The post Spheron Completes First $SPON Token Buyback and Burn Amid Ongoing $SPON Buyback Program appeared on BitcoinEthereumNews.com. For $500K at an FDV (Fully Diluted Value) of $80M, Spheron repurchased 0.625% of the whole $SPON supply from its compute providers as part of this first cycle. In order to guarantee long-term stability and profitability, Spheron’s Secure Compute Flywheel architecture will continue to execute token buybacks using network revenues and then burn tokens. The first $SPON token buyback and burn under its Secure computing program was successfully completed, according to Spheron, a community-powered AI compute stack. This action fits with Spheron’s larger goal of establishing a deflationary cycle that makes the token stronger as network use increases. For $500K at an FDV (Fully Diluted Value) of $80M, Spheron repurchased 0.625% of the whole $SPON supply from its compute providers as part of this first cycle. The tokens will be permanently burnt as they are received. In order to guarantee long-term stability and profitability, Spheron’s Secure Compute Flywheel architecture will continue to execute token buybacks using network revenues and then burn tokens, directly connecting network activity and compute demand with token scarcity. In order for Spheron’s Secure Compute method to function, providers must collateralize GPUs with $SPON and give customers with discounted rates. The Spheron Foundation uses the excess margins created during times of strong demand to repurchase $SPON at or above its launch floor value. As network use increases, the deflationary pressure created by the permanent burning of all repurchased tokens makes the token stronger. Prashant Maurya, Co-founder and CEO of Spheron stated: “Our first $SPON buyback shows real impact, linking decentralized compute usage to tokenomics. Every workload on Spheron powers AI innovation while making $SPON scarcer, stronger, and more valuable. This is a true alignment between compute providers, developers, and the community to ensure sustainable network growth.” Spheron is still the industry leader in decentralized AI infrastructure, with over 44,000… The post Spheron Completes First $SPON Token Buyback and Burn Amid Ongoing $SPON Buyback Program appeared on BitcoinEthereumNews.com. For $500K at an FDV (Fully Diluted Value) of $80M, Spheron repurchased 0.625% of the whole $SPON supply from its compute providers as part of this first cycle. In order to guarantee long-term stability and profitability, Spheron’s Secure Compute Flywheel architecture will continue to execute token buybacks using network revenues and then burn tokens. The first $SPON token buyback and burn under its Secure computing program was successfully completed, according to Spheron, a community-powered AI compute stack. This action fits with Spheron’s larger goal of establishing a deflationary cycle that makes the token stronger as network use increases. For $500K at an FDV (Fully Diluted Value) of $80M, Spheron repurchased 0.625% of the whole $SPON supply from its compute providers as part of this first cycle. The tokens will be permanently burnt as they are received. In order to guarantee long-term stability and profitability, Spheron’s Secure Compute Flywheel architecture will continue to execute token buybacks using network revenues and then burn tokens, directly connecting network activity and compute demand with token scarcity. In order for Spheron’s Secure Compute method to function, providers must collateralize GPUs with $SPON and give customers with discounted rates. The Spheron Foundation uses the excess margins created during times of strong demand to repurchase $SPON at or above its launch floor value. As network use increases, the deflationary pressure created by the permanent burning of all repurchased tokens makes the token stronger. Prashant Maurya, Co-founder and CEO of Spheron stated: “Our first $SPON buyback shows real impact, linking decentralized compute usage to tokenomics. Every workload on Spheron powers AI innovation while making $SPON scarcer, stronger, and more valuable. This is a true alignment between compute providers, developers, and the community to ensure sustainable network growth.” Spheron is still the industry leader in decentralized AI infrastructure, with over 44,000…

Spheron Completes First $SPON Token Buyback and Burn Amid Ongoing $SPON Buyback Program

  • For $500K at an FDV (Fully Diluted Value) of $80M, Spheron repurchased 0.625% of the whole $SPON supply from its compute providers as part of this first cycle.
  • In order to guarantee long-term stability and profitability, Spheron’s Secure Compute Flywheel architecture will continue to execute token buybacks using network revenues and then burn tokens.

The first $SPON token buyback and burn under its Secure computing program was successfully completed, according to Spheron, a community-powered AI compute stack. This action fits with Spheron’s larger goal of establishing a deflationary cycle that makes the token stronger as network use increases.

For $500K at an FDV (Fully Diluted Value) of $80M, Spheron repurchased 0.625% of the whole $SPON supply from its compute providers as part of this first cycle. The tokens will be permanently burnt as they are received. In order to guarantee long-term stability and profitability, Spheron’s Secure Compute Flywheel architecture will continue to execute token buybacks using network revenues and then burn tokens, directly connecting network activity and compute demand with token scarcity.

In order for Spheron’s Secure Compute method to function, providers must collateralize GPUs with $SPON and give customers with discounted rates. The Spheron Foundation uses the excess margins created during times of strong demand to repurchase $SPON at or above its launch floor value. As network use increases, the deflationary pressure created by the permanent burning of all repurchased tokens makes the token stronger.

Prashant Maurya, Co-founder and CEO of Spheron stated:

Spheron is still the industry leader in decentralized AI infrastructure, with over 44,000 nodes, $100M+ in distributed computing, $16M ARR, and a worldwide community of over 400,000 people. The core of this ecosystem is still the $SPON token, which acts as a conduit for governance and transactions and is now a deflationary asset reinforced by network adoption.

A recurrent cycle that guarantees suppliers are compensated, customers get inexpensive computing power, and token holders profit from a declining supply is initiated by this buyback-and-burn. It supports Spheron’s long-term goal of a self-reinforcing, sustainable, and community-owned compute economy.

The biggest community-powered computing stack for AI, Web3, and agentic applications in the world is being built by Spheron Network; it is decentralized, verifiable, and controlled by creators rather than the cloud. Spheron is enabling a new generation of on-chain AI and computational infrastructure, powering market leaders like Sentient, Open Gradient, Kuzco, and Gensyn.

Spheron is more than a simple compute protocol. It is the first decentralized AI infrastructure stack that has been tried and proven with real products, clients, and revenuee—all of which are community-owned and powered. The network has more than 44,000 nodes spread over 170 geos, has more than $100M in distributed compute, and is expanding quickly.

Source: https://thenewscrypto.com/spheron-completes-first-spon-token-buyback-and-burn-amid-ongoing-spon-buyback-program/

Market Opportunity
Spheron Network Logo
Spheron Network Price(SPON)
$0.00372
$0.00372$0.00372
-1.45%
USD
Spheron Network (SPON) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

MFS Releases Closed-End Fund Income Distribution Sources for Certain Funds

MFS Releases Closed-End Fund Income Distribution Sources for Certain Funds

BOSTON–(BUSINESS WIRE)–MFS Investment Management® (MFS®) released today the distribution income sources for five of its closed-end funds for December 2025: MFS®
Share
AI Journal2025/12/23 05:45
BlackRock boosts AI and US equity exposure in $185 billion models

BlackRock boosts AI and US equity exposure in $185 billion models

The post BlackRock boosts AI and US equity exposure in $185 billion models appeared on BitcoinEthereumNews.com. BlackRock is steering $185 billion worth of model portfolios deeper into US stocks and artificial intelligence. The decision came this week as the asset manager adjusted its entire model suite, increasing its equity allocation and dumping exposure to international developed markets. The firm now sits 2% overweight on stocks, after money moved between several of its biggest exchange-traded funds. This wasn’t a slow shuffle. Billions flowed across multiple ETFs on Tuesday as BlackRock executed the realignment. The iShares S&P 100 ETF (OEF) alone brought in $3.4 billion, the largest single-day haul in its history. The iShares Core S&P 500 ETF (IVV) collected $2.3 billion, while the iShares US Equity Factor Rotation Active ETF (DYNF) added nearly $2 billion. The rebalancing triggered swift inflows and outflows that realigned investor exposure on the back of performance data and macroeconomic outlooks. BlackRock raises equities on strong US earnings The model updates come as BlackRock backs the rally in American stocks, fueled by strong earnings and optimism around rate cuts. In an investment letter obtained by Bloomberg, the firm said US companies have delivered 11% earnings growth since the third quarter of 2024. Meanwhile, earnings across other developed markets barely touched 2%. That gap helped push the decision to drop international holdings in favor of American ones. Michael Gates, lead portfolio manager for BlackRock’s Target Allocation ETF model portfolio suite, said the US market is the only one showing consistency in sales growth, profit delivery, and revisions in analyst forecasts. “The US equity market continues to stand alone in terms of earnings delivery, sales growth and sustainable trends in analyst estimates and revisions,” Michael wrote. He added that non-US developed markets lagged far behind, especially when it came to sales. This week’s changes reflect that position. The move was made ahead of the Federal…
Share
BitcoinEthereumNews2025/09/18 01:44
Foreigner’s Lou Gramm Revisits The Band’s Classic ‘4’ Album, Now Reissued

Foreigner’s Lou Gramm Revisits The Band’s Classic ‘4’ Album, Now Reissued

The post Foreigner’s Lou Gramm Revisits The Band’s Classic ‘4’ Album, Now Reissued appeared on BitcoinEthereumNews.com. American-based rock band Foreigner performs onstage at the Rosemont Horizon, Rosemont, Illinois, November 8, 1981. Pictured are, from left, Mick Jones, on guitar, and vocalist Lou Gramm. (Photo by Paul Natkin/Getty Images) Getty Images Singer Lou Gramm has a vivid memory of recording the ballad “Waiting for a Girl Like You” at New York City’s Electric Lady Studio for his band Foreigner more than 40 years ago. Gramm was adding his vocals for the track in the control room on the other side of the glass when he noticed a beautiful woman walking through the door. “She sits on the sofa in front of the board,” he says. “She looked at me while I was singing. And every now and then, she had a little smile on her face. I’m not sure what that was, but it was driving me crazy. “And at the end of the song, when I’m singing the ad-libs and stuff like that, she gets up,” he continues. “She gives me a little smile and walks out of the room. And when the song ended, I would look up every now and then to see where Mick [Jones] and Mutt [Lange] were, and they were pushing buttons and turning knobs. They were not aware that she was even in the room. So when the song ended, I said, ‘Guys, who was that woman who walked in? She was beautiful.’ And they looked at each other, and they went, ‘What are you talking about? We didn’t see anything.’ But you know what? I think they put her up to it. Doesn’t that sound more like them?” “Waiting for a Girl Like You” became a massive hit in 1981 for Foreigner off their album 4, which peaked at number one on the Billboard chart for 10 weeks and…
Share
BitcoinEthereumNews2025/09/18 01:26