Dmytro Kharkov

Nvidia stock slips 1.8% as ByteDance accesses Blackwell chips

Nvidia stock slips 1.8% as ByteDance accesses Blackwell chips
ByteDance gained access to Nvidia’s advanced Blackwell chips overseas

Competitive pressure in the tech segment tends to intensify. As of March 13, Nvidia stock is trading at $182.63, down 1.8% over the past 24 hours. Strong demand for AI accelerators prevents bears from establishing the consistent down trend.

Highlights

  • Nvidia stock slipped 1.8% to $182.63 and trades in a consolidation range after recently approaching the $195 resistance level.
  • Technical indicators show support at $177–$180, with the major demand near $170 in case of further correction.
  • ByteDance is deploying Nvidia’s Blackwell chips in overseas AI infrastructure confrims continued global demand for the company’s next-generation processors.

Nvidia shares are trading in a consolidation phase after reaching a recent high near $195 in late February. The stock has moved into a close range as investors start taking profits after a strong multi-month rally. The latter lifted shares more than 58% over the past year. Such consolidation means position adjustments before the market decides with the next directional move.

The immediate support zone lies between $177 and $180. This has repeatedly attracted buyers during recent pullbacks. This level held during the early March decline when the stock corrected towards $177 before rebounding toward the current range. Below that, a key support band sits near $170. It corresponds to the rising 200-day moving average and February consolidation lows. It makes it an important medium-term floor for institutional demand.

Nvidia shares price performance (January 2026 – March 2026). Source: TradingView.

On the upside, the key resistance area remains $190–$195, where the latest rally stalled. A breakout above $195 may restore bullish momentum and open the path toward $205 and even the yearly high near $212. Momentum indicators remain broadly positive, with Nvidia stock still trading above its 50-day and 100-day moving averages. Declining trading volume during the pullback suggests the recent move is more consistent with consolidation than a trend reversal.

ByteDance expands Blackwell infrastructure outside China

Chinese technology giant ByteDance continues its AI infrastructure expansion by integrating Nvidia’s latest Blackwell chips in data centers outside China. According to a Wall Street Journal report, the TikTok owner is working with Southeast Asian cloud provider Aolani Cloud on the project of a major computing cluster in Malaysia that utilizes Nvidia’s B200 chips.The project involves at least 500 Nvidia Blackwell computing systems, totalling around 36,000 B200 chips. Aolani Cloud is also purchasing the servers from Aivres, a company that assembles high-performance systems using Nvidia chips. The scale of the initiative reflects the computing power required for modern AI training and inference workloads, especially for companies developing large generative models.

Chinese technology companies are adapting to the new U.S. export restrictions on advanced AI chips. While Nvidia is prohibited from selling its advanced processors directly to China, firms such as ByteDance are building AI data centers overseas. Earlier reports indicated the company is also operating facilities with B200 chips in Indonesia. The expansion supports ByteDance’s ambition to compete globally in artificial intelligence.

Price outlook points to $200 retest scenario

Nvidia’s short-term trajectory depends on whether the $177–$180 support zone will be able to hold. If buyers defend this range, the stock will remain within a consolidation channel before attempting another breakout.

Under a bullish scenario, Nvidia could move back toward the $190 level within the following weeks. A confirmed break above $195 would likely cause buying and push the stock toward the $205–$212 range, close to the yearly highs.

Nvidia is developing NemoClaw that allows enterprises to deploy AI agents capable of performing tasks such as data analysis and workflow management. This will expand Nvidia’s role in the AI ecosystem beyond hardware into enterprise AI infrastructure.

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