DeepBrain Chain Progress Report #81 01.16–01.31

  • Separated the GPU and CPU API backend interface, with the backend to add parameters to the data into the database by class;
  • Modified the CPU page redundant function error reporting and content display incorrect problem;
  • Changed the style operation life cycle of hidden information from mount to beforeMount;
  • Made the list of stopped machines displayable;
  • Added mirror tag parameters to fix front and back-end data matching errors;
  • Modified the page error reporting problem, add header and footer for the renewal order details page;
  • Completed the lease renewal function for GPU and CPU, and can now sort the query in the backend database;
  • Fixed the page error reporting caused by undefined parameters;
  • Optimized the accuracy in getting DBC when renting GPU and CPU;
  • Fixed the problem of enable GPU button always loading;
  • Separated GPU and CPU orders and put them in different forms in the database, other types of orders can also be added in the future;
  • Fixed the problem of stopped machines not displayed;
  • Updated the required domain names for the front and backend in the official environment;
  • Ran-through re-opening to GPU and CPU interfaces;
  • Fixed order list file names and directories;
  • Finished renewing CPU and GPU related functions, including order query, order creation, Paypal order payment, DBC transfer, and saving orders in the database by category;
  • Optimized the accuracy when getting DBC when renting GPU and CPU;
  • Fixed ‘enable GPU’, ‘stop GPU’ interface data, fixed and added initial data when the data is stored in the corresponding database’
  • Fixed the problem of parameter error when refunding the rental GPU and CPU;
  • Fixed the data returned by all interfaces so that they can be accurately returned to the front-end according to the original data returned by the dbc backend, and added the checksum processing when the returned data protocol of the dbc backend may change;
  • Implemented the staking inflation function and conducted local tests;
  • Realize cross-module change of reward parameters and kept an interface for realizing reward distribution function;
  • Build an internal mainnet test network and passed local tests;
  • The participation of multiple community testers for node creation testing in the service area;
  • Writing and improving the documentation in English and Chinese;
  • Assisted miners to bring online 100 GPUs
  • Ongoing GPU performance optimization
  • Near 16,500 DBC Network AI users were registered as of 24:00 GMT on January 31st, 2021, Beijing time. The DBC Network continues to grow steadily ;
  • Active participation of community investors in testing the super node functionality of the DBC testnet;
  • Continuing to explore GPU customers in AI, cloud gaming, autonomous driving and other fields, while starting to investigate potential customers in genetic testing, biopharmaceuticals and other fields to continuously expand the DBC computing network application scenarios;
  • Over 200 3080 and 2080ti GPU added to the DBC GPU network;
  • More than 500 GPUs lined up waiting to join the DBC GPU network;
  • Still looking for GPUs to join our network, for a monthly based lease, requirements as follow:
    3.1 GPU hardware: 2080TI/3080/3090
    3.2 RAM: 192g per GPU
    3.3 SMP CPU (above v3, AMD has priority)
    3.4 System disk 100g (SSD), data disk at least 1T (SSD) or system disk 600g (SSD), data disk 500g (HDD)
    3.5 Network bandwidth: for single machine: 20M or more, or an average of 10M between shared machines
    3.6 Independent and fixed IP
    3.7 Machine has to be placed in a standard data center

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DeepBrainChain

DeepBrainChain

DeepBrain Chain-building the most important computing infrastructure in the era of AI + Metaverse