Interhash Launched AI Compute for Mining Operations, Extending Infrastructure Beyond Bitcoin

Colombian President Gustavo Petro stressed that the future of bitcoin mining must be ecological, as countries with abundant green energy, including Paraguay and Venezuela, are attracting investments in the sector. He also warned about the consequences of using fossil fuels to power this activity. President Petro Highlights Venezuelan and Paraguayan Potential For Energy Mining Cryptocurrency […]

TeraWulf’s HPC lease revenue jumped 117% quarter-on-quarter to $21 million, but a $427 million net loss highlights the costs of transitioning from Bitcoin mining to AI infrastructure.

Publicly traded Bitcoin miner and data center operator TeraWulf reported a hefty net loss in Q1 as its AI revenue took over from BTC.

TeraWulf’s Q1 2026 results show $21 million in AI/HPC hosting revenue versus under $13 million from Bitcoin mining, marking the first quarter where high‑performance compute has overtaken BTC as the company’s primary revenue driver. TeraWulf’s latest earnings show its business…

Anthropic says it’ll use all the AI compute capacity from SpaceX’s ‘Colossus 1’ data facility in Memphis.

The protocol is designed to improve GPU performance as AI compute ramps up.

Is Ayni Gold safe? Walking through the audits, custody architecture, and mining operations verification behind the production-linked DeFi protocol.

The ongoing shift from generative AI (genAI) to agentic AI provides an opportunity for enterprises to move to more nimble and less expensive forms of computing, according to analysts. Early AI models were largely built on expensive GPUs from Nvidia and AMD that offered raw processing power. But newer agentic AI tools, rooted in business process and workflow management, can run on more efficient, cost-effective hardware. As a result, IT decision-makers who still think they require GPUs for anything AI-related need to reconsider their hardware options in terms of both cost and capabilities, analysts said. “A better way of thinking about this is the cost of AI compute and now agentic AI platform services or systems,” said Leonard Lee, principal analyst at Next Curve. “’AI computing’ or ‘accelerated computing’ has clearly transcended the GPU as an inference accelerator.” The new hardware options include CPUs and specialized AI chips, also known as ASICs in semiconductor parlance. Although