ScaleFlux and AIC Launch Context Memory Platform to Tackle AI KV-Cache Bottlenecks
The rapid rise of long-context AI models and autonomous agents is creating an unexpected infrastructure problem: memory. Modern AI systems increasingly support extended prompts, multi-turn conversations, and persistent sessions. But these capabilities come with a heavy cost—the key-value (KV) cache used during inference can quickly exceed available GPU memory, especially when models process long context…
