<aside> 🧠To accurately assess the value of decentralized computing marketplaces and enable transparent comparison of their capabilities, the industry needs to adopt FLOPS as a standardized, hardware-agnostic metric to measure the total computational capacity contributed across diverse hardware resources like GPUs, CPUs, and specialized accelerators.
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In a recent piece, Sami Kassab, a partner at OSS Capital, shed light on the surging popularity of decentralized compute marketplaces. However, as Kassab points out, there's a glaring lack of standardized metrics measuring the total computing capacity actually contributed to these marketplaces, making it difficult for investors to compare the various projects. This has left investors in the dark about the real value of these ecosystems, ultimately leading to speculation when valuing these projects.
Standardized Metrics for Compute Marketplaces
Typically, these projects have relied on vanity metrics like the total number of GPUs and CPUs to showcase their worth. However, industry leaders have criticized this practice, arguing that these metrics can be easily manipulated and are often meaningless. This intentional obscurity leaves one to wonder if it is an attempt to conceal the harsh reality—a substantial lack of computing power being channelled into these marketplaces—or, in some cases, even outright misguidance to artificially boost their perceived popularity.
To address this issue, Kassab has proposed adopting FLOPS (Floating Point Operations per Second) as a metric to represent the total computational capacity of these decentralized computing marketplaces. This well-established benchmark, widely used in high-performance computing, could finally provide the much-needed clarity and comparability the space currently lacks.
The case for adopting FLOPS (Floating Point Operations per Second) as a metric for decentralized compute marketplaces is compelling from the perspectives of users, investors, and legitimate projects. Vaporware projects with no substance are essentially the only ones that would be negatively affected by the standardization of compute metrics. This is because, unlike simplistic GPU counts, which are misleading and can be manipulated, FLOPS offers a hardware-agnostic way to measure the real computational capacity across diverse hardware types.