Physical AI，从试点到可靠生产——关于工业 AI、边缘系统、机器人与 EU AI Act 的一线笔记，源自 17 年以上的生产工程实践。
This week’s research pushes embodied AI in two directions: agents that retain vastly more operational context and systems that learn more efficiently from video and experience. But greater capabili...
A new hardware class quietly removed the industrial edge's worst trade-off: thin NPU boxes or rack servers, nothing in between. What changes — and what deliberately doesn't.
Measured on the lab workstation: what a 128GB unified-memory APU actually does with 7B–30B open-weight models — real numbers, honest limits, and why this hardware class matters at the industrial edge.
Why most Physical AI pilots die between demo and deployment — and the 90-day operating tempo that gets one system to production without a year-two rebuild.
- Install Foxglove in 2 minutes via desktop, web, or Docker.
*From zero to control-rate VLAs on Jetson AGX Orin: what fits, what breaks, and how to ship it*
- PixWorld eliminates latent-space bottlenecks by operating directly in pixel space, preserving geometric fidelity for [robotics](https://hyperion-consulting.io/services/physical-ai-deployment) and...
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*A rigorous framework for adapting Vision-Language-Action models to new camera poses, robot embodiments, and environmental conditions with minimal data*
Operational, Generative, Physical — the three-category grid that decides your architecture, staffing, regulation, and risk. Category errors stall portfolios.
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Quantisation regression, thermal throttling, sensor drift, OTA failure — the four engineering problems that account for most Physical AI production incidents.
Learn how to automate Isaac Sim EULA acceptance for headless CI/CD pipelines. Step-by-step guide from Hyperion Consulting experts.
Master LeRobot setup with Hugging Face in minutes. Step-by-step guide from Hyperion Consulting's AI experts. Start building today!
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Four classification mistakes industrial AI teams keep making — and what Article 6, Annex III, conformity assessment, and the 2026 timeline actually require.
- Vision-language models (VLMs) systematically misjudge vertical distances, risking failures in [robotics](https://hyperion-consulting.io/services/physical-ai) tasks like bin-picking and navigation.
- VLAConf is the first method to provide calibrated task-success confidence for Vision-Language-Action (VLA) models, addressing a critical gap in robotic safety and reliability [VLAConf](https://ar...
The transformer architecture has become the de facto standard for large language models (LLMs), powering applications from conversational agents to autonomous decision systems. At its core, the sel...
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Five engineering mismatches that cause production AI to fail in industrial environments — and what a Physical AI architecture actually looks like when latency, safety, and unreliable networks are non-negotiable.
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April 2026. You’ve just deployed an [AI agent](https://hyperion-consulting.io/services/ai-agents) to automate infrastructure management—only to watch it execute `terraform destroy` on your producti...
*A hands-on guide to designing, training, and deploying autonomous AI SRE agents*
The definitive SLM guide — Phi-4-mini, Gemma 3, SmolLM2, Qwen2.5 — with benchmarks, hardware requirements, edge deployment patterns, quantization, and the SLM vs LLM decision framework.
Here’s the revised article with all uncited claims addressed:
The most comprehensive enterprise LLM fine-tuning guide — LoRA, QLoRA, DPO, GRPO, Unsloth, Axolotl, dataset preparation, evaluation, and production deployment. Verified benchmarks and real costs.
Everything enterprise teams need to know about Hugging Face — Hub, Transformers, PEFT/LoRA, TRL/DPO, Inference Endpoints, Enterprise Hub, and on-premise deployment.
Everything enterprise teams need to deploy Ollama in production — installation, GPU setup, Docker, Kubernetes, API reference, security hardening, and scaling. The most comprehensive Ollama guide available.
Complete guide to Mistral AI's full model lineup — Large 2, Small 3.1, Codestral, Pixtral, Forge — with pricing, EU sovereignty advantages, benchmarks, and production patterns.
Everything European enterprise teams need to know about Claude Opus 4.6, Claude Sonnet 4.6, Claude Code, MCP, and the Claude Agent SDK — with GDPR compliance, pricing, and production use cases.
Maximize AMD Strix Halo LLM speed with Ollama, LMStudio & llama.cpp. Fix rocBLAS, ROCm vs Vulkan & Ryzen AI. Hyperion Consulting guide.
Mistral just changed the enterprise AI equation. Forge lets companies train frontier-grade models on their own data — on-premises, sovereign, owned outright. Here is what it means for your AI strategy and EU AI Act compliance.
Less than 5 months until August 2, 2026. The EU AI Act's high-risk requirements apply — fines up to €35 million or 7% of global turnover. Every Article 9–15 obligation explained, all 8 Annex III categories, conformity assessment, GPAI rules already in effect, and a month-by-month roadmap.
My latest arXiv paper introduces Auralink SDC — an edge-computing architecture achieving 78% autonomous fault resolution across 18,000 real EV charging incidents, built on all six layers of the Physical AI Stack™.
In 2026, a single undetected hardware vulnerability in a System-on-Chip (SoC) can compromise an entire fleet of industrial IoT devices—or worse, violate the [EU AI Act](https://hyperion-consulting....
AI project failure is primarily a leadership and organizational problem, not a technical one. Here's what really goes wrong and how to fix it.
Greece announced a landmark EUR 150 million AI support scheme for SMEs. Here's how Hyperion Consulting helps Greek businesses seize this once-in-a-generation opportunity.
How does your industry compare on AI adoption? Based on 200+ enterprise assessments across Europe, here's where each sector stands — and where the opportunities are.
Most AI proofs-of-concept die before deployment. The failure isn't technical — it's structural. A 4-phase framework to bridge the gap from impressive demo to reliable production system.
Jim Collins' Hedgehog Concept is one of the most powerful strategy frameworks ever created. Here's how AI companies can use it to find their strategic sweet spot and stop chasing every shiny opportunity.
The EU AI Act enforcement deadline is approaching fast. Here's a practical compliance roadmap for enterprise AI teams — with timelines, risk classifications, and concrete action items.
Forget the race to build bigger models. In 2026, the smartest enterprises are deploying smaller, specialized language models that run faster, cost less, and perform better for specific tasks.
The factory floor is becoming intelligent. Edge AI enables real-time quality inspection, predictive maintenance, and autonomous operations—but getting from pilot to production requires careful architecture.
Building AI in-house costs 3-5x what vendors quote. Buying locks you into someone else's roadmap. A TCO framework with real numbers to make the right call for your organization.
GPT-4o API costs $100K/month at scale. Self-hosted Llama 4 Maverick? $15K. Compare Llama, Mistral, Qwen and DeepSeek — with real deployment architectures, cost breakdowns, and security checklists.
Prompt injection is the #1 security vulnerability in production LLM systems. Here's how to defend against it with layered security — from input validation to output filtering.
Your RAG demo works perfectly. Production is a disaster. Hallucinations, 3-second latency, costs 10x over budget. 7 battle-tested techniques to fix retrieval, reduce hallucinations, and cut inference costs.
Everyone's talking about AI agents. Your board wants an 'agentic AI strategy.' But most agent deployments fail. Here's how to build production agents with proper guardrails.
Exploring how the automotive industry can leverage collective intelligence and open collaboration to accelerate SDV development and innovation.
A comprehensive look at how the automotive industry is transforming through software-defined architecture and what it means for the future of mobility.
How digital platforms are enabling new forms of innovation and value creation in the software-defined vehicle ecosystem.
大多数 AI 试点从未走向生产。获取成功交付者的实战手册。
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