Biττensor: Utilization of Compute Resources in Subnet 27
Quick Tutorial for Validators: Utilizing Compute Resources in SN27
Last updated
Quick Tutorial for Validators: Utilizing Compute Resources in SN27
Last updated
Subnet 27 stands as a pivotal component within the Bittensor network, acting as a permissionless marketplace for computational resources. This initiative not only fosters efficient resource sharing and allocation but also ensures the integrity and effectiveness of these resources through the critical role of validators.
Subnet 27 is at the forefront of decentralizing compute access, challenging the monopolistic tendencies of large AI corporations that dominate GPU resources while simultaneously pushing for restrictive compute regulations. This movement is about reclaiming the right to compute, advocating for a decentralized and incentivized compute market that diminishes the influence of the AI oligopoly and empowers the community.
Your participation as a validator is crucial. It not only contests the concentration of computational power but also supports the democratization of compute and the advancement towards decentralized AGI. With Subnet 27, you're not just validating transactions; you're part of a revolutionary shift towards equitable compute access.
Subnet 27 is operational and ready for your engagement. As a validator on SN27, you play a crucial role in ensuring the efficiency and reliability of our decentralized compute network.
This quick tutorial will guide you through reserving and accessing GPU resources provided by miners. Follow along with our video for step-by-step visual instructions.
Compute Subnet Github: github.com/neuralinternet/compute-subnet
Compute Subnet Gitbook: https://docs.neuralinternet.ai/products/subnet-27-compute
We do not support Docker-based cloud platforms such as Runpod, Vast(.)AI and Lambda.
Here are some GPU providers. Choose a provider or use your own hardware:
Latitude.sh (referral code: BITTENSOR27)
Oblivus (referral code: BITTENSOR27 - 2% cash back in platform expenditures)
Examples of GPUs to rent (listed in order of computing power)
NVIDIA H100
NVIDIA A100s
NVIDIA A6000s
NVIDIA 3090s/4090s
Access to a terminal or command-line interface
Basic knowledge of Vim editor (or any text editor of your choice)
Familiarity with SSH (Secure Shell)
Bittensor and Compute Subnet installed
SN27 Validator
Execute the following command in your terminal to reserve an available machine:
Parameters explained:
--netuid: Specifies the subnet you're operating on, in this case, SN27; --netuid 27
--wallet.name: Your coldkey name; --wallet.name ni
--wallet.hotkey: Your wallet hotkey name for identification; --wallet.hotkey ni
Usage explained:
register.py supports several operations related to resource allocation within the compute subnet. Below is a brief overview of the available commands:
a: Allocate resources based on device requirements (e.g., GPU).
a_hotkey: Allocate resources directly via hotkey.
d: De-allocate a previously allocated resource.
list_a: List all currently allocated resources.
list_r: Display a list of all resources.
Use -h or --help option for more details on command usage:
python3 neurons/register.py -h
Executing the command a will start the reservation process.
Verify the GPU type and size.
A machine will be selected for allocation and reservation depending on the specifications.
If a suitable machine is found you will be provided with the machine specifications, IP address, port, hotkey and password for SSH access.
Use the following SSH command format to log into the GPU:
Confirmation with Nvidia-smi:
Once logged in, run nvidia-smi to verify you are connected to the correct machine with the selected GPU.
This command displays the GPU's status and usage, confirming the successful reservation.
The output of which should look something like
When your tasks are completed, exit the SSH session. From the Compute Subnet Reservation CLI execute the command d to de-allocate the reserved machine.
It will ask you to confirm the machine in which you want to preform the de-allocation on by providing it’s hotkey.
By following these steps, you can effectively reserve and utilize high-performance GPU resources provided by miners in SN27.