GPU

After Donald Trump, widely recognized as one of the most loyal supporters of cryptocurrencies, officially became President of the USA, the cryptocurrency market reacted with a surge. Bitcoin demonstrated an impressive bullish trend that began last November and allowed the price to briefly surpass the $100,000 mark, reaching nearly $110,000. However, at the beginning of 2025, the upward momentum weakened, and the BTC rate declined to around $80,000.#MiningCrypto

Aethir hasn't had news for a while, turns out they were preparing something big. Today, I'm continuing to track this potential project that I've followed for over a year!
Aethir @AethirMandarin has formed an AI Unbundled alliance, simply put, it's a group of top talents in the Web3 and AI fields teaming up, let's take a look at what this is all about:

Their goal is also very straightforward; starting an AI venture is too difficult now, lacking computing power, data, and tools, small teams simply cannot operate. The alliance aims to integrate all these resources, providing a one-stop solution for AI projects from upstream computing supply, data processing, to downstream product development and market promotion, paving the way for more people to innovate in AI within Web3.

In the rapidly evolving tech landscape, GPU NET stands at the forefront of a transformative computing revolution. Far from being just another startup, it’s a visionary platform reimagining how computational power is accessed, distributed, and utilized globally. Led by physicist Suraj Chawla—who built India’s first Nvidia DGX server and managed significant trading volumes for DFYN—GPU.net champions the idea that compute is the future's most critical commodity, powering AI and blockchain technologies alike.
The year 2024 marked a turning point for GPU NET. With a $5.25 million Series A funding round and over $10 million in revenue, its growth is undeniable. The company’s decentralized approach to harnessing idle GPU capacity worldwide has resulted in innovative, cost-effective solutions. Their GPU Rental decentralized app provides access to high-performance GPUs like H100 and 4090 at prices far below traditional providers like AWS. Today, over 5,300 global nodes and 250 public validators power their network, with the unique Queen Staking model offering an impressive 200% APR, drawing investors and tech enthusiasts alike.
Strategic partnerships with Nvidia, CDAC, Yotta, Northern Data, G42, and other global leaders have fueled their expansion. GPU.net’s ambitious roadmap includes a token generation event in early 2025, agentic compute nodes, and the establishment of over 50 global data centers. Plans to explore GPU-backed ETFs and expand into emerging markets further solidify their vision.
More than a tech solution, GPU NET is democratizing computational power, making AI and Web3 accessible to innovators worldwide. Its transparent, scalable, and community-driven platform catalyzes a fundamental shift in how computational resources are utilized. Validation from firms like Momentum6 and BlackDragon, along with recognition from leading tech influencers, underscores GPU NET’s impact.
As AI evolves and blockchain technologies mature, GPU NET leads the charge toward a decentralized, accessible future. With sustainability and a halving era in sight by 2030, the company is paving the way for a more collaborative and efficient computing era. The compute revolution has arrived, and GPU NET is driving it forward.
#GPUNET #GPUMining #DecentralizedCompute #GPU

The Web3 community is very open, experimental, and often supports projects that attempt to advance computer science research. However, one area where we do not do well is the clarity of thought or communication. This article aims to help explain the necessary conditions for deploying AI models on smart contracts.
In simple terms: after reading this article, you should have a straightforward intuition about what is possible as of October 2024 and what remains to be addressed.
Has AI been brought on-chain? If not, what is missing?
Smaller models can also achieve on-chain AI, but current limitations in memory, computational power, and consensus mechanisms hinder the effective deployment of large AI models like LLMs on the blockchain, just as one would expect if they were deployed on traditional cloud servers.