According to @EmberCN, decentralized compute tokens, with a collective market cap of $12 billion, may be significantly undervalued compared to their centralized peer CoreWeave (CRWV), which boasts a $79.2 billion valuation despite recent net losses. The analysis highlights that decentralized networks like BitTensor, Aethir, and Render (RNDR) offer a more capital-efficient model by connecting existing GPU power to users, avoiding massive infrastructure costs. In other major developments, Polygon (MATIC) is undergoing a strategic revamp as co-founder Sandeep Nailwal takes over as CEO, reorienting the project towards its AggLayer cross-chain liquidity protocol and retiring the zkEVM network. Additionally, SRM Entertainment, which is rebranding to TRON Inc., has staked its entire 365 million TRX treasury in a move to provide equity investors with indirect exposure to TRON (TRX), similar to MicroStrategy's Bitcoin strategy. Finally, the new generative AI platform Sogni AI has launched its mainnet and is listing its native token, SOGNI, on Kraken, MEXC, and Gate.io, presenting a new trading opportunity.

According to @CryptoMichNL, decentralized compute tokens, with a collective market cap of $12 billion, appear significantly undervalued compared to centralized AI infrastructure firms like CoreWeave (CRWV), which boasts a $79.2 billion market cap. Despite CRWV posting a $314.6 million Q1 net loss, its stock is up 300% year-to-date, trading at over 15 times forward sales, as per the source. In contrast, functional decentralized networks like BitTensor, Aethir, and Render (RNDR) offer similar GPU services with a more capital-efficient model but lack the same speculative premium. In other market-moving news, SRM Entertainment's plan to stake its entire 365 million TRON (TRX) treasury provides a bullish catalyst for the asset. Furthermore, major corporations like Societe Generale are launching stablecoins on networks including Ethereum (ETH) and Solana (SOL), signaling strong institutional adoption. From a technical perspective, Bitcoin (BTC) is holding support around $107,000, with traders watching for a potential move to $115,000, while Ethereum (ETH) showed a strong V-shaped recovery from the $2,438 support level.

According to Hyperbolic Labs on Twitter, the company is now offering on-demand H100 GPUs at a competitive rate of $0.99 per hour, with options for both SMB and enterprise clients to secure reserved deals, 99.9% uptime, and savings of up to 70% compared to legacy cloud providers (source: Hyperbolic Labs, Twitter, May 28, 2025). This significant reduction in GPU costs is expected to accelerate AI model development and deployment, which can drive increased demand for crypto tokens related to AI and decentralized compute infrastructure, such as Render (RNDR) and Akash Network (AKT). Traders should monitor related cryptocurrencies for heightened volatility and potential upside, as more affordable GPU access could spur growth in blockchain-based AI solutions.

According to LuxAlgo, Elon Musk has publicly refuted recent reports that Oracle ($ORCL) is purchasing $40 billion worth of Nvidia ($NVDA) chips. This clarification directly affects trading sentiment for both NVDA and ORCL, as expectations around massive AI infrastructure investments are now being recalibrated. The news is likely to dampen short-term bullish momentum for Nvidia, a major player in AI chip manufacturing, and could shift trader focus to actual confirmed orders from data center clients. Crypto traders should note that reduced AI chip spending from major cloud players may slow the rollout of AI-driven blockchain integrations and decentralized compute infrastructure, which often rely on Nvidia hardware (Source: LuxAlgo via Twitter).

According to Sundar Pichai on Twitter, global AI adoption has accelerated dramatically, with monthly token processing across products and APIs jumping from 9.7 trillion to 480 trillion in just one year, representing a 50-fold increase (source: @sundarpichai, May 20, 2025). This unprecedented growth signals rising demand for AI-related infrastructure, driving increased activity in AI and blockchain integration projects. Traders should monitor AI-centric crypto tokens and blockchain solutions, as escalating AI workloads are likely to boost demand for decentralized compute and data storage platforms, potentially affecting token valuations and trading volumes.

According to Satya Nadella, Microsoft Discovery integrates a comprehensive tech stack utilizing AI agents to streamline scientific innovation, exemplified by the identification of a new coolant candidate that eliminates the need for forever chemicals (Source: @satyanadella, May 19, 2025). This advancement demonstrates AI’s real-world capabilities in scientific simulation and learning, which may drive increased demand for blockchain-based data validation and decentralized compute in crypto markets. As more scientific processes become digitized, the crypto sector could see heightened relevance for protocols supporting secure, transparent research data and AI-powered trading strategies.

According to @iamDCinvestor, the recent launch of Edge's Robotics OS significantly advances decentralized robotics by addressing scalability through local compute, blockchain-based training, and incentivization models (source: @iamDCinvestor on Twitter). Edge, a sector leader since 2013, leverages decentralized rails to enable real-time inference and secure, distributed robotic networks. This development is expected to drive new trading narratives in AI and crypto markets, as decentralized infrastructure becomes essential for next-generation robotics, potentially increasing demand for related crypto tokens and blockchain solutions (source: @iamDCinvestor).

According to Lex Sokolin (@LexSokolin), the current AI landscape is seeing a major shift as individuals can now combine computational resources to create large-scale models independently, without dependence on providers like Deepseek or Meta. This development enables genuine community-driven innovation, which is unprecedented and poses significant implications for the cryptocurrency market. Decentralized AI model creation could accelerate the adoption of blockchain-based compute protocols, potentially driving demand for tokens such as Render (RNDR) and Bittensor (TAO), which facilitate decentralized AI infrastructure (source: Lex Sokolin via Twitter, May 6, 2025).