unstructured data. Because each component operates independently, you can replace the processing engine to match your agency’s requirements while keeping the same ingestion and MCP query layers. For…

13. [13] 2026-09-22 What’s New for Game Developers: DLSS 5 with 3D-Guided Neural Rendering, NVIDIA ACE Updates, and New RTX Kit Capabilities

    NVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike lighting and material detail while…NVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike lighting and material detail while preserving their artistic intent. We also look at updates to NVIDIA ACE, RTX Mega Geometry 2.0, and…

14. [14] 2026-09-22 NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development

    To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at […]

15. [15] 2026-09-22 Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS

    GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between…GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between nodes, they may continue to be serialized or copied…

16. [16] 2026-09-21 Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton

    The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability…The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability that enables a single TensorRT network to execute across multiple GPUs using NCCL-backed…

17. [17] 2026-09-21 How to Evaluate AI Agents From Tool Calls to Task Completion

    When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and…When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and recover when a…

Sources

1. [1] Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock
2. [2] Claude Opus 5.5 is now available on AWS
3. [3] Enabling Private High-Performance Production AI Inference with NVIDIA Confidential Computing
4. [4] Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore
5. [5] Topology-Aware Workload Scheduling with NVIDIA Topograph
6. [6] The Genie One MCP is now Generally Available
7. [7] Genie One MCP: Give any AI Agent the Right Business Context
8. [8] How Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCore
9. [9] Right-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AI
10. [10] How Trane gets building insights 60x faster with Amazon Bedrock AgentCore
11. [11] How Tata Elxsi detects industrial safety risks in seconds on AWS
12. [12] Extending public sector intelligence with Agentforce and AWS
13. [13] What’s New for Game Developers: DLSS 5 with 3D-Guided Neural Rendering, NVIDIA ACE Updates, and New RTX Kit Capabilities
14. [14] NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
15. [15] Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS
16. [16] Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton
17. [17] How to Evaluate AI Agents From Tool Calls to Task Completion