1
探索会议
我们了解您的目标、挑战和技术前景。没有义务——只是公开交流。
AI 平台工程即服务
构建、部署和规模化生产 AI没有平台组织的生产型人工智能
AI platform engineering as a service is how we deliver production AI without asking you to hire a platform org. cloudstrata combines strategic cloud advisory with AI Foundry—the shared runtime we design, build, and operate: agents, RAG, inference routing, tenancy, guardrails, and metering on one managed surface.AI platform engineering as a service: advisory + AI Foundry—agents, RAG & inference, governed and metered. Linz · Europe.
OpenAI·How ChatGPT adoption has expandedMicrosoft Azure·Meet Brain: The AI system behind Azure reliabilityAWS·Upgrade Amazon EKS clusters with confidence using Kubernetes version rollbacksKubernetes·Open source maintainership in the age of AIClaude·Giving admins more visibility and control over Claude spendOpenAI·Inside Genebench-ProMicrosoft Azure·Proving application resilience on Azure with Chaos StudioAWS·Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express modeKubernetes·Introducing the Cluster API plugin for HeadlampClaude·Getting started with loopsOpenAI·Introducing GeneBench-ProMicrosoft Azure·Azure IaaS: How to design, build, and optimize cloud infrastructure for long-term cost efficiencyAWS·Amazon EC2 C9g and C9gd instances powered by AWS Graviton5 processors are now availableKubernetes·Inspect Volcano workloads faster with HeadlampClaude·Claude in Microsoft Foundry is now generally availableOpenAI·Core dump epidemiology: fixing an 18-year-old bugMicrosoft Azure·Claude in Microsoft Foundry is now generally availableAWS·Automate public TLS certificate issuance with ACME support in AWS Certificate ManagerKubernetes·See your serverless: introducing the Headlamp plugin for KnativeClaude·Introducing the Claude apps gateway for Amazon Bedrock and Google CloudOpenAI·Mapping Europe’s AI Workforce OpportunityMicrosoft Azure·The 2026 Agent Confidence Index: Where 300 builders see real momentumAWS·AWS Weekly Roundup: Agentic CX designer for Amazon Connect Customer, EC2 AMI Watermarks, Open Governance for MySQL, and more (June 29, 2026)Kubernetes·Spotlight on WG Device ManagementClaude·Agent identity in Claude Tag: a new access model for autonomous, team-wide AIOpenAI·HP Inc. launches Frontier strategic partnership with OpenAIMicrosoft Azure·Accelerate modern Linux workloads with Azure FilesAWS·Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMsKubernetes·Spotlight on SIG StorageClaude·Building effective human-agent teamsOpenAI·Previewing GPT-5.6 Sol: a next-generation modelMicrosoft Azure·The performance dividend: Optimizing PostgreSQL on Azure directly in Visual Studio CodeAWS·AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026)Kubernetes·From Kubernetes Dashboard to Headlamp: Understanding the TransitionClaude·The full Claude Desktop experience on AWS, Google Cloud, and Microsoft FoundryOpenAI·How agents are transforming workMicrosoft Azure·From insight to action: The next phase of agentic cloud operationsAWS·Announcing Amazon EC2 G7 instances accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUsKubernetes·Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEsClaude·Centrally manage authorization for MCP connectorsOpenAI·OpenAI and Broadcom unveil LLM-optimized inference chipMicrosoft Azure·Modernize your data with Azure Storage: Plan and migrate with confidenceAWS·Amazon ECS introduces new high-resolution metrics for faster service auto scalingKubernetes·Announcing etcd 3.7.0-beta.0Claude·Steering Claude Code: CLAUDE.md files, skills, hooks, rules, subagents and moreOpenAI·Helping build shared standards for advanced AIMicrosoft Azure·3 things leaders need to know from Microsoft Build 2026AWS·Top announcements of the AWS Summit in New York, 2026Kubernetes·Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller ManagerClaude·Claude Code now supports artifactsOpenAI·How ChatGPT adoption has expandedMicrosoft Azure·Meet Brain: The AI system behind Azure reliabilityAWS·Upgrade Amazon EKS clusters with confidence using Kubernetes version rollbacksKubernetes·Open source maintainership in the age of AIClaude·Giving admins more visibility and control over Claude spendOpenAI·Inside Genebench-ProMicrosoft Azure·Proving application resilience on Azure with Chaos StudioAWS·Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express modeKubernetes·Introducing the Cluster API plugin for HeadlampClaude·Getting started with loopsOpenAI·Introducing GeneBench-ProMicrosoft Azure·Azure IaaS: How to design, build, and optimize cloud infrastructure for long-term cost efficiencyAWS·Amazon EC2 C9g and C9gd instances powered by AWS Graviton5 processors are now availableKubernetes·Inspect Volcano workloads faster with HeadlampClaude·Claude in Microsoft Foundry is now generally availableOpenAI·Core dump epidemiology: fixing an 18-year-old bugMicrosoft Azure·Claude in Microsoft Foundry is now generally availableAWS·Automate public TLS certificate issuance with ACME support in AWS Certificate ManagerKubernetes·See your serverless: introducing the Headlamp plugin for KnativeClaude·Introducing the Claude apps gateway for Amazon Bedrock and Google CloudOpenAI·Mapping Europe’s AI Workforce OpportunityMicrosoft Azure·The 2026 Agent Confidence Index: Where 300 builders see real momentumAWS·AWS Weekly Roundup: Agentic CX designer for Amazon Connect Customer, EC2 AMI Watermarks, Open Governance for MySQL, and more (June 29, 2026)Kubernetes·Spotlight on WG Device ManagementClaude·Agent identity in Claude Tag: a new access model for autonomous, team-wide AIOpenAI·HP Inc. launches Frontier strategic partnership with OpenAIMicrosoft Azure·Accelerate modern Linux workloads with Azure FilesAWS·Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMsKubernetes·Spotlight on SIG StorageClaude·Building effective human-agent teamsOpenAI·Previewing GPT-5.6 Sol: a next-generation modelMicrosoft Azure·The performance dividend: Optimizing PostgreSQL on Azure directly in Visual Studio CodeAWS·AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026)Kubernetes·From Kubernetes Dashboard to Headlamp: Understanding the TransitionClaude·The full Claude Desktop experience on AWS, Google Cloud, and Microsoft FoundryOpenAI·How agents are transforming workMicrosoft Azure·From insight to action: The next phase of agentic cloud operationsAWS·Announcing Amazon EC2 G7 instances accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUsKubernetes·Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEsClaude·Centrally manage authorization for MCP connectorsOpenAI·OpenAI and Broadcom unveil LLM-optimized inference chipMicrosoft Azure·Modernize your data with Azure Storage: Plan and migrate with confidenceAWS·Amazon ECS introduces new high-resolution metrics for faster service auto scalingKubernetes·Announcing etcd 3.7.0-beta.0Claude·Steering Claude Code: CLAUDE.md files, skills, hooks, rules, subagents and moreOpenAI·Helping build shared standards for advanced AIMicrosoft Azure·3 things leaders need to know from Microsoft Build 2026AWS·Top announcements of the AWS Summit in New York, 2026Kubernetes·Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller ManagerClaude·Claude Code now supports artifacts
我们做什么
云咨询、定制软件和运营的人工智能平台
Your roadmap should not depend on standing up an internal platform guild. Under AI platform engineering as a service, we own the architecture, integrations, and operated AI Foundry surface so prompts, retrieval, observability, and billing stay aligned—from pilot through scale. 了解更多关于我们的服务
解决方案
AI Foundry — the managed runtime behind our AI platform engineering as a service.
AI Foundry
cloudstrata AI Foundry
AI Foundry is the slice between vibe-coded demos and a full platform hire: multi-tenant workspaces, tool routing for LLMs, retrieval pipelines, evaluation hooks, and Stripe-backed metering – ready when procurement asks real questions.
您的团队迭代提示和数据集；我们运营共享的基础——身份边界、审计追踪以及与结果相关的支出——而不是分散在笔记本电脑上的影子实验。
每月 500 欧元起
- 围绕待完成的工作（而不是基准）设计试点，然后在扩大爆炸半径之前附加评估门
- 代理 + 连接器共享租赁、跟踪和速率限制，使事件保持无聊
- Inference and embeddings workloads metered next to executive KPIs – finance reads the same chart engineering does
- Stripe-backed SaaS posture: predictable tiers instead of surprise GPU invoices
- RBAC, secrets posture, and isolation primitives sized for regulated narratives
- 路线图使采购、安全和建筑商保持一致——没有平行的电子表格事实
参与如何进行
从发现到生产——具有明确的里程碑。
每次冲刺都会揭示有关检索保真度、延迟范围和成本范围的更尖锐的假设，而不是模棱两可的人工智能乐观主义。
2
解决方案介绍
We propose architectures tying embeddings stores, orchestration, observability, and procurement dashboards – not slideware disconnected from Terraform realities.
3
提案与规划
明确的范围、时间表和商业条款。在开始之前，我们会调整里程碑。
4
执行
Engineers pair-program integrations, CI/CD lanes, and LLMOps safeguards – with demos rooted in logged prompts and retrieval citations.
5
支持与迭代
我们与您同在：启动支持、优化和持续改进。
现场笔记
来自人工智能平台边缘的信号。
关于检索经济学、推理姿态和清醒的推出排序的文章——而不是炒作卷轴。
人工智能
OpenAI Reasoning Models: What o1 and o3 Mean for Enterprise AI
OpenAI's reasoning models (o1, o3) represent a leap in chain-of-thought capabilities. Learn how enterprises can leverage these models for complex problem-solving, code generation, and strategic decision support.
了解更多
人工智能
ChatGPT API 和开发者平台：构建者的新增功能
The ChatGPT API continues to evolve with new models, fine-tuning options, and developer tools. Discover how to build production AI applications with the latest OpenAI platform capabilities.
了解更多
人工智能
RAG for Enterprise: Building Production-Ready Retrieval Systems
Retrieval Augmented Generation (RAG) is essential for grounding LLMs in your data. Learn best practices for building scalable, accurate RAG pipelines in enterprise environments.
了解更多