NVIDIA's Helix brings 32x more users to million-token AI inference
NVIDIA just unveiled Helix Parallelism, a technique co-designed with its Blackwell architecture to fix memory bandwidth bottlenecks in multi-million-token decoding. By decoupling how GPUs handle attention and feed-forward networks, it boosts concurrent users by up to 32x at the same latency budget. It basically makes encyclopedia-sized prompts practical for real-time serving.