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Thinking Machines LabPartnership

Thinking Machines Lab unveils new Inkling version at fourth its size

What happened

Thinking Machines Lab entered into a major partnership with Nvidia, gaining access to its GB300 NVL72 systems for AI model training.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

by Suhasini Srinivasaragavan 31 Jul 2026 Image: © jolygon/Stock.adobe.com Inkling Small matches or exceeds Inkling on reasoning and agentic tasks, the company said. Nvidia-backed Thinking Machines Lab has unveiled a new open-weights model that performs "comparabl[y]" to Inkling, but at fourth its size. The company launched its first AI model Inkling earlier this month following a mega partnership with Nvidia that gave Thinking Machines access to its GB300 NVL72 systems for training. The chipmaker also made a significant investment into the company. Inkling-Small comes in at 276bn total, and 12bn active parameters. Compared to its bigger predecessor, the new model achieves comparable performance with much less compute, said Thinking Machines. It matches or exceeds Inkling on reasoning and agentic tasks, it added. Artificial Analysis scores Inkling-Small 40pc on the Intelligence Index, placing it "well above average" to other comparable models. Inkling earns 41pc while DeepSeek V4 Flash matches Inkling-Small at 40pc. At 93 tokens per second, the model is also faster than the average, it said. On Humanity's Last Exam, the model scored above 31pc, ahead of Inkling's 29.7pc, and on the SWEBench-Verified, it crossed 80pc. The model takes text, image, and audio inputs and outputs text. Thinking Machines said that Inkling-Small, much like Inkling, is suited for real-world...

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Event
Partnership

What this signalsA new partnership often opens integration and co-selling work.

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The full record

From the Signal API record

Extraction

Confidence
90%
Detected
Jul 31, 2026
signal_type
news
signal_subtype
partners_with

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/d8c4b31e-eb0a-8754-3680-e729795d6f0b returns this record as JSON. POST /v1/companies/enrich returns every signal for thinkingmachines.ai.

{
  "signal_id": "d8c4b31e-eb0a-8754-3680-e729795d6f0b",
  "signal_type": "news",
  "signal_subtype": "partners_with",
  "detected_at": "2026-07-31T11:48:48+00:00",
  "company": {
    "name": "Thinking Machines Lab",
    "domain": "thinkingmachines.ai"
  },
  "data": {
    "url": "https://www.siliconrepublic.com/business/thinking-machines-lab-unveils-new-inkling-version-at-fourth-its-size",
    "title": "Thinking Machines Lab unveils new Inkling version at fourth its size - Silicon Republic",
    "excerpt": "by Suhasini Srinivasaragavan 31 Jul 2026 Image: © jolygon/Stock.adobe.com Inkling Small matches or exceeds Inkling on reasoning and agentic tasks, the company said. Nvidia-backed Thinking Machines Lab has unveiled a new open-weights model that performs “comparabl[y]” to Inkling , but at fourth its size. The company launched its first AI model Inkling earlier this month following a mega partnership with Nvidia that gave Thinking Machines access to its GB300 NVL72 systems for training. The chipmaker also made a significant investment into the company. Inkling-Small comes in at 276bn total, and 12bn active parameters. Compared to its bigger predecessor, the new model achieves comparable performance with much less compute, said Thinking Machines. It matches or exceeds Inkling on reasoning and agentic tasks, it added. Artificial Analysis scores Inkling-Small 40pc on the Intelligence Index, placing it “well above average” to other comparable models. Inkling earns 41pc while DeepSeek V4 Flash matches Inkling-Small at 40pc. At 93 tokens per second, the model is also faster than the average, it said. On Humanity’s Last Exam, the model scored above 31pc, ahead of Inkling’s 29.7pc, and on the SWEBench-Verified, it crossed 80pc. The model takes text, image, and audio inputs and outputs text. Thinking Machines said that Inkling-Small, much like Inkling, is suited for real-world...",
    "summary": "Thinking Machines Lab entered into a major partnership with Nvidia, gaining access to its GB300 NVL72 systems for AI model training.",
    "planning": false,
    "image_url": "https://www.siliconrepublic.com/wp-content/uploads/2024/08/brain_illustration_retro.jpeg",
    "confidence": 0.9,
    "published_at": "2026-07-31T11:48:48Z",
    "article_sentence": "The company launched its first AI model Inkling earlier this month following a mega partnership with Nvidia that gave Thinking Machines access to its GB300 NVL72 systems for training.",
    "related_company_name": "Nvidia",
    "related_company_domain": "nvidia.com"
  }
}

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