Bittensor (TAO) has emerged as one of the market’s strongest performers this month, rallying roughly 73% over the past 30 days even as larger cryptocurrencies staged a more modest recovery. NVIDIA Nod Fuels TAO Rally Market analyst Alex Carchidi argues that a key catalyst was public recognition from a major tech figure. NVIDIA CEO Jensen Huang recently acknowledged decentralized AI training — the core use case Bittensor champions — as a practical approach after hearing about the project’s latest technical milestone. Related Reading: US Labor Department Eyes 401(k) Crypto Access, Bitcoin Considered In New Rule The analyst asserted that the endorsement amplified investor interest in the Bittensor blockchain by validating the concept that training large language models (LLMs) can be accomplished outside centralized data centers. Bittensor’s most recent achievement centers on its Templar subnet, which reportedly trained Covenant‑72B, a 72‑billion‑parameter LLM, through a decentralized collaboration involving more than 70 contributors using commercially available hardware. That accomplishment is noteworthy because large‑scale model training normally requires substantial capital and tightly controlled infrastructure; proving such a model can be trained in a distributed manner lends credibility to Bittensor’s thesis that subnets can marshal meaningful compute to build economically valuable services. Bittensor At Risk If Subnets Don’t Scale Carchidi also points to TAO’s tokenomics as a potential upside factor. The chain’s supply dynamics partially resemble Bitcoin’s (BTC), a design Cardichi finds appealing for long‑term appreciation if the network continues to produce in‑demand services. Still, he cautions that the project faces a critical shortcoming: so far, its subnets have not demonstrated robust, sustainable demand that translates into meaningful external revenue. The current economics underline that concern. The protocol’s distribution of newly minted TAO results in the top subnet receiving roughly $52 million in annualized subsidies from the chain, while that subnet brings in at most about $2.4 million in outside revenue. Across the entire Bittensor network, demand‑side revenue ranges from approximately $3 million to $15 million a year, set against a token market capitalization near $3.3 billion. Cardichi concluded that those figures create what he deems as “a valuation mismatch” that could put TAO’s price at risk if the subnets fail to scale revenue significantly. Key Price Levels To Watch Technical levels add another layer to the outlook. TAO was trading around $308 at the time of writing, with immediate resistance positioned near $315 after failing to consolidate above it during last week’s rally. Related Reading: XRP Price Alert: Expert Predicts $0.80 On Bitcoin’s Potential Retreat To $60,000 Analyst Ali Martinez had previously outlined a key conditional scenario for the Bittensor token. Should the support level of $315 hold, the rally could extend towards $580. This makes the $315 level one of the most important to reclaim right now. However, last week’s inability to breach mid‑term resistance at $378 contributed to the pullback to $308, leaving TAO almost 60% below its all‑time high of $757. Featured image from OpenArt, chart from TradingView.com
Bittensor’s TAO ripped higher on Thursday and topped in early European trading on Friday after Nvidia CEO Jensen Huang highlighted the project on the All-In podcast, pushing the token from $243.5 to $310.6 before it cooled to $298.1 by press time. The move put one of crypto’s most closely watched AI-linked assets back in focus, not because Huang endorsed the token directly, but because he treated the underlying technical milestone as meaningful in a much bigger debate over open AI infrastructure. The moment came when Chamath Palihapitiya pointed Huang to what he called a “pretty crazy technical accomplishment” inside “this crypto project called Bittensor.” He described a recent training run on Subnet 3 in which participants used distributed excess compute to train a Llama model “totally distributed” while still managing the process statefully. Nvidia CEO Responds To Bittensor’s Accomplishment Huang’s immediate reaction was brief but memorable: “Our modern version of Folding@home.” That line mattered because it effectively reframed Bittensor’s latest milestone in language traditional tech audiences already understand. Folding@home was one of the most recognizable examples of decentralized volunteer computers; Huang’s comparison suggested he viewed Bittensor’s experiment less as crypto theater and more as a legitimate expression of distributed coordination. Related Reading: Austin Arnold Unveils His Top 6 Crypto Altcoin Picks For 2026 In the context of TAO’s price action, traders appeared to read that as external validation from one of the most influential executives in AI hardware. Huang then widened the discussion beyond Bittensor itself and into the structure of the AI market. “I believe we fundamentally need models as first-class products, proprietary products, as well as models as open source. These two things are not A or B, it’s A and B. There’s no question about it,” he said. He followed that with an even sharper distinction: “Models are a technology, not a product. Models are technology, not a service.” Related Reading: Is Dogecoin About To Repeat NVIDIA’s Run? Here’s What The Chart Says He spent the next stretch explaining why that dual-track model matters. For general-purpose consumer use, Huang said most people will continue to prefer turnkey services rather than fine-tuning their own systems. “I would really, really love not to go fine-tune my own. I would really love to keep using ChatGPT. I love to use Claude. I love to use Gemini. I love to use X,” he said, arguing that this horizontal layer of AI products “is thriving” and “is going to be great.” On the @theallinpod this week, @chamath asked @nvidia CEO Jensen Huang about decentralized AI training, calling our Covenant-72B run “a pretty crazy technical accomplishment.” One correction: it’s 72 billion parameters, not four. Trained permissionlessly across 70+ contributors… pic.twitter.com/BN0tWG66e8 — templar (@tplr_ai) March 19, 2026 But he drew a hard line when it came to industry-specific deployment, saying domain expertise “has to be captured in a way that they can control,” and that “it can only come from open models.” That distinction goes to the heart of why Bittensor reacted so violently. While Huang didn’t make a token call, or presented Bittensor as the winner of open AI, he did endorse the coexistence of proprietary and open model ecosystems, while acknowledging that specialized industries will need more controllable, open foundations. At press time, TAO traded at $297.0 Featured image created with DALL.E, chart from TradingView.com
Decentralized blockchain network Bittensor and its native token, TAO, have shown significant upward momentum over the past month, consistently outperforming major cryptocurrencies such as Bitcoin and Ethereum across all time frames. Designed for decentralized finance (DeFi) applications, TAO has surged past the $400 mark, achieving nearly 45% gains in the last month alone and an impressive 695% increase year-to-date. Analysts are optimistic about the token’s future potential, especially given that TAO reached an all-time high of $757 earlier this year. Many market experts believe that TAO could approach this price level again before the year ends. Keys Behind The Bittensor Price Rally Technical analyst Altcoin Miyagi has commented on the recent price action, noting that Bittensor has quickly moved past liquidity zones and is nearing a key target of $450. He anticipates a brief correction and some volatility before the price continues its ascent towards $600. Miyagi also highlights the impending “artificial intelligence (AI) season,” which he believes will heighten investor interest in TAO and drive further price appreciation. This optimism is rooted in Bittensor’s goal to develop decentralized AI production. According to Bittensor’s official website, TAO is the decentralized currency that powers the production of AI within subnets. These interconnected subnets facilitate profitable interactions, allowing different AI entities to share and enhance each other’s capabilities. Related Reading: MicroStrategy’s Bitcoin Stash Exceeds 250,000 BTC Following Half-Billion Dollar Acquisition Supporting this bullish outlook, analyst Dread Bongo emphasizes the transformative impact of AI on various sectors, noting that the pace of change is accelerating rapidly. The analyst cites innovations from AI startups and established companies alike, including the recent launch of a record-breaking $30 billion fund by asset manager and crypto exchange-traded fund (ETF) issuer BlackRock and Microsoft aimed at bolstering AI infrastructure. Bongo believes that the AI sector, currently ranked #30 on CoinGecko, is significantly undervalued and poised for growth. He predicts that AI within the cryptocurrency space could rival established categories such as Layer 1 protocols, smart contracts, and stablecoins. With this context, Bongo argues that TAO is well-positioned to capture a significant share of the artificial intelligence market, setting the stage for potentially substantial future gains. Analysts Eye $1,000 Target For TAO Currently trading at $415, TAO has experienced a surge of over 43% in the past seven days and a 10% increase in the last 24 hours. Despite this performance, the token remains approximately 45% below its all-time high in April. Market analyst Crypto Pirates has noted that TAO has recently broken out of a 100-day consolidation period following its recent correction. After peaking, the token experienced a drastic decline, losing over 80% of its value and plummeting to as low as $163 during the broader market crash on August 5. However, according to Crypto Pirates, this ongoing breakout could signal the beginning of a major upward move for the TAO token. Related Reading: Ripple Whales Accumulate Over 380 Million XRP in Just 10 Days: Is A Breakout Near? Adding to the bullish sentiment, analyst EyeofCyber has expressed confidence that TAO could reach the $1,000 milestone as early as next week. He emphasizes that Bittensor is at the forefront of decentralized training, stating, “Everyone WANTS $TAO.” Despite this optimism, market behavior often includes corrections after strong price advances. Pullbacks may occur in the coming days, making it crucial for TAO to hold lower support levels to maintain the current bullish trend and achieve further price gains. Featured image from DALL-E, chart from TradingView.com