Part 4/9:
The talk explores the shift from traditional CPU-based computing to GPU-centric architectures, which provide the speed and efficiency required for modern AI workloads. Additionally, the integration of specialized systems like Tensor Processing Units (TPUs) and multi-resistance networks is discussed, emphasizing an ecosystem designed for minimal latency and maximal throughput—critical for real-time applications.
Data Processing and Storage: Closer than Ever
The importance of real-time data access is underscored, especially for industries such as oil and gas, where the latest information informs operational decisions. The models discussed are capable of continuously updating, providing a dynamic foundation for analytics and insights, thus enabling businesses to act swiftly and accurately.