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Partnerships and hiring data show AI companies are expanding beyond Nvidia chips

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CB Insights - Enterprise Ai Title: Partnerships and hiring data show AI companies are expanding beyond Nvidia chips Date: 2025-11-04 02:25 Source: https://www.cbinsights.com/research/ai-companies-expand-beyond-nvidia/ <p><a href="https://www.cbinsights.com/company/nvidia">Nvidia</a> isn’t the only AI chip supplier in t…
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  • More than half of AWS Bedrock service now runs on Trainium AI chips

    80% confidence
  • AI demand is outpacing supply, creating opportunity to develop Trainium chip capacity

    80% confidence
  • Early signals in hiring and partnerships show the AI compute mix starting to split away from Nvidia dominance

    80% confidence
  • Anthropic is the notable exception to Nvidia's investments across leading AI companies

    80% confidence
  • As compute comes from multiple vendors, a larger market will emerge for software that abstracts chip differences

    80% confidence
  • TensorWave has deployed North America's largest AMD GPU cluster and is projecting $100M in ARR by year-end

    80% confidence
  • Switching from CUDA is a major barrier due to infrastructure, software ecosystem, and unknown learning costs

    80% confidence
  • Google opening TPU capacity at Anthropic scale signals both Anthropic's push for non-Nvidia supply and Google's bet that more buyers want alternatives

    80% confidence
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AI Moves Into Devices, Security and Platforms: Physical AI Data, On-Device Compute and Agent Governance Drive a Late-October Product Wave
In late October 2026, vendors across hardware, enterprise software and security launched products built around AI moving out of the cloud and into devices, workflows and physical systems. Examples include NVIDIA RTX Spark laptops with Adobe, ASUS and Windows support for local and hybrid AI, and Harvest Praxis and Encord on embodied or physical AI. Enterprise software and security vendors (Salesforce–Braze, Fortinet, ServiceNow, Cisco, Intuit) are consolidating AI-driven customer data, adding inline AI security and agent governance, and embedding AI in financial and accounting workflows. The finance link is indirect: it rests on M&A, fintech-adjacent AI tooling and the capital flowing into physical AI. No regulatory driver appears in the facts.
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Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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