The traditional approach to data processing, heavily reliant on SQL and CPU clusters for structured data, is evolving. A significant shift is occurring where unstructured and multimodal data, such as videos, PDFs, and sensor logs, are becoming primary sources of insight. Processing this data requires model inference, which is increasingly being performed on GPUs, making data processing GPU-intensive. This transition from tabular to multimodal data and from SQL to inference is enabling new ways to extract value from previously inaccessible information. AI
IMPACT Data processing is increasingly leveraging GPUs for inference on unstructured data, enabling new insights and requiring new system architectures.
RANK_REASON The article discusses a trend in data processing rather than announcing a new product or research finding.
- Anyscale, Inc.
- central processing unit
- Etl
- Genomic sequence databases
- graphics processing unit
- Slack
- SQL
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