Stage 1 Development Plan
Phase 1
Objective: Validation and testing of custom submission interface / DAPP to handle a wide variety of distributed compute & graphics jobs including AI, high performance computing, 3d Rendering, and video rendering workflows. Requisition our own pool of high end GPU’s including H100’s, fx 4800’s fx 3800’s and high end network architecture.
Phase 2
Phase 2
Objective: Validation and testing of custom GPU/ Compute sharing software, this software will include fractional GPU/ CPU core allotment and memory allotment.
Objective: Complete a telegram integration for the management of INFRAX jobs and loaned GPU resources.
Objective: Validate task evaluation, distribution and queueing software. Stress test the INFRAX and pool of INFRAX owned compute resources by executing a variety of community test jobs for free. This will allow us to optimize our development schedule for the best possible use of INFRAX network resources. INFRAX holders will have priority in job selection. Develop intelligent transparent pricing algorithms for GPU sharing so that your jobs are finished in the fastest possible time at the lowest possible price.
Phase 2
Objective: Open Beta for submissions to our job handling and distribution DAPP. Utilize the network to complete actual AI / Compute / and rendering jobs through our job interface.
Objective: GPU sharing comes online. Stake time on your GPU and earn $INFRAX that you can claim on a weekly basis. Use our web interface to monitor how much GPU / Compute time you’ve earned and redeem your tokens.
Objective: Task evaluation, queueing and billing software comes online. Use Infrax to evaluate and price out your jobs on the Infrax network. Remove limitations on community jobs and introduce billing. Preferential place in job queue to long time $INFRAX holders.
Phase 3
Objective: Multiple new convenient ways to submit INFRAX jobs. Submit infrax jobs directly through your 3D modeling / video editing / special effects software.Open source INFRAX API and INFRAX DATA comes online allowing users to interact with INFRAX programmatically and pick the best times to use the INFRAX network to complete your jobs. INFRAX console utilities and automation to make Large AI and distributed compute workflows even easier. INFRAX Python SDK allows programmers to easily integrate infrax into any AI / Compute project or pipeline.
Objective: Peak pricing! When the INFRAX network is HOT, earn even more $INFRAX on your compute resources. Predictive features enabled through INFRAX AI allow users to allocate their GPU’s only for projected peak times or to allocate their GPU’s fractionally for off peak usage.
Objective: AI powered task evaluation distribution and queuing software. INFRAX AI will evaluate your task, and parcel it out to nodes on the INFRAX network in the most efficient way possible. Complete multiple advanced compute / AI / and rendering tasks in parallel across the network at unrivaled speed. Task priority pricing unlocked.
END RESULT: Powerful full featured multiple use distributed compute platform.