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Jane Street, CoreWeave Ink $6B AI Compute Deal

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Crypto Breaking News

CoreWeave, a publicly traded AI cloud infrastructure provider, announced a $6 billion deal with quantitative trading firm Jane Street to power its trading and research operations with CoreWeave’s AI-focused cloud compute. In a separate move, Jane Street bought $1 billion worth of CoreWeave Class A common stock at $109 per share. The news lifted CoreWeave’s stock modestly, with shares trading around $119.04 after the announcement and up about 1.5% for the session, according to Yahoo Finance.

The agreement arrives just days after CoreWeave revealed a partnership with Anthropic to run Claude AI models on its infrastructure, underscoring the company’s rapid pivot from crypto mining to high-performance AI compute.

CoreWeave’s strategic shift, which has positioned the company as a leading player in what Bernstein researchers describe as the “neocloud” — GPU-powered cloud services tailored for AI workloads — highlights how miners and crypto-focused operators are repurposing assets to tap growing demand for AI computing power in a climate of tightening crypto margins.

Key takeaways

  • Jane Street’s $6 billion AI cloud agreement with CoreWeave signals robust demand for GPU-accelerated compute in quantitative trading and research.
  • The $1 billion equity investment at $109 per share cements a long-term alliance and injects strategic capital into CoreWeave’s expansion.
  • Market reaction was modest but positive, with CoreWeave’s shares rising about 1.5% to the low-$120s range after the news.
  • The Anthropic deal, announced a week earlier, reinforces CoreWeave’s role as a preferred compute backbone for leading AI developers powering large language models like Claude.
  • Analysts at Bernstein describe CoreWeave as a standout in the neocloud space, supported by a diversified revenue base and prominent AI model providers already using its platform.

Jane Street’s AI compute pact: scale, scope, and implications

At the core of the announcement is a multi-year, multi-facility arrangement in which Jane Street will leverage CoreWeave’s data-center footprint to run its trading and research workloads. The announcement notes that compute will be sourced from several CoreWeave facilities, illustrating a broad deployment rather than a single-site reliance. While terms other than the $6 billion compute commitment remain undisclosed, the scale signals Jane Street’s intent to anchor its research and execution capabilities in a GPU-optimized cloud environment tailored to AI and data-intensive tasks.

The arrangement aligns with a broader industry trend where quantitative trading desks increasingly seek cloud-native, GPU-accelerated infrastructure to run complex simulations, backtests, and AI-driven research. CoreWeave has positioned itself as a fit-for-purpose provider in this space, differentiating itself from traditional cloud players by focusing on high-performance GPU workloads that underpin modern AI and ML models.

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According to CoreWeave’s own disclosure, the collaboration will leverage the company’s emerging neocloud framework, which Bernstein describes as GPU-driven cloud services built specifically to power AI workloads. This is a key element in understanding why major AI and finance players are gravitating toward CoreWeave: the underlying compute is designed for the heavy lifting demanded by model training, inference, and data-intensive research tasks.

Equity investment deepens the alliance

In conjunction with the compute deal, Jane Street also expanded its stake in CoreWeave by purchasing $1 billion of Class A common stock at $109 per share. The combination of a sizable equity investment and a long-term compute agreement not only strengthens Jane Street’s access to CoreWeave’s hardware and software stack but also signals confidence in CoreWeave’s ability to scale its AI cloud offerings across diverse customer segments.

Market observers will watch how this equity infusion influences CoreWeave’s capital structure and growth trajectory as it accelerates its data-center expansion and product development efforts. The immediate stock move—while modest—reflects investor recognition of a potentially meaningful shift in CoreWeave’s revenue mix toward AI compute contracts alongside on-demand services.

AI compute and the neocloud thesis

CoreWeave’s pivot from crypto mining to AI cloud computing began years before many peers embraced AI-centric infrastructure. Analysts from Bernstein have highlighted CoreWeave’s ahead-of-the-curve positioning in the “neocloud” segment, a term they use to describe GPUs-based cloud providers optimized for AI workloads. The firm’s assessment suggests that CoreWeave has developed a high-quality commercial base relative to competitors such as IREN and Nebius, with a diversified mix of contract-based and on-demand revenue streams.

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Among the evidence cited by Bernstein is CoreWeave’s widespread adoption among leading AI model providers. The company has stated that nine of the top 10 AI model developers now leverage its platform, reflecting deep engagement across the AI ecosystem. This broad footprint helps explain the market’s receptivity to the Jane Street deal and the Anthropic partnership, collectively reinforcing CoreWeave’s central role in the AI compute market.

The Anthropic collaboration, announced just days before the Jane Street deal, positioned Claude AI, Anthropic’s flagship model, to run on CoreWeave’s infrastructure. That partnership mirrors a broader industry pattern: AI developers are seeking dependable, scalable compute backbones capable of handling the demanding workloads of large-language models as they scale commercially.

For observers, these developments highlight a meaningful shift in the capital allocation and strategic priorities of AI infrastructure players. CoreWeave’s ability to translate early-mover advantages in the neocloud niche into multi-faceted revenue streams — including long-term compute commitments and equity stakes from major customers — could help it navigate a competitive landscape that features both traditional cloud giants and specialized GPU-focused operators.

From crypto mining to AI compute: what changes, what remains uncertain

CoreWeave’s transformation reflects a broader trend in which crypto-mining infrastructure operators repurpose assets to support high-performance computing and AI workloads. The company’s narrative has shifted from crypto mining to AI compute leadership, a move that appears to be gaining traction given the scale of the deals and the caliber of customers joining its ecosystem. Earlier reporting in the industry has highlighted this transition as a strategic hedge against crypto market volatility and shrinking margins.

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Industry observers have pointed to CoreWeave’s long-standing emphasis on GPU-accelerated workloads as a differentiator, positioning it to capture a growing share of enterprise AI compute demand. Bernstein’s analysis suggests that CoreWeave’s commercial machine stands out among neocloud peers, a dynamic that could sustain growth as AI adoption accelerates across finance, tech, and enterprise segments. Still, several uncertainties linger: how deeply CoreWeave’s reliance on marquee clients extends, how competition evolves among GPU-centric cloud providers, and how macro shifts in AI model licensing and deployment affect long-term demand for dedicated AI compute capacity.

For investors and builders, the key takeaway is that CoreWeave’s dual-track strategy — large-scale compute agreements with premier trading firms and strategic equity partnerships with those same customers — could yield a more resilient revenue base. The company’s continued expansion of data-center capacity, its ability to attract top AI developers, and its execution in the neocloud niche will be critical to watch as AI workloads continue to escalate in scale and sophistication.

What to watch next

Market participants will be watching how CoreWeave scales its data-center footprint to accommodate increasing demand from both financial services and AI developers. The pace of expansion, the retention of high-profile customers, and the company’s ability to maintain favorable terms across long-duration compute contracts will be important indicators of its trajectory. Additionally, any further partnerships in the AI space and potential updates on the rollout of Claude and other models on CoreWeave’s infrastructure will help clarify how the neocloud thesis plays out in practice. Investors should monitor regulatory developments around AI compute, potential shifts in cloud pricing, and how CoreWeave’s balance sheet evolves as it funds growth through both debt and equity financings.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Bitget slashes latency as it leans into ‘universal exchange’ push

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Parsec shuts down after 5 years as crypto volatility claims another platform

Bitget rebuilt its core trading systems to cut order‑processing latency by up to 40%, a move it pitches as the technical backbone for its Universal Exchange strategy that blends crypto and TradFi under one account.

Summary

  • Bitget rebuilt its core trading systems, cutting order‑processing latency by up to 40% across the platform.
  • The upgrade targets more stable execution for large and complex orders during volatility, supporting Bitget’s Universal Exchange (UEX) strategy.
  • CEO Gracy Chen says UEX aims to unify crypto and traditional assets under a single account system as tokenized markets scale toward the trillions.

Bitget has completed a major overhaul of its trading infrastructure, claiming it has cut order‑processing latency by as much as 40% in a bid to make the exchange more competitive for high‑frequency and derivatives traders as it pivots toward a “universal” trading model. The upgrade, announced on April 15, 2026, restructures Bitget’s matching engine and account‑system modules and applies to all users, including Bitget PRO clients and market‑making firms.

According to the company, the revamp improves response speeds from order submission through to execution and is specifically designed to “significantly enhance the execution stability of large orders and complex trading strategies during periods of market volatility.” That kind of resilience can be critical when liquidation cascades or macro shocks drive order books thin, a point Bitget has stressed as it promotes itself as a venue that can handle institutional‑scale flows in both crypto and tokenized TradFi products.

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The latency upgrade slots into Bitget’s broader Universal Exchange, or UEX, strategy, which seeks to integrate crypto, tokenized real‑world assets and traditional financial markets under a unified account system. In a UEX white paper co‑authored with Bitget’s research team, CEO Gracy Chen said the goal is to “eliminate the fragmentation of asset access” and create a single platform where users can move between on‑chain assets, U.S. stocks, FX and other instruments without shifting venues or collateral.

Chen has argued that the future of exchanges “will not hinge on whether they provide crypto or traditional assets, but rather on how successfully they blend both,” framing Bitget’s interface and infrastructure upgrades as preparation for a world where tokenized assets and conventional markets sit side by side. Earlier this year, Bitget and security firm BlockSec introduced a UEX‑specific security standard that shifts the focus from individual‑asset protection to “system‑level” resilience across unified margin and settlement layers, reflecting the higher stakes of running multi‑asset infrastructure on shared rails.

Nansen research on Bitget’s institutional push has highlighted the exchange’s focus on low‑latency APIs, high rate limits of up to 200 requests per second and maker‑taker structures aimed at professional market participants, all of which stand to benefit from faster and more predictable matching. For active derivatives traders, the newest upgrade is a signal that Bitget wants to fight on the same execution terrain as larger venues, in a year when the race to capture flows from both the $2.4 trillion digital‑asset market and a traditional finance stack nearing $900 trillion in notional exposure is intensifying.

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In previous crypto.news coverage of centralized exchange upgrades, tokenized real‑world assets and the CLARITY Act’s impact on market structure, matching‑engine performance has been framed as the quiet backbone that determines whether an exchange can survive stress events and support the next wave of institutional adoption, a role Bitget clearly wants its new infrastructure to play in this story, this story and this story.

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Hormuz Oil Bitcoin: China Tests Blockade

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Bitcoin, Ethereum, Dogecoin, and new utility protocols

Hormuz oil bitcoin dynamics shifted Tuesday as the Rich Starry, a Chinese-owned, U.S.-sanctioned tanker, slipped through the Strait of Hormuz in the first known breach of the U.S. naval blockade, sending WTI crude to $90.4 a barrel on April 15.

Summary

  • The Rich Starry, owned by Shanghai Xuanrun Shipping, passed through the Strait carrying 250,000 barrels of methanol loaded at the UAE port of Hamriyah, not an Iranian port.
  • WTI crude fell 0.88% to $90.4 per barrel on Wednesday as the crossing and diplomatic signals eased immediate supply pressure.
  • Bitcoin has closely tracked oil prices since the conflict began in February, and crude holding below $95 could support BTC breaking above the $76,000 resistance it has failed three times.

Hormuz oil bitcoin markets have a new variable to price in. The Rich Starry crossed the Strait on Tuesday carrying methanol loaded at a UAE commercial port, not from an Iranian facility. That technical distinction likely explains why no confrontation occurred. U.S. Central Command had clarified that its blockade covers vessels to and from Iranian ports only. “CENTCOM forces will not impede freedom of navigation for vessels transiting the Strait of Hormuz to and from non-Iranian ports,” the command said in a statement.

WTI crude sits at $90.4 a barrel as of Wednesday morning, down sharply from the $103 spike logged when the blockade was first announced. That matters directly for bitcoin.

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The blockade has been tested from its opening hours. Maritime intelligence firm Windward identified at least two vessels transiting the Strait in the first 24 hours of enforcement. The Rich Starry’s sanctioned status, flying a Malawi flag despite being Hong Kong-registered, using a spoofed AIS transponder, and departing UAE anchorage is the clearest signal yet that the shadow fleet built to circumvent sanctions is still functioning.

China’s Foreign Ministry called the blockade “dangerous and irresponsible,” urging parties to “abide strictly” to the ceasefire. Roughly 40% of China’s oil supply transits the Strait, giving Beijing a structural interest in keeping it open regardless of Washington’s pressure on Tehran.

The Oil-BTC Equation and What $90 Unlocks

Bitcoin has closely tracked oil prices throughout the conflict. BTC dropped into the low $60s when Iran first closed the Strait in late February. It rallied to $72,700 when the April 7 ceasefire was announced. Every diplomatic signal or supply relief has produced a corresponding BTC move.

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“When Iran closed the Strait of Hormuz, Bitcoin dropped into the low $60s alongside everything else,” Tesseract Group’s Head of Commercial Adam Saville Brown noted in a recent analysis. The reverse is equally true: oil at $90 versus $103 removes the energy inflation narrative that has kept rate cut expectations suppressed and risk appetite compressed.

What Has to Hold for This to Matter

WTI at $90 puts crude below the $95 level analysts have flagged as the threshold where energy inflation stops crowding out Fed pivot expectations. If that level holds through the April 22 ceasefire expiry and into the April 28 FOMC meeting, bitcoin’s macro backdrop improves meaningfully. The IMF cut its 2026 global growth forecast to 3.1% from 3.3%, citing energy costs as the primary driver, making any sustained oil decline a catalyst with broad market implications.

Bitcoin sits at $74,000 after three failed breakout attempts at $76,000. The supply of crowded shorts has not unwound. A durable move in oil toward $85 to $90 could provide exactly the external catalyst that internal derivatives signals have been waiting on.

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Bitcoin Hitting Resistance After Rally to $76K: CryptoQuant

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Bitcoin Hitting Resistance After Rally to $76K: CryptoQuant

Bitcoin deposits to crypto exchanges surged on Tuesday as it rallied above $76,000, suggesting it is hitting “near-term selling pressure” as investors move their coins into a position for sale, according to CryptoQuant.

In a report on Wednesday, CryptoQuant said the size and rate of Bitcoin (BTC) inflows to exchanges have increased since the rally, with hourly inflows spiking to 11,000 BTC, the highest since December.

CryptoQuant said it is a “historically reliable warning signal of near-term selling pressure, as holders move coins to exchanges in preparation for potential distribution at key resistance zones.”

It added that the average deposit size also increased to 2.25 BTC, the highest since July 2024, and similar to January, when average deposits peaked at 2 BTC before the price nearly halved from $100,000 to $60,000.

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Crypto investors have been hoping for a Bitcoin rally as the war in Iran appears to be de-escalating. However, a large shift of Bitcoin into crypto exchanges could suggest any rally would be short-lived. 

TradingView shows Bitcoin hit $76,052 on Coinbase on Tuesday, securing its highest price since early February

However, CryptoQuant said that as Bitcoin nears its $76,800 realized price, it will act “as a ceiling for relief rallies,” and traders who are nearing breakeven on their holdings will be “incentivized to sell, capping further upside.”

It added that Bitcoin’s rally in January was capped as it hit its realized price at the time, which caused prices to reverse, and “the same dynamic may repeat if selling pressure builds from current levels.”

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Bitcoin is nearing its realized price (purple line), with a lower band at $67,600 serving as near-term support. Source: CryptoQuant

Related: Ether open interest sees 26% increase as markets rally: Are traders into ETH again?

However, CryptoQuant said that profit-taking is “still in its early stages” as daily realized profits hover at $500 million, below the threshold of $1 billion that has “historically coincided with, or slightly preceded, local price tops.”

Daily realized profits could move above the $1 billion mark if Bitcoin rallies above $76,000 or moves toward the $76,800 realized price, CryptoQuant said, adding that could bring greater selling pressure and increase the likelihood of a stall or reversal.

Magazine: Bitcoin may take 7 years to upgrade to post-quantum — BIP-360 co-author