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Theta Labs Launches Hybrid Edge Cloud Architecture with Dynamic Supply-Demand GPU marketplace to Democratize Access to Computing

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[PRESS RELEASE]

New decentralized system delivers enterprise-grade AI computing at up to 70% lower cost by intelligently combining cloud and distributed resources

Theta Labs today announced the beta release of its hybrid edge cloud architecture for its Theta EdgeCloud network, a computing platform that combines traditional cloud-based GPUs with a distributed network of over 30,000 community-operated edge nodes. The platform is designed to provide cost-effective access to high-performance computing resources for AI model training and inference, video processing, financial modelling, and other GPU-intensive tasks. In this new release, a new decentralized GPU marketplace is introduced that keeps compute pricing competitive and transparent across the platform.

The hybrid architecture addresses a fundamental challenge in modern computing: the rising cost and limited availability of specialized hardware needed for AI and machine learning tasks. Traditional cloud providers charge premium rates for GPU access, often pricing out smaller research teams, startups, and academic institutions. By integrating distributed computing resources from community members alongside conventional cloud infrastructure, the platform will provide similar capabilities at significantly reduced costs.

A dynamic GPU marketplace for efficient compute routing

Theta EdgeCloud is a decentralized marketplace that connects the supply and demand for GPU computing power. It empowers anyone with idle GPUs to contribute their resources and earn rewards, while providing developers and AI teams with a scalable, cost-efficient platform for running containerized workloads.

The platform now allows customers to choose the most suitable infrastructure for different types of computing tasks. For instance, training a large AI model that requires substantial GPU vRAM can be directed to powerful cloud or data center based GPUs. In contrast, tasks like burst model inference workloads, which are inherently parallelizable, can be distributed across many community-operated gaming machines, providing a flexible and cost-effective alternative.

To ensure a fair and dynamic pricing model, Theta EdgeCloud allows node operators (the supply side) to set their own hourly rental rates. Meanwhile, users (the demand side) can select nodes that meet their performance requirements and budget constraints when launching workloads. This market-driven approach helps keep GPU compute pricing competitive and transparent across the platform.

The system includes backup mechanisms with automatic failover logic to reassign work if any community device goes offline, ensuring reliable completion of computing tasks across the heterogeneous network of GPU types.

Powering Leading Academic and Enterprise Customers

The platform currently serves customers including Stanford University, Seoul National University, KAIST, Yonsei University, the University of Oregon, Michigan State University, and NTU Singapore for academic AI research. Enterprise clients include major sports teams such as the NHL’s Las Vegas Knights, NBA’s Houston Rockets, and global esports teams FlyQuest and Evil Geniuses.

The beta release includes features requested by existing customers, including persistent storage for AI model training, improved job prioritization, and a developer API interface for job submission and analytics.

“The reality is that GPU costs have become prohibitive for many organizations doing important AI research,” said Jieyi Long, CTO of Theta Labs. “Universities are telling us they’re having to scale back projects or wait months for access to affordable computing resources. By tapping into the unused GPU power sitting in gaming computers and workstations around the world, we can deliver the same computational capabilities at a fraction of the cost. This means our partners at Stanford, KAIST, and other institutions can run more experiments, iterate faster, and push the boundaries of what’s possible in AI research without budget constraints limiting their ambitions.”

Technical Capabilities 

The hybrid architecture supports containerized computing tasks including AI model training and inference, video encoding and transcoding, 3D rendering, financial simulations, and scientific computing applications. The platform provides over 80 PetaFLOPS of distributed GPU compute power through its combination of cloud partnerships with Google Cloud and Amazon Web Services and its distributed edge network.

The EdgeCloud client node is a lightweight software package that enables community members to contribute their idle GPU capacity. Advanced job containerization ensures high-efficiency computation across different GPU types and specifications. To learn more about the EdgeCloud client software, please check out this link.

About Theta Labs

Theta Labs is the leading provider of decentralized cloud infrastructure for AI, media and entertainment powered by a global network of 30,000 distributed edge nodes and a native blockchain. Backed by Samsung, Sony, Bertelsmann Digital Media Investments and Creative Artists Agency, Theta is among the top 10 DePIN blockchains by market capitalization on Coingecko and top AI tokens on Binance.com. Theta’s enterprise validator and governance council is composed of global market leaders including Google, Samsung, CAA and Binance.

Recently launched Theta EdgeCloud is the first hybrid cloud-edge computing AI platform with over 80 PetaFLOPS of on-demand distributed GPU compute power. EdgeCloud now counts 25 global customers including 4 of the top 5 South Korea universities, top professional sports teams including NHL’s Las Vegas Knights, NBA’s Houston Rockets and global esports teams FlyQuest and Evil Geniuses among others.

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Cryptocurrency

CRO Explodes to 6-Month High, BTC Price Reclaims $118K: Weekend Watch

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Bitcoin’s gradual ascent after its Friday plunge to a two-week low continues as the asset has risen to just over $118,000 over the past 12 hours or so.

Although most altcoins are somewhat sluggish on a slow Sunday, a few have tapped multi-month peaks, such as Cronos (CRO).

BTC Taps $118K

Bitcoin’s latest all-time high, which took place on July 14, was followed by an expected correction and consolidation period. Within days, the asset slumped to under $120,000 and spent most of the next week trading sideways between that upper boundary and $117,000.

After a few rejections at $120,000, the bears took control and initiated a considerable leg down that pushed the cryptocurrency to a low of $114,500. This came as Galaxy Digital offloaded 80,000 BTC (valued at over $9 billion) for a third party.

Once the sell-off was completed, bitcoin’s price started to recover and jumped past $117,000 yesterday and up to $118,400 today. This meant that the asset has recovered four grand since the Friday low.

Its market capitalization has climbed to $2.350 trillion, while its dominance over the altcoins has stalled at 59.2%.

BTCUSD. Source: TradingView
BTCUSD. Source: TradingView

These Alts Are Pumping

Most altcoins are with minor gains today as well. Ethereum jumped to $3,800 earlier today after a 1-2% increase. Ripple’s native token is at $3.2 after a similar daily jump. BNB, SOL, DOGE, TRX, and ADA have charted similar gains as well.

SUI continues with its impressive run, having surged by another 6% and is well above $4.2. BCH and CRO have added over 5-6% in a day, which has helped the latter surge to a new six-month high of over $0.14.

The top performer among the largest 100 altcoins is HBAR. It has risen by more than 10% and now trades over $0.29.

The total crypto market cap has recovered another $30 billion and is up to $3.970 trillion on CG. The metric reached a multi-week low on Friday at under $3.870 trillion.

Cryptocurrency Market Overview. Source: QuantifyCrypto
Cryptocurrency Market Overview. Source: QuantifyCrypto
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Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.

Cryptocurrency charts by TradingView.

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Cryptocurrency

Ripple’s XRP Didn’t Make ChatGPT’s Top 5 Altcoin List: Here’s Why

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TL;DR

  • ChatGPT outlined five altcoins that could become the top performers by the end of the year, but omitted Ripple’s XRP.
  • In a follow-up post, the popular AI outlined its reasons for doing so.

 

Why Not XRP, ChatGPT?

Before we head into the AI’s answer, here’s the context. Yesterday, we published an article asking the top 4 AI chatbots (ChatGPT, Gemini, Grok, and Perplexity), which are their five altcoin contenders to outperform by the end of the year. While there were some speculative and surprising names, the last three AIs all included ETH and XRP – the two largest altcoins by market – in some form.

ChatGPT, however, left out Ripple’s native token, which is somewhat surprising given its performance since the US elections. Back then, it was in a multi-month consolidation phase with an upper boundary of $0.6. By January, it had skyrocketed to its 2018 ATH of $3.4. Then, it retraced in late Q1 and early Q2 before it exploded once again in July to a new record of $3.65.

It also has a considerable following, known as the XRP Army, which made ChatGPT’s answer even more surprising. Consequently, we doubled down on why it excluded Ripple’s coin. It stated that it based its answer on “performance outlook,” rather than on current market capitalization or historical performance.

It cited the lack of DeFi developments on Ripple’s XRP Ledger as one of the reasons why the token wasn’t included, which is a stark contrast to the Ethereum and Solana ecosystems (both of which made the list).

It also noted that the legal overhang of the case against the SEC still exists, even though both parties have mutually agreed that the lawsuit should be concluded. Judge Torres, though, continues to deny their joint petitions.

Lastly, OpenAI’s chatbot brought up previous market cycles, in which XRP lagged behind other altcoins:

XRP Tends to Lag Early in Bull Markets:

  • Historically, XRP pumps later than most other major altcoins.

  • In both 2017 and 2021 cycles, XRP’s explosive moves came toward the end, not the beginning.

  • So while it may perform well, it’s typically not a first mover.

It Could Still Pump

Although XRP wasn’t on ChatGPT’s top 5 list, unlike SOL, ETH, TON, SUI, and APT, the AI solution still acknowledged that Ripple’s asset could continue to rocket this year under more favorable conditions.

If the aforementioned lawsuit against the US securities watchdog officially ends with a positive outcome for Ripple, its native token is poised to benefit, said ChatGPT. Additionally, it expects the potential approval of a spot XRP ETF to give the underlying asset another price boost.

Experts and betting platforms like Polymarket put the odds for such products to see the light of day by the end of the year at up to 90%.

“XRP is not excluded because it’s weak — it’s excluded from the top 5 performance picks because other coins currently have stronger short-term narratives, faster capital rotation, or better retail excitement.

But rest assured: XRP is still a high-potential asset, and it may surprise everyone later in the cycle, especially if legal clarity and real utility ramp up,” concluded ChatGPT.

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Bitcoin to $1M? Corporate Treasury Boom Could Spark Dot-Com Level Mania

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At the time of this writing, Bitcoin (BTC) was trading just over $118,000, after recovering from a dip that took it to a two-week low at $114,500 on July 24.

But behind the relatively calm price action, a potentially explosive narrative is gathering steam. Proponents say we’re witnessing the most calculated supply shock in crypto history, and when the dust clears, the price of BTC could be headed for the $1 million mark.

The Million-Dollar Dream

As noted in a July 25 X post by Swan, a Bitcoin-only financial services provider, the current rally, which saw BTC hit a new all-time high recently, is different. It is deliberate, calculated, and rather underhyped.

“This is the least euphoric bull market we’ve ever seen,” Swan posted. “And that’s bullish.”

Their premise? Corporate treasuries and spot-exchange traded funds are quietly soaking up BTC through algorithmic “drip buys.” These aren’t degens gambling on meme coins but CFOs and CIOs diversifying balance sheets while retail sleeps.

“Each breakout removes coins from weak hands, then resets.”

Swan calls it “deliberate absorption,” and it’s keeping price action deceptively stable, at least for now. However, crypto influencer American HODL thinks the dam is about to burst. He believes that once enough corporate balance sheets start showing BTC as a strategic reserve asset, boardrooms around the world will scramble to keep up, just like they did during the internet boom in 1999.

“I think the treasury company bubble can get dot-com level large,” he said in a recent podcast. “We could see a 3–4 year run that takes Bitcoin well beyond a million dollars.”

Roadmap to $1 Million

To support their view, Swan researchers laid out a four-phase blueprint they believe is already in motion:

  • Quiet corporate absorption via algorithmic buys
  • Sovereigns stacking Bitcoin under the radar
  • Major treasury firms finalizing structures for maximum bidding
  • Narrative contagion that ignites a multi-year melt-up

“That’s the setup for a mania-fueled blow-off top pushing toward $1M Bitcoin,” the firm stated.

The flagship cryptocurrency rallied from $42,000 to $123,000 during a historic tightening cycle, and Swan is asking, what happens when cheap money actually returns? This is especially key, with potential mega-buyers like Nakamoto, Twenty One Capital, and Strive Asset Management, reportedly waiting in the wings, structuring SPVs and M&A deals before unleashing massive BTC bids.

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