SET provides computing power solutions
for AI and blockchain

The world's first distributed network dedicated to recycling idle Mac computing power · Let every Apple chip release the value of the Web3 era
  • We provide them with
    services

    Our services are recognized by internationally renowned companies

    AWS Cloud Architecture Director

    SET's MAC computing network is seamlessly integrated with our EC2 instances, helping us reduce computing latency by 15% during peak AI reasoning tasks. This sustainable computing power source is a perfect fit for AWS's green cloud computing initiative.

    Google Cloud AI Team

    When training large-scale language models, computing power requirements grow exponentially. SET's distributed MAC computing power pool allows us to flexibly schedule additional computing resources at a cost 22% lower than traditional GPU clusters. We plan to integrate their computing nodes on Google Kubernetes Engine (GKE).

    Distributed Computing Researcher at OpenAI

    Low-latency computing power is crucial in RLHF experiments. SET's global MAC node network enables us to quickly deploy small inference clusters in different regions, significantly reducing data round-trip latency. SET computing power model may become an important part of future AI training infrastructure.

    Technical Director of F2Pool

    Traditional ASIC mining machines face high energy consumption and heat dissipation issues, and SET's MAC computing network provides an environmentally friendly alternative. After testing, we found that SET's equipment is 18% more energy efficient than traditional mining farms on the SHA-256 algorithm, and there is no need for additional cooling costs. This is very attractive for mining pools.

    Edge Computing Manager, NVIDIA

    Outside of CUDA optimization scenarios, many parallel computing tasks can be efficiently processed by distributed CPU clusters. SET's MAC computing network proves this. Their equipment performs well in some matrix operations and may form a complementary computing ecosystem with NVIDIA's Grace Hopper super chip in the future.

    Accenture

    When deploying private AI models for customers, sudden computing power demands often lead to budget overruns. SET's on-demand leasing model allows enterprises to temporarily call on thousands of MAC devices to avoid long-term investment in fixed hardware. This model has been verified in the financial and medical industries, saving an average of 34% in computing power costs.

  • SET three-level computing power engine system
    Solve three major pain points

  • 01/

    Blockchain confirmation + machine learning load monitoring, patented heat dissipation solution extends equipment life by 30%

  • 02/

    SET's patented heat dissipation solution extends the life of the equipment by 30%, and its energy conversion rate reduces the power consumption per T of computing power by 3.2 times compared to traditional mines.

  • 03/

    AI training and crypto mining face a growing computing power gap. SET can provide flexible computing power gap supplementation.

  • Your Mac is creating value24H/7DNow put it to work for you!

    Every day, millions of Mac devices around the world are in a dormant or low-load state. But did you know?

    Your MacBook Pro, iMac, or Mac mini all have powerful computing potential.

  • Device ModelChipTFLOPSApplicable
  • MacBook Air M1Apple M12.6 (CPU+GPU)Lightweight AI reasoning small blockchain nodes
  • MacBook Pro M1Apple M12.6 (CPU+GPU)Same as Air, but with better heat dissipation and higher stability
  • MacBook Pro M2Apple M23.6 (CPU+GPU)Medium AI training, cryptographic hashing
  • Mac mini M2Apple M23.6 (CPU+GPU)Continuous computing tasks, suitable for 7x24 operation
  • Mac 24" M1Apple M12.6 (CPU+GPU)Graphics rendering, distributed storage nodes
  • Mac Studio M1 MaxM1 Max10.4 (CPU+GPU)High-performance AI reasoning, 3D rendering
  • Mac Studio M2 UltraM2 Ultra24.0 (CPU+GPU)Large-scale parallel computing, blockchain mining pool supplement
  • About Us

    Leading the Way in Crypto Trust with WebtrixLeading the Way in Crypto Trust with Webtrix Leading the Way in Crypto Trust

    Team members

    Core members from AWS / Apple / Google / blockchain fields

    Ryan Carter | CEO
    Elena Rodriguez | CTO
    Sophia Chen | Chief Architect
    Michael Okafor | Blockchain Lead
    David Park | COO
    Priya Desai | Security Engineer

    Ryan Carter | CEO

    Leading the design of Google's distributed computing platform architecture, managing 2000+ node clusters. PhD in Computer Science from Stanford University, focusing on edge computing resource scheduling Responsible for overall strategy and partner ecosystem at SET. 

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