Le Futur CPU qui Fait Trembler AMD, Intel et ARM ? RISC-V est DEJA dans TON PC ?

Le Futur CPU qui Fait Trembler AMD, Intel et ARM ? RISC-V est DEJA dans TON PC ?

The Future CPU That Will Make AMD, Intel, and ARM Tremble? Is RISC-V ALREADY in YOUR PC?

Title history
  • Le Futur CPU qui Fait Trembler AMD, Intel et ARM ? RISC-V est DEJA dans TON PC ? — observed on 20261101-0147 UTC (YouTube)
🎙 MAKERTRONIC TECH 👥 6K 📅 January 21, 2026 ⏱ 24 min 👁 5K 📄 science communication 🧭 2026-11-01
Available in: English (current) Français

Keywords

RISC-VNvidiaFalconGSPNVLinkCUDASiFiveEsWinBlackwellCPU/GPU

Summary

This video from MAKERTRONIC TECH explores the relationship between Nvidia and the open RISC-V processor architecture. The presenter reveals that RISC-V has been silently integrated into Nvidia GPUs since 2018, replacing the proprietary Falcon microcontrollers, and that by 2024 Nvidia shipped over one billion RISC-V cores. The video outlines the historical transition from Falcon to RISC-V, driven by the need for 64-bit addressing, lower licensing costs, and more customization freedom. It explains the technical features of Nvidia’s RISC-V cores, such as the 1024-bit vector extension tailored for CUDA warps, and the integration of the GPU System Processor (GSP) that offloads driver logic onto the GPU itself. The presenter highlights 2025 as a strategic pivot: Nvidia announced CUDA support for RISC-V and collaboration with Chinese company SiFive, using NVLink to connect RISC-V CPUs to Nvidia GPUs at high speeds. The video argues that Nvidia is leveraging RISC-V as a tool to break the x86/ARM duopoly while keeping its proprietary GPU and interconnect ecosystem as the core value. It concludes with speculation about the future of CPU architectures and Nvidia’s role in shaping it.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear and insightful explanation of Nvidia’s internal use of RISC-V, a topic often overlooked. The argumentation is logically structured: it starts with a technical overview, moves to historical context, then details Nvidia’s current strategy, and finally assesses competitive implications. The claim that RISC-V is already ubiquitous in consumer GPUs is compelling and supported by references to specific architectures (Turing, Ampere, Hopper, Blackwell) and the GSP concept. However, the presenter’s style is conversational and somewhat repetitive, and no hard data or external citations are provided to substantiate numbers like ‘1 billion cores’. The analysis of Nvidia’s motivations (cost savings, flexibility, strategic control) is plausible but lacks direct evidence from Nvidia documents or interviews.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite specific sources in the description or in the narration. The only link provided is a generic Amazon support page, which is not a scientific reference. The title is well-aligned with the content and appropriately dramatic, without misleading the viewer. The presenter relies on general industry knowledge, and while the information appears accurate, the lack of cited sources reduces the overall scientific rigor. No comments were provided for analysis, so public reception cannot be assessed.

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Title / Content Match

The title is accurate and matches the content: the video explains how RISC-V is already used inside Nvidia GPUs and discusses its strategic importance for Nvidia, addressing the impact on Intel, AMD and ARM.

Quality & Reliability

7/10

The content is technically coherent and well-structured, but relies on general knowledge and personal analysis without precise citations of independent sources. Some claims (e.g., 1 billion RISC-V cores shipped) are plausible and mentioned as official, but not verified in the video.

Key Moments

Cited Sources

  • Amazon store (support link) — This link appears in the description as a sponsorship/support link, not a source of scientific information.

Concurring Sources

  • RISC-V International — Standard body for RISC-V, confirms industry adoption trends.
  • Nvidia Developer Blog on GSP — Nvidia's official documentation on GSP, supports the video's claims about driver offloading.

Dissenting Sources

  • ARM architecture overview — The video suggests ARM licensing costs are prohibitive, but ARM's business model is complex and some might argue that scale reduces per-unit costs, making this claim context-dependent.

Contribution & Novelties

This video brings to light the largely invisible but massive adoption of RISC-V inside Nvidia GPUs, a fact that is rarely covered in mainstream tech media. It connects Nvidia’s internal architecture choices (Falcon → RISC-V) to its broader business strategy, showing how an open ISA can serve as a competitive weapon to control the AI hardware ecosystem. The analysis of the GSP and offloading driver logic is a valuable technical insight.

Pour aller plus loin :

  • RISC-V architecture — Official definition and background of the open ISA.
  • CUDA — Nvidia’s parallel computing platform and its role in AI.
  • NVLink — Nvidia’s high-speed interconnect technology mentioned in the video.
  • SiFive — Company specializing in RISC-V processors, partner in the 2026 alliance.
  • GPU System Processor (GSP) — Nvidia’s official page explaining the GSP, relevant to the driver offloading concept.

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Radar Profile

The radar profile shows a balanced video with moderate scores across all dimensions, indicating good but not exceptional information density, technical depth, and reliability. The high note on global score reflects the timely and impactful subject, while the lower scores on quality and reliability stem from the lack of cited sources and a somewhat informal presentation style.

Reliability 6/10