variables: 959814

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
959814 FP32 performance FLOP/s   2024-07-29 11:40:03 2024-07-29 11:40:03       6640     
{
    "unit": "FLOP/s",
    "zeroDay": "2000-01-01",
    "yearIsDay": true,
    "numDecimalPlaces": 0
}
 0     fp32__single_precision__performance__flop_s grapher/artificial_intelligence/2024-07-11/epoch_gpus/epoch_gpus#fp32__single_precision__performance__flop_s   2 major           The number of floating-point operations per second that can be performed by the GPU. FLOP/s values refer to 32-bit (full) precision.   
[]
 - Reporting a time series of AI investments in nominal prices (i.e., without adjusting for inflation) means it makes little sense to compare observations across time; it is therefore not very useful. To make comparisons across time possible, one has to take into account that prices change (e.g., there is inflation). - It is not obvious how to adjust this time series for inflation, and we debated it at some length within our team. - It would be straightforward to adjust the time series for price changes if we knew the prices of the specific goods and services that these investments purchased. This would make it possible to calculate a volume measure of AI investments, and it would tell us how much these investments bought. But such a metric is not available. While a comprehensive price index is not available, we know that the cost for some crucial AI technology has fallen rapidly in price. - In the absence of a comprehensive price index that captures the price of AI-specific goods and services, one has to rely on one of the available metrics for the price of a bundle of goods and services. In the end we decided to use the US Consumer Price Index (CPI). - The US CPI does not provide us with a volume measure of AI goods and services, but it does capture the opportunity costs of these investments. The inflation adjustment of this time series of AI investments therefore lets us understand the size of these investments relative to whatever else these sums of money could have purchased.       float 
[]
 f14ca0efd229c3761a7f4f0055c22963 fcb1ac2ca868e0b1592079c442b547f2

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