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Tuboleta


Tuboleta Pass Tuboleta Te Lleva Pásala Inicia sesión ES EN

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MARA hosts executive fireside on digital infrastructure and AI as it pivots beyond Bitcoin mining


MARA hosts executive fireside on digital infrastructure and AI as it pivots beyond Bitcoin mining

Marathon Digital Holdings is no longer content being known as a Bitcoin mining company. The firm hosted a live Executive Fireside event today focused on digital infrastructure, AI and high-performance computing, and energy, signaling just how far its strategic identity has shifted in recent months.

The event featured MARA executives laying out the company’s transformation into what it now describes as a versatile digital energy and infrastructure platform.

The Long Ridge bet and MARA’s growing power empire

At the center of MARA’s pivot is its acquisition of Long Ridge Energy & Power for approximately $1.5B. That deal is expected to boost the company’s owned power capacity by 65%, a staggering increase that repositions MARA as a serious player in the energy infrastructure space rather than just a consumer of cheap electricity for hash rate.

The Long Ridge acquisition targets an initial build-out of 200 MW dedicated to AI and HPC workloads by mid-2028, with expansion potential reaching up to 600 MW.

After factoring in recent acquisitions, MARA now claims a total power portfolio of 1.8 to 2.2 GW. The company currently operates 1.1 GW of what it calls “flexible compute capacity,” meaning infrastructure that can be dynamically shifted between different workloads depending on where the best returns are at any given moment.

CEO Fred Thiel has emphasized that dynamic allocation of power across multiple compute workloads is critical for maximizing returns.

AI inference racks and strategic partnerships

MARA has already deployed AI inference racks at its North Central Texas data center, giving the company a working proof of concept as it courts hyperscale customers and AI workload providers.

The company has also established a partnership with Starwood Digital Ventures and holds a 64% stake in Exaion. Together, these relationships allow MARA to optimize how it uses power assets for AI and hyperscale computing while still maintaining its Bitcoin mining operations.

MARA’s executive engagement on these themes isn’t new. The company has previously hosted discussions with prominent leaders including Mastercard’s EVP of AI and Siemens USA’s CEO.

What this means for investors

The investment thesis here is straightforward but carries real complexity in execution. MARA is arguing that its existing Bitcoin mining infrastructure, specifically its massive power procurement capabilities and data center operations, gives it a structural advantage in serving AI and HPC demand.

The diversification angle matters too. Bitcoin mining revenues are inherently volatile, tied to Bitcoin’s price and the network’s difficulty adjustments. Adding AI and HPC contract revenue, which tends to be more predictable and often comes with longer-term agreements, could smooth out MARA’s earnings profile in a way that pure-play miners simply cannot achieve.

The mid-2028 timeline for Long Ridge’s initial 200 MW AI build-out means investors are being asked to price in returns that are still two years away. The dynamic power allocation strategy also introduces operational complexity, as different compute types require different hardware, cooling configurations, and network architectures.

Investors should watch closely for details on contracted AI revenue, customer commitments at Long Ridge, and any updates on the Exaion stake’s contribution to the overall business.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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The post MARA hosts executive fireside on digital infrastructure and AI as it pivots beyond Bitcoin mining appeared first on azeritimes.com.


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在昆士兰大学 (The University of Queensland) 就读是怎样的一 …


昆士兰大学Bachelor of Arts(BA)有60多个细分方向,这也是澳洲大学中最详细的BA学位,包括历史,人文,语言,教育,语言,音乐,哲学等等。 完全满足学生对于文学专业的需要。 同时,人文与社会科学学部学部下设7个学院,包括: