simuliinc

Project Owner

Design for Cryptocurrency Mining and AI Processing

Expert Rating

n/a

Type SingularityNET RFP
Funding Request n/a
RFP Guidelines AGI related hardware

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Overview

This 6-month, $80,000 project aims to design a novel hybrid FPGA/ASIC architecture that repurposes Bitcoin mining hardware for AGI computation. The proposed system will combine cryptocurrency mining capabilities with specialized processing for graph traversal and hypervector operations, enabling distributed processing. Led by Simuli Inc, the project will deliver a comprehensive hardware architecture design, prototype implementation, Hyperon/MeTTa integration, and testing documentation. The solution addresses the current inefficiencies of single-purpose mining ASICs while creating economic incentives for distributed AGI computation networks through dual-purpose hardware capabilities.

RFP Guidelines

AGI related hardware

Internal Proposal Review

Type SingularityNET RFP
Total RFP Funding $80,000 USD
Proposals 6
Awarded Projects n/a

SingularityNET

Oct. 4, 2024

SingularityNET

rfp owner

AGI related hardware

Internal Proposal Review

This RFP seeks to explore and evaluate innovative hardware paradigms, ranging from small-scale IoT devices to large, decentralized systems, to optimize AGI workloads in the OpenCog Hyperon framework and handle advanced processes such as cognitive synergy and hyperdimensional computing. The focus is on assessing hardware paradigms and emerging architectures (e.g. neuromorphic processors, associative processors such as TensTorrent’s APU, etc). The goal is to enhance computational efficiency, scalability, and cognitive synergy in AGI systems. Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.

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Proposal Description

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Total Milestones
4
Total Budget
$80,000_USD
Last Updated
7 Dec 2024

Milestone 1 - Hardware Architecture Research & Design

Description

Conduct comprehensive analysis of existing hardware solutions and design hybrid architecture combining graph traversal, hypervector operations, and mining capabilities

Deliverables

Hardware architecture specification document Simulation models of hybrid processing units Power consumption analysis and optimization plan Integration blueprint for Hyperon framework Initial prototype design schematics

Budget

$20,000 USD

Success Criterion

Simulation demonstrates feasibility of all three processing types (mining, HDC, graph) Power efficiency projections meet or exceed current ASIC standards Architecture review approved by Hyperon team Complete analysis of at least 6 existing hardware architectures documented

Milestone 2 - Prototype Implementation

Description

Develop working prototype of the hybrid processor, implementing basic firmware and testing core functionalities

Deliverables

Functional prototype device Basic firmware implementation Performance testing results Power efficiency measurements Security architecture implementation

Budget

$20,000 USD

Success Criterion

Successful switching between mining and AGI workloads Power efficiency within 20% of projected values Basic graph traversal operations functional Hypervector operations verified Security architecture passes initial audit

Milestone 3 - Software Stack & Integration

Description

Develop software infrastructure for device management and integration with Hyperon/MeTTa

Deliverables

MeTTa integration layer Distributed computation protocol Management and monitoring suite SDK with documentation Integration testing results

Budget

$20,000 USD

Success Criterion

Successful execution of MeTTa operations Distributed computation protocol validated SDK successfully used by test developers All critical interfaces documented and tested Integration tests pass with Hyperon framework

Milestone 4 - Testing & Documentation

Description

Comprehensive testing of entire system and preparation of documentation for community deployment

Deliverables

Full system integration test results Performance optimization report Security audit report Complete technical documentation Community deployment guide

Budget

$20,000 USD

Success Criterion

System meets all performance metrics Security audit passed with no critical issues Documentation reviewed and approved by Hyperon team Successful test deployment in community environment All known issues documented with solutions

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Expert Ratings

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The weighted average of the 4 perspectives Overall

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Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

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This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

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RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

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The weighted average of the 4 perspectives Overall

0.0
Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

0.0
This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

0.0
RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

0.0

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Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.

Overall (Primary)
This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).

Feasibility (secondary)

This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.

Viability (secondary)

This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:

A proposal that promises the development of a personal assistant that outperforms existing solutions might be feasible, but if there is no AI expertise in the team the viability rating might be low.
A proposal that promises a new Carbon Emission Compensation scheme might be technically feasible, but the viability could be estimated low due to challenges around market penetration and widespread adoption.

Desirability (secondary)

Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?

Example:

Creating a translation service from, say Spanish to English might be possible, but it\'s questionable if such a service would be able to get a significant share of the market

Usefulness (secondary)

This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”

For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:

A metaverse project that spends 95% of its budget on the development of the game and only 5 % on the development of an AI service for the platform might expect a low ‘usefulness’ rating here.

A marketing proposal that creates t-shirts for a local high school, would get a lower ‘usefulness’ rating than a marketing proposal that has a viable plan for targeting highly esteemed universities in a scaleable way.
An AI service that is fully dedicated to a single product, does not take advantage of the purpose of the platform. When the same service would be offered and useful for other parties, this should increase the ‘usefulness’ rating.

simuliinc

Project Owner

Simuli Inc, led by Dr. St.Clair and semiconductor veteran Binoy Syed, will execute this 6-month hardware architecture project leveraging their compression technology and semiconductor expertise.

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Account Pending

Product Manager

Product Manager leads AI chip development strategy, coordinates engineering teams, analyzes market needs, and manages product lifecycle from concept to launch.

Account Pending