Million-Token Context Is Finally Here 🤯

DeepSeek just released DeepSeek V4, and it may have solved one of the biggest problems in modern AI: million-token context.

Why is this such a big deal?

Because of something called KV Cache.

KV Cache is the memory your GPU stores for every token already in the conversation or prompt. As context gets longer, KV Cache grows linearly, which means longer context windows require massive GPU memory and drastically reduce throughput.

At 1 million tokens, this usually becomes extremely expensive or practically impossible for most systems.

That’s why long-context AI has always been treated like a premium feature.

But DeepSeek V4 changes that.

It runs 1M-token context using only 10% of the KV Cache and just 27% of the inference FLOPs compared to DeepSeek V3.2.

That means nearly 4x cheaper inference for long-context workloads.

Видео Million-Token Context Is Finally Here 🤯 канала EverythingAI