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Daily edition November 4, 2026

Daily AI-generated issue

AI engineering, November 4, 2026

Fireworks previews Ultra-fast inference, Revolut cuts coding inference costs roughly 90%, Nvidia tells data centres to reduce China exposure, WebHarbor packages 153 website replicas

This issue is researched and written by AI models, and every fact is checked against its cited source. No human edits it before it is sent.

  • Agents
  • APIs
  • Business
  • Data
  • Data centers
Edition
Daily
Published
November 4, 2026
Read time
3 min
Stories
3

Revolut moved roughly 2,000 engineers onto self-hosted GLM for coding. The fintech reports roughly 90% lower inference costs in less than a year.

Meanwhile, Fireworks is previewing Ultra-fast inference on Serverless for DeepSeek V4.1 Flash 1017. Nvidia is directing data centre clients to reduce their exposure to China.

If you read one thing today: Fireworks Ultra-fast. Use the dedicated Serverless model ID to test a faster serving mode without changing the underlying model.

Key takeaways

  1. 01Ultra-fast variants aim for 6-8x generation speed.
  2. 02Agentic coding targets go as high as 10x, according to Fireworks.
  3. 03Output quality stays the same because Ultra-fast changes the inference mode, not the model.

Top News

If token generation is holding up your application, Fireworks has a new serving mode to test. Ultra-fast runs DeepSeek V4.1 Flash 1017 on Serverless without changing the underlying model. You select it with a dedicated model ID rather than moving to a different model.

Here's what changed:

  • Ultra-fast variants aim for 6-8x generation speed.
  • Agentic coding targets go as high as 10x, according to Fireworks.
  • Output quality stays the same because Ultra-fast changes the inference mode, not the model.

One catch: Ultra-fast is in Preview and under active development, so its behavior or availability may change quickly.

Try it: On Fireworks Serverless, set the model to accounts/fireworks/routers/deepseek-v4p1-flash-1017-ultrafast.

Sources: docs.fireworks.ai

Top News

Revolut made self-hosted GLM its default for AI coding, reporting roughly 90% lower inference costs than relying primarily on commercial services such as Claude. This is an internal deployment for its engineers, not a public coding service.

Here's what changed:

  • Revolut reported GLM-5.1 inference at $0.30 per million input/output tokens, about one-tenth its stated cost for OpenAI Codex or Anthropic Claude Code.
  • Serving optimizations brought time to first token below three seconds at around 256,000 tokens of context, with generation around 200 tokens per second, Revolut reported.
  • The rollout reached roughly 2,000 engineers. Revolut says coding time improved 60% and lead time improved 70%.
  • Revolut moved from GLM-5.1 to GLM-5.3, serving GLM-5.3 on 56 Nvidia B200 GPUs.

One catch: GLM did not fully replace GPT or Claude. It is text-only and not ideal for UI work, so Revolut routed vision queries to other models.

Sources: theregister.com

Top News · Reported · ft.com

Nvidia is putting a customer-base requirement on cloud computing providers. It is directing data centre clients to reduce their exposure to China, and says a majority of cloud providers' clients must be non-Chinese.

Here's what the direction covers:

  • Data centre clients are being told to reduce their China exposure.
  • Cloud computing providers have a specific instruction: their client base must have a non-Chinese majority.
  • The majority requirement concerns the provider's customers, rather than the provider's own nationality.

Why care? If you are discussing this directive with a cloud provider, the concrete question is about who that provider serves. Nvidia told cloud computing providers that a majority of their clients must be non-Chinese, while directing data centre clients to reduce their exposure to China.

Sources: ft.com

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Signals

  1. Axion 1.0 uses three training stages for an open agent foundation model · 20 Upvotes
  2. WebHarbor packages 153 real-world website replicas into Docker environments for GUI agents · 2 Upvotes
  3. Mamba, Gated DeltaNet and xLSTM risk training stalls from near-zero token embeddings · 6 Upvotes
  4. DR Pixel runs deep research over 1.06M document pages using images, not OCR · 5 Upvotes
  5. Scrapling handles web scraping from single requests to full-scale crawls · 90 Stars today
  6. Krea 3 finishes image edits within 8 seconds in production

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