How to rent GPU's on our dApp

How to rent GPU's on our dApp

Seamlessly access high-performance GPUs for your AI, rendering, and compute-intensive tasks. Simply browse available nodes, choose the best fit for your needs, and start renting—all on a decentralized, secure platform. Experience cost-effective and scalable computing power like never before!

Ganesh Hegde

Step 1: Visit GPU.net

  1. Open your web browser and search for "GPU.net" or directly go to GPU.net.

  2. Once the homepage loads, look for the "On Demand GPU" option.

  3. Click on "On Demand GPU" to proceed.


Step 2: Access the Marketplace (Login Required)

  1. After clicking "On Demand GPU", you will be redirected to the Marketplace page.

  2. Here, you will see available GPU rental options, but you must log in to proceed.

  3. Click on the "Login" button in the top-right corner.

  4. Enter your email and password, then click Sign In.


Step 3: Browse and Search for a Specific GPU

  1. Once logged in, you will see the Marketplace, where available GPUs are listed.

  2. If you are looking for a specific GPU, use the search bar at the top.

  3. Type in the GPU model name (e.g., RTX 4090, A100, H100) and press enter.


Step 4: Select an Appropriate GPU

  1. Browse the list of available GPU models and select one based on:

    • VRAM size (8GB to 80GB).

    • Processing power (consumer-grade vs. enterprise-grade GPUs).

    • Use case (gaming, AI training, deep learning, rendering).

  2. Click on the GPU you want to rent to view detailed specifications.


Step 5: Choose a Server Region

  1. Select the region closest to your location to reduce latency and improve performance.

  2. Available regions include:

    • Asia-Pacific

    • Europe

    • America

    • North America 


Step 6: Configure RAM and Storage

  1. Check the available RAM options and select the appropriate amount based on your needs.

  2. For basic tasks, 16GB-32GB RAM is usually enough.

  3. For high-end deep learning, you may need 64GB+ RAM.

Step 7: Create or choose your Encryption key

Step 8: Navigate to your GPUs and copy the SSH Command

Pre installed packages (Versions may vary)

System Utilities & Core Packages

  • bash, coreutils, dpkg, apt, gzip, tar, xz-utils, sed, grep, findutils, diffutils, logrotate, cron, systemd, systemd-sysv, initramfs-tools, procps, lsb-release, lsb-base, mount, util-linux, netbase, hostname, kbd, console-setup, keyboard-configuration, locales

Development & Compilation

  • gcc, g++, make, build-essential, libc-dev-bin, libc6-dev, binutils, pkg-config, perl, perl-modules, manpages-dev, bzip2, patch, gawk

Python & Related Packages

  • python3, python3-dev, python3-pip, python3-setuptools, python3-wheel, python3-apt, python3-distutils, python3-urllib3, python3-requests, python3-distro, python3-six, python3-yaml, libpython3.10, python3-virtualenv, python3-jsonschema

Networking & Security

  • curl, wget, iptables, iproute2, netcat-openbsd, tcpdump, telnet, whois, ufw, openssh-client, openssh-server, openssl, fail2ban, gpg, gpg-agent, dirmngr, ca-certificates

Storage & File System Tools

  • fdisk, e2fsprogs, btrfs-progs, ntfs-3g, parted, mount, xfsprogs, lvm2, mdadm, zerofree, fuse3

Containerization & Virtualization

  • docker-ce, docker-ce-cli, docker-compose-plugin, containerd.io, libnvidia-container-tools, nvidia-container-toolkit, qemu-guest-agent

NVIDIA Drivers & Libraries

  • nvidia-utils-550-server, nvidia-dkms-550-server, nvidia-headless-550-server, nvidia-container-toolkit, nvidia-kernel-common-550-server

Linux Headers & Kernel Modules

  • linux-headers-generic, linux-image-virtual, linux-libc-dev, dkms

Version Control & Source Management

  • git, git-man, subversion

Text Editors & Shell Tools

  • vim, nano, tmux, screen, byobu

Disk & Partition Management

  • gdisk, ntfs-3g, parted, btrfs-progs, smartmontools

Compression & Archiving

  • gzip, bzip2, tar, xz-utils, zip, unzip, p7zip

Monitoring & Performance Tools

  • htop, iotop, dstat, sysstat, strace, lsof, psmisc, irqbalance

Snap & Flatpak

  • snapd, flatpak

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