Part 9/10:
From a systems engineering standpoint, Hydra Attention aligns with principles of parallel processing and bottleneck mitigation. By leveraging massive parallelism—breaking the sequential bottleneck inherent in traditional attention—the method exploits hardware efficiencies, especially on GPUs, which thrive on parallel workloads.
The analogy used by the researcher is traffic flow on a multi-lane highway. Traditional attention acts like a single-lane road, prone to jams, while Hydra's multiple heads are comparable to multiple lanes allowing traffic to pass smoothly and swiftly. This insight echoes proven engineering practices: increasing throughput by parallelizing workload can lead to orders-of-magnitude gains.