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Why Nvidia stock is up around 2% on Friday

Why Nvidia stock is up around 2% on Friday
Utkarsh Roshan
Jul 10, 2026, 10:58 AM

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NVDA buy

Buy NVDA. The news is a “custom chip” step-up by Meta, but Reuters says it’s meant to augment GPUs, not replace them. That supports Nvidia’s near-term dominance in training accelerators while Meta’s custom silicon mainly targets cost and inference efficiency. Add the catalyst: Wall Street is already constructive (Morgan Stanley top pick; TD Cowen Buy) and the stock is only up ~2%—room for re-rating if demand stays constrained.

Key Risk: Meta’s Iris actually replaces a meaningful share of Nvidia GPUs in training, not just inference, cutting Nvidia’s growth and margins faster than expected.

AVGO buy

Buy AVGO. Meta is working with Broadcom on Iris design. That creates incremental custom-silicon and networking/AI infrastructure demand tied to hyperscaler in-house chips. Even if Iris augments rather than replaces GPUs, Broadcom is positioned as a supplier in the custom-chip ecosystem, which should benefit as more hyperscalers pursue silicon tailored to their workloads.

Key Risk: Broadcom’s role is limited to minor design support and doesn’t translate into material revenue or long-term platform share.

  • Nvidia rose despite reports of Meta's expanded in-house AI chip plans.
  • Meta's new processor is expected to complement, not replace, Nvidia GPUs.
  • Wall Street analysts maintained bullish views on Nvidia's AI prospects.

Nvidia stock NVDA traded higher on Friday as investors looked past reports that one of the company's largest customers is stepping up development of its own artificial intelligence processors.

The stock was up about 2.3% at around $207 at the time of writing after trading lower in premarket activity.

Meta advances custom AI chip efforts

The latest development came after Reuters reported that Meta Platforms plans to begin manufacturing a new in-house artificial intelligence chip from September, citing an internal company memo.

The processor, code-named "Iris," forms part of Meta's multi-generation Meta Training and Inference Accelerators (MTIA) program and is intended to support the artificial intelligence systems powering Facebook and Instagram.

According to Reuters, testing of the chip took six weeks and uncovered no major issues, marking progress for an initiative that has faced challenges since it began more than five years ago.

The report said Meta is working with Broadcom on the chip's design, while Taiwan Semiconductor Manufacturing Co. will manufacture the processors.

Meta's goal is to lower its computing costs and reduce dependence on third-party chip suppliers by using silicon tailored to its own workloads.

However, Reuters reported that the new chip is intended to augment, rather than replace, the large volumes of graphics processing units Meta continues to purchase from Nvidia and Advanced Micro Devices.

Meta has previously introduced several generations of MTIA chips and has said they could eventually replace GPUs in some servers while expanding into AI training workloads.

To date, custom chips have primarily been used for inference, the process of generating responses from trained AI models.

Competitive pressure continues to build

The report represents another example of a broader trend across the artificial intelligence industry, where major technology companies are increasingly investing in custom silicon to optimize performance and reduce infrastructure costs.

While those efforts have raised concerns about Nvidia's long-term market share, custom processors have so far complemented rather than displaced the company's graphics processors in many large-scale AI deployments.

Nvidia continues to dominate the market for AI accelerators, particularly for training frontier models, even as hyperscalers pursue greater control over portions of their computing infrastructure.

Wall Street remains constructive

Morgan Stanley reiterated its Overweight rating and $288 price target on Nvidia following the company's recent non-deal roadshow with senior executives.

The investment bank said Nvidia conveyed confidence in an accelerating and increasingly diversified growth story that could appeal to both growth- and value-oriented investors.

Morgan Stanley also maintained Nvidia as its top pick within the semiconductor sector.

Earlier this week, TD Cowen reaffirmed its Buy rating and $275 price target after meeting with Chief Executive Officer Jensen Huang, Chief Financial Officer Colette Kress, and Head of Investor Relations Toshiya Hari.

According to the brokerage, Nvidia executives said demand for AI computing infrastructure remains strong, pointing to constrained compute availability, rising rental prices for legacy GPUs, expanding enterprise AI adoption, and cloud agreements signed at premium pricing.