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DeepSeek V4.1-Flash cuts agent memory costs fourfold with new architecture

DeepSeek V4.1-Flash, released September 10, cuts AI agent KV cache memory fourfold via four architectural techniques -- CED ...
Tech Times

DeepSeek Cuts AI Agent Memory Cost 4x: New Architecture Fits More Sessions Per GPU

DeepSeek V4.1-Flash cuts GPU memory for AI agent sessions by 75%, fitting four times as many concurrent sessions on the same ...
Martin Cid Magazine

DeepSeek V4.1 Flash: 552B parameters, 8B active, 60% cached-input cut — ties Opus 5

DeepSeek's newest model activates just 8 billion of its 552 billion mixture-of-experts parameters per token — a new Causal ...

DeepSeek V4.1-Flash: What Its 552B Parameters and 8B Active Parameters Mean

DeepSeek V4.1-Flash has 552B total parameters but activates 8B during prefill and 16B during decode. Here's why the ...
Unite.AI

Baseten Adds DeepSeek-V4.1-Flash to Model APIs With 1M-Token Context

DeepSeek-V4.1-Flash is available now on Baseten Model APIs, Baseten announced on September 11, 2026, bringing the ...

DeepSeek’s New Architecture Slashes Agentic Costs by 80%

DeepSeek’s release of V4.1 Flash on September 10, 2026, forces a recalibration of the economics governing autonomous agents. By slashing cache-hit costs to $0.003 per token during off-peak hours-a ...
TV Technology

Choosing the right broadcast encoder/decoder combination

Choosing the right broadcast encoder/decoder combination ensures both picture quality and the functionality to support the total broadcast system. Shown here is Scientific-Atlanta’s Continuum DVP ...