Beyond Single-GPU Limits: The Distributed Computing Revolution for Datacenters

With explosive data growth, single GPU servers are no longer sufficient. Data movement between GPU memory and VRAM becomes a bottleneck, leading to inefficiencies and increased costs. NVIDIA and AMD are racing to develop distributed computing runtimes, such as NVIDIA's CUDA DTX and RAPIDS-based solutions, and AMD's ROCm-DS. However, Voltron Data's Theseus takes a different approach, putting data movement at the core. Through asynchronous executors and sophisticated data prefetching strategies, it significantly improves the efficiency of analytics and AI tasks at datacenter scale, and has already outperformed Databricks Photon in benchmarks.