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Insights, updates and articles on AI agent orchestration — from practical guides to deep dives on building with HelixML.

One Qwen Model, Two Speeds: What Smart Routing Bought Us

Aug 28, 2026

We gave two Qwen3.8 replicas different jobs. Short responses got up to 79% more throughput, long responses kept the faster standard path, and Ramjet chose between them without giving up prompt-cache locality.

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GLM-5.3-Flash on RTX PRO 6000, Part 1: Getting Day-Zero Serving to Work

Aug 27, 2026

We got the 321B-parameter GLM-5.3-Flash serving in NVFP4 on four RTX PRO 6000 GPUs. Here is what worked, what broke, and why it is still an experiment.

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Qwen3.8-Flash-Next on Eight GPUs: What Actually Helped

Aug 27, 2026

We ran Qwen's Qwen4 preview across eight RTX PRO 6000 GPUs. Speculative decoding helped at low load, but smarter routing cut repeat-request startup from 2.5 seconds to 287 ms.

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A Better lm_head for Qwen3.8-27B: How We Tested and Shipped It

Aug 25, 2026

A new BF16-head checkpoint promised better accuracy. We matched it against production, measured 7.5% faster decode with no regression in our agent corpus, then rolled it across eight GPUs one at a time.

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We Doubled Our Inference Throughput by Reading a Log Line

Aug 23, 2026

Our 8× RTX PRO 6000 box looked saturated at 4,256 tok/s. It wasn't — it was queueing behind a state cache we'd never configured. One flag took c192 from 3,833 to 7,882 tok/s, and gating it honestly meant rebuilding our test harness.

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Chasing a 454 tok/s tweet: a day of tuning Qwen3.8-27B on the RTX PRO 6000

Aug 22, 2026

We tried to reproduce a viral single-GPU benchmark on our production box. We got 335, found out why the last 120 tok/s is physically locked out on Server Edition cards, and walked away with a +12% win we actually shipped.

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SGLang vs DwarfStar vs vLLM+DSpark: Running DeepSeek 4 on the RTX Pro 6000

Aug 14, 2026

Production benchmarks from our Helix agent fleet on 8× RTX PRO 6000: the engine journey from DwarfStar (122 tok/s) to SGLang (653 tok/s) to vLLM+DSpark (946 tok/s box aggregate, 204 tok/s single-stream). Same hardware, 7.8× throughput.

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What's Actually in the Sovereign Server

Aug 14, 2026

We ship a 4U rack server with 8× NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and 768 GB of VRAM. The same silicon now serves Qwen3.8 at 153.3 tok/s single-stream with 208 scheduler slots, while DeepSeek reaches 1.82–1.89K output tok/s peak decode.

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Automate Your Own Job with AI

Aug 2, 2026

Automate your own job with AI - every automation wave since Ford optimised the business, never the individual, so start by reclaiming the first hour of your day.

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The Subtraction Dividend: Helix Now Runs Inference on AWS Trainium

Jun 30, 2026

Serve models on AWS Trainium and Inferentia with Helix: cheaper per token, real capacity when GPUs are scarce, and a drop-in OpenAI-compatible endpoint.

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An AI Agent Deleted Our CI System While I Was on the Runway at Heathrow

Jun 10, 2026

I gave an AI agent kubectl access to production. It deleted our CI. Now agents open PRs instead — and the first one just fixed a volume alert at 4am.

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The Second-Order Effects of AI-Augmented Organisations

Jun 8, 2026

Once AI colleagues are real, span of control collapses, hierarchies flatten, team-size doctrines die, and the new failure mode is attentional drift, not cognitive overload.

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Giving Every Agent Its Own Desktop

Jun 3, 2026

I recorded my talk at Tessl AI DevCon on my laptop. Here's what I said about why agents need their own computers, why Claude Code made me stupider, and why multi-agent org charts devolve into corporate politics.

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Modelling the AI-Augmented Organisation

May 26, 2026

Swarms of agents is the wrong mental model. Reuse the org-chart and model AI as colleagues with roles, responsibilities, and a human accountable at the top.

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Four Lessons from Building an Agentic Workforce

May 15, 2026

Notes from wiring up agents with personalities to streams of information: cascading self-activations, models that won't shut up, emergent enterprise politics, and agents that forget they aren't human.

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Working with the Garage Door Up, Without a Door

May 7, 2026

Why every design doc we write goes straight to a public Git branch, and what we've learned by leaving the door off.

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Chunking Beats Slicing: What SWE-Bench Taught Me About Code Intelligence

Mar 17, 2026

I benchmarked two approaches to code indexing. The smarter one lost.

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76ms writes on an NVMe: how ZFS dedup ate my agent infrastructure alive

Mar 16, 2026

ZFS dedup was causing 4-6x write amplification and 76ms latency spikes on our agent infrastructure. The fix was a ZFS feature from 2005.

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Adding support for Gemini thought signatures

Mar 7, 2026

Gemini 3 and 2.5 models require thought signatures for multi-turn tool calling. Here's what they are, why they break OpenAI-compatible proxies, and how we fixed it in Helix with a global signature cache.

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The $175K Server That Replaces Your Cloud AI Bill

Mar 5, 2026

We're shipping a 4U rack server with 8× NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, 768 GB VRAM, and Helix preloaded. The maths works — and sovereignty matters more than cost.

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Trump Can Read Your Email — and Your AI Agent Logs: The Case for Digital Sovereignty

Mar 5, 2026

I was on a video call with Dubai while missiles were being intercepted overhead. The next day I watched Trump threaten the UK prime minister on live television. It connected some dots about AI infrastructure.

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Introducing the Helix Blog

Feb 25, 2026

Welcome to the Helix blog — your source for insights, tutorials, and updates on AI agent orchestration with HelixML.

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