In the artificial intelligence sector (AI), the demand for computing resources is highly performance, especially the GPUS processing units, high. This demand works to form new boundaries for decentralized material infrastructure projects (DePin), which focuses on decentralization to graphics processing units.
These platforms facilitate the broader web 3 and provide an effective cost alternative to traditional cloud services.
What are the best projects of GPU-PowerHouse Depin?
Work through several main stages-collection of treatment and treatment, typical training, control, and typical reasoning-these platforms support a wide range of artificial intelligence applications. These applications include deep learning, autonomous leadership, robots and other use.
Layer encryption researcher Notes DePin projects can provide GPU “more 4 times cheaper” than giants such as Google cloud and Amazon Web Services (AWS).
Layergg highlights six leading projects in this field.
- Show (RNDR) It features a fully diluted evaluation (FDV) of $ 4.8 billion and more than 1,000 graphics processing units.
- I.NET (IO) It has more than 22,000 graphics processing units and FDV 4.5 billion dollars.
- (ATH) He has a GPU capacity of 40,000 and FDV of $ 3.3 billion.
- Akt (AKT) FDV has $ 1.4 billion and 400 graphics processing units.
- NetMind (NMT) He has 1956 graphics processing units and $ 1 billion FDV.
- Nosana (NOS) FDV has $ 360 million and 500 graphics processing units.
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The decentralized computing model provides a great cost, which makes it an attractive choice for Amnesty International/ Automated learning Institutions that struggle with the high costs of the resources of graphics processing unit. Thus, there is an increased concentration on mathematical energy as the basic bottleneck for artificial intelligence.
However, challenges such as transparency in GPU’s authority claims raised concerns. This indicates a wider issue of credibility and accountability in the decentralized computing space.
“It is Cepin … not DePin if you can’t really prove your GPU number on the series,” cash.
Despite these challenges, the possibility of no central platforms to control the market is still high. Moreover, another analyst, Prithevir believes that among the projects, ATHir, Akash and IO.NET are better placed. However, it is noted that Akash, although he is brave in space, is facing challenges in expanding her ability to treat graphics compared to her counterparts.
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In terms of market dynamics, IO and ATH are seen as high -level performance.
“I think IO and ATH can see huge runs. I think these can be similar deals for Silicia. He said.
Disintegration
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