Welcome to the Future of Compute Standardization
The compute market is rapidly evolving, but lacks consistent nomenclature and measurements to differentiate environments, which creates significant inefficiencies and barriers to the growth of AI. The Compute Standards Council (CSC) aims to solve this problem by creating and implementing industry-wide standards for testing the performance of compute environments and accurately describing their capabilities. We assert these standards are critical in simplifying and optimizing the acquisition and trading of compute resources.
Problem Statement
Buying compute is time-consuming and risky due to varying quality, implementations, and pricing. A lack of standardization in the compute market creates inefficiencies and barriers to growth and prevents accurate comparison and evaluation. 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.
​A "GPU cluster" can be sold by various providers, often with a wide range of prices. 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. As a result, providers risk losing business to inferior solutions simply because their offerings aren't easily understood. A standardized system for describing compute resources and measuring performance would eliminate confusion, empower teams to make informed decisions, and ensure the best solutions win.
Objectives
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Give consumers and providers a simple taxonomy for describing compute resources that will improve clarity and speed in the buying process.
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Developing standardized metrics for measuring the performance of compute resources focused on outcomes and not FLOPS.
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Establishing guidelines for describing the utilization of compute resources in AI development.
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Modeled after self-regulated organizations (SROs) in financial services, this council will provide governance, oversight, and policy recommendations to ensure transparency and efficiency in the compute economy.
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Enabling efficient and sustainable growth of the AI industry through consistent frameworks.