DeepBrain Chain Progress Report #93 07.16–07.31

  • Fixed some bugs in the deployment of the Galaxy Race;
  • Optimized the loading speed of the Galaxy Race list display function;
  • Completed the development of the computing power details page, which is being tested;
  • Optimizing the Galaxy Race paging function;
  • Access to data on the computing power details page;
  • Post request to obtain the original information, verifier wallet to obtain the verification machine;
  • Development of Galaxy Race computing power details function, obtain online machine information on-chain made available and information saved to the database on a regular basis;
  • Query interface: according to the parameters provided GPU model, gpu_num. to obtain machine details;
  • Added paging query function, statistical machine information;
  • Added the management of cpu, gpu, mem and disk, determine whether the resources are sufficient when creating and starting, and return the error code;
  • Added the management of iptable rule items generated by port mapping of task, deleting task and deleting iptable at the same time to prevent the residual iptable rules from affecting the subsequent virtual machine connections;
  • Adjusted the http interface return information;
  • Updated the function node return protocol to unify the return format, to avoid modifying the function node return value to update the client node;
  • Updated the ubuntu20.04 virtual machine image, optimize the boot to modify the name of the network card and connect to the dbc program request;
  • Updated ubuntu20.04 system operation method and client node request method for DBC computing nodes;
  • Fixed the problems that appeared during the testing of phase one, including the state synchronization problem, the type Enum front-end parsing problem, and fixed some logical errors;
  • Added the logic of user going offline to modify configuration and re-examine online;
  • Realized the functions of the second phase of testing, realized the logic of the maintenance module, added penalty logic, added a new RPC interface;
  • Optimized the stored data type and increase test cases;
  • Modified the substrate-sidecar to increase support for DBC chain;
  • Updated the chain operation method, updated the node script installation and usage method, and status query;
  • DeepBrain Chain Galaxy Race Public Test I code was officially activated on July 18th, Beijing time, and is progressing smoothly. As of July 31st, Beijing time, the latest data on the chain at present: 14 computing power pools participating, providing 234 GPUs, the total computing power value reached 20,755.25, these GPUs pledged a total of 24,200,000 DBC, the GPU rental rate reached 90.17%, and the accumulated rental income earned reached 4,539,043 DBC. For details, please refer to the official website: https://galaxyrace.deepbrainchain.org;
  • Based on cross-chain technology, DeepBrain Chain has issued 800 million, 500 million and 200 million DBCs in ETH, BSC and Heco public chains respectively, while 1.5 billion DBCs are locked in the mainnet, and the total amount of DBCs in circulation remains unchanged. imtoken/Math wallet already supports DBCs (ETH), and next we will strive to get on some well-known DEX;
  • The DBC mainnet is running stably, and the total amount of pledged DBCs has further increased to over 414 million, and it is expected that the number of DBCs pledged for supernode election and voting will further increase when the huobi/kucoin exchange opens the mainnet token switch;
  • Congtu Intelligence, Ecological Partner of DeepBrain Chain, was invited to join the Artificial Intelligence Branch of the Internet Society of China and the 5G Cloud Gaming Industry Alliance, which will help DeepBrain Chain further expand its customers in the field of artificial intelligence and cloud gaming and expand the influence of DeepBrain Chain in the industry;
  • Confirmed that the first phase of the public test of the DeepBrain Chain computing competition officially started on July 18;
  • The DBC computing power testnet has connected more than 10 nodes from three countries, the number of GPU access is currently 200+ and continues to grow, rental rate is at more than 90%;
  • The computing power value calculation system of DeepBrain Chain will be optimized in conjunction with the public test and will be publicly announced and implemented in early August;
  • The sales plan of each computing pool of DeepBrain Chain’s computing power ecosystem is officially open to the market;
  • The first batch of NFT products designed by DeepBrain Chain based on the Binance NFT platform is under preparation and will be expected to be available to the market in early August;
  • The DBC computing power China tour is under preparation, which will be working with the participating computing power pools to increase market recognition;
  • Recently, due to the large volume of technical work with the participating computing power pools, including the new pools, it is recommended that the pools make a good plan for server network entry and equipment configuration table in advance and submit it to Leo, the head of the computing power ecosystem, to coordinate the technical work to improve the efficiency of network entry audit;

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DeepBrainChain

DeepBrainChain

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