DDN, Nebul and NVIDIA Advance AI Inference Economics Through High-Performance KV Cache Acceleration
DDN (Press Release), Wednesday, July 8th, 2026
DDN, Nebul, and NVIDIA use KV cache acceleration to cut AI inference cost per token.
DDN, Nebul, and NVIDIA announced a collaboration to optimize AI inference performance through KV Cache acceleration and advanced data infrastructure.
The partnership argues that as AI shifts from experimentation to production, data infrastructure is now critical to AI profitability, with DDN's CEO saying the conversation has moved from acquiring GPUs to efficiently generating value from them.
The combined solution delivers tokens nearly 10 times faster than approaches without cache optimization, improving GPU utilization and reducing cost per token. The companies emphasize that success metrics now center on practical efficiency measures - GPU utilization, cost per token, and time to first token - rather than simply building larger models.