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TeraWulf's shares skyrocket following Google's increase in equity to 14%, as they secure a $3.2 billion investment deal

Google boosts ownership of Bitcoin miner and data center operator TeraWulf from 8% to 14%, leading to a 5% surge in TeraWulf's stock; motivation behind Google's substantial investment remains unclear.

TeraWulf's stocks surge following Google's increase in ownership to 14%, valued at $3.2 billion in...
TeraWulf's stocks surge following Google's increase in ownership to 14%, valued at $3.2 billion in a transaction deal

TeraWulf's shares skyrocket following Google's increase in equity to 14%, as they secure a $3.2 billion investment deal

Google has made a strategic investment of $3.2 billion into TeraWulf, a company specialising in high-performance computing. This move comes as TeraWulf's NVIDIA GPU infrastructure, originally designed for cryptocurrency mining, is being repurposed to meet the surging computational demands of AI workloads, specifically for Google's AI and machine learning engine, Gemini.

The dual-use nature of NVIDIA GPUs is a key factor in this partnership. TeraWulf's clusters contain GPUs such as the RTX 4090 and RTX 6000 Ada, which are well-suited for both cryptocurrency mining and AI. These GPUs have large VRAM and Tensor Cores optimized for AI computations, making them ideal for Google Gemini’s machine learning tasks.

Another advantage is the cost-effectiveness of using repurposed cryptocurrency mining hardware for AI. As mining GPUs become obsolete relatively quickly (within 1.5 to 3 years), AI and machine learning workloads can leverage this otherwise underutilized hardware, creating efficient compute clusters.

Google's investment also signals confidence in TeraWulf’s evolving business model. TeraWulf has secured long-term agreements with AI cloud platforms like Fluidstack to provide over 200 MW of computing power. This expansion will significantly boost AI hosting capacity and reliability.

The shift from Bitcoin mining towards AI hosting and GPU leasing offers TeraWulf higher profit margins. AI computing profits can reach approximately 98%, compared to approximately 75% for mining. This aligns with Google's goal to secure scalable and efficient AI infrastructure for Gemini.

In the second quarter of 2024, TeraWulf announced a commitment to purchasing a 128-GPU cluster from NVIDIA, further solidifying its partnership with the tech giant.

In a joint effort to advance AI and tokenization, the U.K and Singapore have also agreed to join forces. This collaboration could potentially open up new opportunities for TeraWulf and Google in the future.

In conclusion, Google's investment in TeraWulf's NVIDIA GPU infrastructure allows it to leverage specialized, scalable GPU clusters that are well-suited for AI and machine learning workloads, helping to power Gemini’s advanced computing needs while supporting TeraWulf’s pivot from crypto mining to high-performance AI computing.

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