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2 Jun 2026, 07:00

Arthur Hayes Bets $100K On Hyperliquid, Says HYPE Will Beat Solana By Year‑End

As Hyperliquid (HYPE) reaches new all-time highs (ATHs), Arthur Hayes has bet six figures that the token will continue to rally and outperform Solana (SOL) in the coming months. Related Reading: Bitcoin Trend That Has Held For 15 Years Shows When To Expect The Bottom And When $400,000 Will Happen Arthur Hayes Doubles Down On Hyperliquid On Sunday, BitMEX co-founder Arthur Hayes reaffirmed his bullish outlook for Hyperliquid, affirming that the token will outperform the leading cryptocurrencies by market capitalization. In an X post, he asked long-time Solana believer and Chairman of Forward Industries, Kyle Samani, to do “a gentleman’s charitable bet” on which token would have the best performance by the end of the year. “I put $100k on the line to a charity of your choice that HYPE outperforms any other current top ten crypto in USD terms from now until year end. Who is your champion?” Hayes stated. Samani accepted the deal, choosing Solana as HYPE’s competitor. Notably, the Forward Industries chairman has been publicly critical of Hyperliquid, previously alleging that “Building trust is antithetical to the way Hyperliquid operates” and calling it “Binance 2.0” regarding its regulatory status in the US. Hayes’s bet follows his conviction on HYPE’s future price action. He recently affirmed that Hyperliquid “should at a minimum overtake SOL before this bull run is over,” citing the performance of most top cryptocurrencies on short and mid-term timeframes. Earlier this year, he also asserted that the cryptocurrency could surge to $150 by August 2026, roughly 5x higher than its then-$30 price, even if the broader crypto market continues to perform weakly. Since then, the token has already surged nearly 2.4x, flipping Dogecoin (DOGE) to enter the top 10 cryptos by market capitalization, and continuing to reach new all-time highs over the past few weeks. HYPE To Rally To $163? Over the weekend, Hyperliquid broke past the $65 resistance and began a multi-day price discovery streak that has been developing since Friday. After breaking the $70 on Sunday, the cryptocurrency jumped nearly 6% to reach its latest all-time high of $74.18 on Monday morning. Amid this performance, market observer Ali Martinez retracted his previous warning about a potential top, noting that “HYPE continues to make new record highs, pushing deeper into price discovery.” Last week, the analyst shared the “unpopular opinion” that Hyperliquid had reached its market top after reaching its recent highs and printing sell signals on the TD Sequential daily and three-day charts. As reported by NewsBTC, Martinez had highlighted that HYPE was “approaching a critical resistance area while multiple indicators are flashing warning signs,” following its massive performance. He pointed out that the token was seeing a similar setup to the last two times TD Sequential sell signals appeared on HYPE’s chart, while the RSI and Chande Momentum Oscillator were also at overheated levels, which led to significant corrections. Related Reading: XRP Ledger Targets Flash Loan Attacks With New DeFi Security Proposal Based on that, he stated that Hyperliquid could still push toward $59 or slightly above $60 before momentum faded, warning that a rejection from that area could increase the chances of a retrace toward the $40 support. Now, the analyst noted that these sell signals have been invalidated, and shared potential price discovery rally targets of $97 and even $163, as momentum continues. As of this writing, HYPE trades at $71.8, a 16.8% increase in the weekly timeframe. Featured Image from Unsplash.com, Chart from TradingView.com

2 Jun 2026, 07:00

ECB Warns Stablecoins Risk Financial Stability and Dollar Dominance

ECB Executive Board member Isabel Schnabel warned today that stablecoins pose three systemic risks: bank runs, monetary policy disruption, and dollar dominance. The global stablecoin market stands near $300B, with USDT and USDC holding roughly 90% of total supply.

2 Jun 2026, 06:59

XRP Tumbles 4% to 15-Week Low Below $1.30 as Kalshi Files for Perpetual Futures

XRP News XRP finally lost the $1.30 floor that traders had defended for several weeks, sliding to fresh 15-week lows in a session marked by the heaviest selling volume of the day. The token fell fr...

2 Jun 2026, 06:58

Mt. Gox Moves $739M in Bitcoin as ETF Outflows Hit Record $3.45B and BTC Slides Below $71K

Bitcoin News Defunct Tokyo-based exchange Mt. Gox shifted a combined 10,422.65 BTC worth roughly $739 million in the early hours of Tuesday, marking its largest single transfer in months and its bi...

2 Jun 2026, 06:55

Bitfufu Reports Holding 1,794 BTC as Q1 Revenue Declines 6.8%

BitcoinWorld Bitfufu Reports Holding 1,794 BTC as Q1 Revenue Declines 6.8% Bitfufu, the cloud mining platform owned by Bitmain, disclosed in its first-quarter earnings report that it holds 1,794 Bitcoin on its balance sheet. The company reported total revenue of $72.7 million for the quarter, a decline of 6.8% compared to the same period last year. Revenue Breakdown and Core Operations The company’s revenue was primarily generated through two segments. Self-mining operations contributed $11.4 million, while hosting and other services brought in $3.8 million. The remainder of the revenue came from its cloud mining subscription sales, which remain the core of Bitfufu’s business model. The decline in overall revenue reflects broader market conditions and operational adjustments within the mining sector. Balance Sheet Strength and Bitcoin Strategy Bitfufu’s total assets, which combine cash holdings and digital assets, were valued at $141.5 million at the end of the quarter. The company’s decision to hold 1,794 BTC aligns with a growing trend among publicly reporting mining firms to retain mined Bitcoin rather than immediately liquidating it. This strategy often signals long-term confidence in Bitcoin’s value and can serve as a hedge against operational cost volatility. The disclosure provides investors with a clearer picture of the company’s financial health and its exposure to cryptocurrency price fluctuations. Implications for the Mining Industry Bitfufu’s earnings report arrives during a period of significant adjustment for Bitcoin miners, following the April 2024 halving event that reduced block rewards. The 6.8% revenue decline, while notable, is relatively moderate compared to some peers who have faced steeper drops. The company’s focus on maintaining a sizable Bitcoin treasury, alongside its cloud mining and hosting services, suggests a diversified approach to weathering the post-halving landscape. For investors and industry observers, the key takeaway is Bitfufu’s continued operational stability and its strategic commitment to holding Bitcoin as a core asset. Conclusion Bitfufu’s first-quarter results show a company navigating a challenging market with a clear strategy. The holding of 1,794 BTC, combined with a diversified revenue stream from self-mining and hosting, provides a foundation for future growth. The slight revenue decline is contextualized within the broader post-halving environment, making the company’s asset position a point of interest for those tracking institutional Bitcoin adoption. FAQs Q1: What is Bitfufu’s relationship to Bitmain? Bitfufu is a cloud mining platform that is owned and operated by Bitmain, one of the world’s largest manufacturers of Bitcoin mining hardware. Q2: Why did Bitfufu’s revenue decrease? The 6.8% decline in revenue to $72.7 million is attributed to the April 2024 Bitcoin halving, which reduced mining rewards, and ongoing market adjustments in the cryptocurrency mining sector. Q3: How does holding 1,794 BTC benefit Bitfufu? Holding Bitcoin on its balance sheet allows Bitfufu to benefit from potential future price appreciation and signals long-term confidence in the asset. It also provides a financial buffer against operational costs and market volatility. This post Bitfufu Reports Holding 1,794 BTC as Q1 Revenue Declines 6.8% first appeared on BitcoinWorld .

2 Jun 2026, 06:50

Startup XCENA raises $135M to solve AI’s hidden bottleneck: memory, not compute

BitcoinWorld Startup XCENA raises $135M to solve AI’s hidden bottleneck: memory, not compute Every time you ask an AI model a question, your request sets off a complex data relay race. Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then makes its way back — and that entire journey repeats for every single word the AI generates. The bottleneck is structural: it means routing through some of the most expensive and power-intensive chips in the industry on every single request. That inefficiency is exactly what XCENA, a four-year-old startup with offices in South Korea and the U.S., is trying to solve. The company has designed a chip that places compute capabilities much closer to DRAM — the fast, short-term memory chips that store data a processor is actively using — allowing routine data operations to be handled near memory, without the costly round trips between CPUs, GPUs, and memory. If it works at scale, the implications for AI infrastructure costs could be significant. Investors bet on a memory-first approach Investor enthusiasm around XCENA’s thesis is clear. The startup just raised $135 million in a Series B round at a valuation of $570 million, bringing its total funding to $185 million. The round was co-led by Seoul-based venture capital firms Altinum and IMM Investment, along with Corstone Asia and existing investors SBI Investment and Mirae Asset Capital. XCENA CEO Jin Kim, who co-founded the startup in 2022 alongside CTO Dohun Kim and CPO Harry Juhyun Kim, is a veteran of Samsung and SK Hynix — the memory giants that supply chips powering Nvidia’s GPUs. “CPUs and GPUs have both gotten smarter over the decades. Memory never did. XCENA wants to change that,” Kim said in an interview with Bitcoin World. “The recent rise in memory prices and related stocks points to a broader shift in AI infrastructure toward memory-centric architectures.” This month, the three companies that dominate the global memory chip market — Samsung, SK Hynix, and Micron — each crossed a trillion-dollar valuation for the first time, underscoring the growing importance of memory in AI workloads. How the MX1 chip works XCENA is betting its business on the thesis that “inference isn’t just a compute problem; it’s increasingly a memory scaling problem,” said Kim. The company’s chip, the MX1, connects to the CPU through CXL (Compute Express Link) — essentially a dedicated express lane between the processor and memory — processing data before it ever needs to leave the memory module. It brings compute to the data, not the other way around. The company claims that what used to require 10 servers could potentially run on just one. “While GPUs excel at matrix multiplication — the heavy math behind AI model training — much of the surrounding data orchestration, including preprocessing, KV cache management, and data caching, still runs on CPUs. Our chip handles those tasks directly within the memory module itself,” Kim said. KV cache management is the system that stores prior conversation context so a model doesn’t have to reprocess it — a critical function for inference workloads that becomes increasingly memory-intensive as models scale. Competitive landscape and timeline Demand for memory solutions has surged since the second half of last year, and the company believes the timing is working in its favor. Conversations with several global memory vendors are in early stages, though Kim declined to name them. The company’s ideal customers are hyperscalers spending tens of billions a year on AI infrastructure, where even a small gain in memory efficiency can mean hundreds of millions in savings. The MX1 is still a prototype. Mass production chips are scheduled to roll off Samsung’s foundry lines by the end of 2026, with the company expecting to generate revenue starting in 2027. While neural processing unit (NPU) makers are competing to challenge Nvidia for training workloads, XCENA is targeting the memory-intensive layer that sits underneath all of it. XCENA’s closest rivals include Astera Labs and Marvell, both Nasdaq-listed companies working on next-generation memory connectivity. Marvell is a large, established player already working in the same space, Kim said, adding that the differentiator comes down to intellectual property. “We have thousands of cores,” Kim said. Based on public specs, Marvell’s approach relies on a handful of general-purpose cores by comparison. Those cores are built on RISC-V — an open-source chip design blueprint — and optimized specifically for data processing, with each core deliberately kept small and efficient. Beyond the cores themselves, XCENA designs its own internal memory hierarchy, interconnect bus, and DRAM controller — a level of vertical integration that most chip companies, including larger rivals, typically outsource. Why this matters for AI infrastructure The core insight behind XCENA’s approach is that the cost of AI inference — the process of using a trained model to generate responses — is increasingly dominated by memory access rather than pure computation. As models grow larger and handle longer contexts, the amount of data that needs to be shuffled between memory and processors grows exponentially. By handling routine data operations directly within the memory module, XCENA’s chip could reduce both latency and power consumption, two of the biggest cost drivers in modern AI data centers. The company, which has more than 90 staff across offices in Pangyo, a tech hub outside Seoul, and in Sunnyvale, is also in conversations with international investors about additional funding. Conclusion XCENA’s $135 million raise signals strong investor confidence in a memory-centric approach to AI infrastructure. With a prototype in hand, mass production slated for late 2026, and a team of veterans from the world’s largest memory chipmakers, the startup is positioning itself to address a structural inefficiency that affects every AI workload. Whether it can deliver on its promise of reducing server requirements by a factor of ten will depend on the success of its MX1 chip in real-world deployments — but the market is clearly paying attention. FAQs Q1: What problem is XCENA trying to solve? XCENA aims to eliminate the costly round trips between memory, CPUs, and GPUs that occur during every AI inference request. By placing compute capabilities directly within memory modules, the company hopes to reduce latency, power consumption, and infrastructure costs. Q2: When will XCENA’s chip be available? The MX1 is currently a prototype. Mass production is scheduled to begin on Samsung’s foundry lines by the end of 2026, with revenue expected to start in 2027. Q3: Who are XCENA’s main competitors? XCENA’s closest competitors are Astera Labs and Marvell, both of which are publicly traded companies working on next-generation memory connectivity solutions. Marvell is a larger, established player in the space, while XCENA differentiates itself with a highly parallel architecture using thousands of RISC-V cores. This post Startup XCENA raises $135M to solve AI’s hidden bottleneck: memory, not compute first appeared on BitcoinWorld .