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Nvidia Extends its Reach Into Self-Driving

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Nvidia has signed a series of new deals with automakers as takeup of the AI giant’s self-driving tech gathers momentum.

CEO Jensen Huang, at the vendor’s GTC conference this week, confirmed four new partners for Nvidia’s “robotaxi-ready” platform: South Korea’s Hyundai, Nissan of Japan, and Chinese autonomous vehicle companies BYD and Geely.

“The ChatGPT moment of self-driving cars has arrived,” Huang said in a conference keynote.

Specifically, the new deals will see BYD, Geely and Nissan develop programs to deliver Level 4 automated driving functionality, as defined by the Society of Automotive Engineers, built on Nvidia’s Drive Hyperion. Level 4 is considered to be when a vehicle is in charge of the driving in defined scenarios and circumstances.

Drive Hyperion is Nvidia’s production-ready compute and sensor architecture, which serves as a platform for automakers and developers to build and test their own software, as Nissan is doing with U.K. AI firm Wayve.

Related:US Startup to Build South Korea’s Biggest AI Data Center

Nvidia’s agreement with the Hyundai Motor Group is more extensive and is effectively an expansion of existing collaborations.

The Korean automaker will also use Nvidia Drive Hyperion to develop a scalable autonomous driving stack — but this will range in functionality from Level 2+, essentially advanced driver assistance, most likely on Hyundai and Kia-badged passenger cars, to more advanced Level 4 robotaxi services through the group’s Motional subsidiary. Motional is already operating commercially in Las Vegas, having launched there with Uber this week.

Nvidia, meanwhile, confirmed an expansion of its own robotaxi ambitions in tandem with Uber, targeting the launch of a fleet of autonomous vehicles entirely powered by its full-stack Nvidia Drive software across 28 cities and four continents by 2028, with Los Angeles and the San Francisco Bay Area leading the way in 2027.

This fleet will also tap into Nvidia’s Alpamayo open model and Halos OS, which provides a safety framework. Alpamayo was originally unveiled at the CES conference this year, but GTC introduced an upgrade that allows it to learn even more effectively from unpredictable events. The model uses driving videos, navigation guidance, and natural language prompts as inputs to generate driving trajectories with reasoning.

Away from automobiles, Japan’s Isuzu is working with Tokyo-based AI startup Tier IV on Level 4 autonomous bus development using the Nvidia Drive AGX Thor system-on-a-chip, which is part of Nvidia Drive Hyperion.

Although Nvidia does not make self-driving vehicles itself, it’s clear that the company is positioning itself as integral to their continued development, as Huang said.

Related:Meta Spends Another $27B on AI Infrastructure With Nebius

“The autonomous vehicle revolution is here — the first multitrillion-dollar robotics industry. Everything that moves will eventually be autonomous,” he said.

 

 

 

Crypto Fear & Greed Index Rises as $2B in Liquidity Enters Markets

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The Crypto Fear & Greed Index remained at 26 on Wednesday, after rising to 28, a day earlier, ending the indicators’ 48-day stretch in the “extreme fear” zone.

The Crypto Fear & Greed index tracks market sentiment using volatility, momentum, volume, and social data. Any reading below 25 signals extreme fear, while higher values reflect an improving risk appetite.

Crypto Fear & Greed Index. Source: alternative.me

The index reading points to an improvement in market sentiment this week, marking its first exit from extreme fear in over six weeks.

The move coincides with a recovery in the total crypto market capitalization, which has added 7.65% in March, equivalent to roughly $174 billion. This marks the first monthly bullish expansion since September 2025. Before this, the market declined nearly 40%, dropping to $2.28 trillion from $3.65 trillion in the previous five months.

Cryptocurrencies, Ethereum, Bitcoin Price, Adoption, Markets, Cryptocurrency Exchange, Price Analysis, Stablecoin, Market Analysis, Altcoin Watch, Liquidity
TOTAL/USD one-month chart. Source: Cointelegraph/TradingView

Market researcher Sminston With provided additional context to the Fear & Greed index.

With said that an analysis of the past Bitcoin market cycles shows that buying BTC during fear phases delivered stronger returns over a two to four-year window.

The average gains reached 331% over three years, compared to 100% for BTC entries made during the greed phases. However, over longer time periods (four to five years), the return differences narrowed, with both the entry strategies converging as Bitcoin’s long-term growth trend dominated the price action.

Cryptocurrencies, Ethereum, Bitcoin Price, Adoption, Markets, Cryptocurrency Exchange, Price Analysis, Stablecoin, Market Analysis, Altcoin Watch
Bitcoin Fear & Greed index buy analysis. Source: Sminston With/X

Related: SOL price signal tied to previous 142% rally flashes again: Are the bulls back?

A rise in stablecoin inflows signals liquidity return

Binance exchange flow data shows a shift in capital movement. Binance recorded a $2.2 billion inflow in Tether USDt (USDT) on March 18, marking the largest single-day stablecoin deposit since November 2025.

Cryptocurrencies, Ethereum, Bitcoin Price, Adoption, Markets, Cryptocurrency Exchange, Price Analysis, Stablecoin, Market Analysis, Altcoin Watch
Binance multi-asset netflow. Source: CryptoQuant

These inflows represent the available capital, often referred to as “dry powder,” that can be deployed into the crypto markets. The spike coincided with Bitcoin pushing into higher price levels near $75,000 on Monday, linking the liquidity injection with active trader positioning.

Meanwhile, the total stablecoin reserves across exchanges surged to $68.5 billion from a six-month low of $64 billion on March 8, marking a sharp increase of 7%, within a short period.

Cryptocurrencies, Ethereum, Bitcoin Price, Adoption, Markets, Cryptocurrency Exchange, Price Analysis, Stablecoin, Market Analysis, Altcoin Watch
All stablecoins exchange reserves. Source: CryptoQuant

A rise in exchange-held stablecoins typically signals that participants are preparing to deploy funds into spot or derivatives markets. This indicates that traders are re-entering with the intent to take positions, adding to near-term buying capacity.

Related: Australian crypto shopping surges, but so do banking blocks: Survey