Making AI accessible to all developers
We aim to put AI into the hands of innovators in a way that enables them to make solid technical and business decisions based on clear and understandable data
Collaboration
Industry Collaboration
Bringing together diverse perspectives from AI research institutions, technology companies, and industry leaders.
Benchmarking
Standardization Focus
Creating clear benchmarks and standards for GPU performance measurement and infrastructure optimization.
Accelerator
Innovation Acceleration
AI teams and their investors can compare and acquire the tools they need with less guess-work and risk
Standardization
Global Impact
Establishing worldwide standards that drive transparency and efficiency in the AI infrastructure market.
Problem Statement
A lack of standardization in the compute market creates inefficiencies and barriers to growth and prevents accurate comparison and evaluation.
Market Inefficiencies
Buying compute is time-consuming and risky due to varying quality, implementations, and pricing. The industry needs to be able to efficiently match specific workloads to their optimized compute config to better match compute demand with supply and materially increase the overall efficiency of the compute economy.
Complex Navigation
Without a clear standard, Machine Learning teams are forced to navigate complex infrastructure details just to ask the right questions — distracting them from their real work. A standardized system for describing compute resources and measuring performance eliminates confusion and empowers teams to make the best decisions for their needs.
Policy in a Vacuum
The AI industry lacks a common voice in policy decisions that are being driven by legislators listening to a select few with personal agendas. Our industry needs an open organization of peers that understand how AI is being used and deployed to represent the interests of those building and consuming AI.
Our Objectives
Driving the future of compute standardization through collaboration
Simplified Framework
Give buyers and providers a simple framework for describing compute resources that will improve clarity and speed in the buying process.
Performance Metrics
Developing standardized metrics to measure performance focused on real-world use cases that account for different architectures.
Accelerated Adoption
Establishing guidelines for accelerating the adoption of compute resources in AI development.​
Unified Voice in Policy
Providing policy recommendations to ensure transparency and efficiency in the AI industry representing common interests and best practices.