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Deepseek V4 1 Flash

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Run DeepSeek V4.1 Flash on Three DGX Sparks

A stability-first SGLang deployment serves DeepSeek V4.1 Flash across three NVIDIA DGX Sparks: 750k KV cache, ~1600 tok/s prefill, ~38 tok/s single-stream decode.

Architecture diagram illustrating DeepSeek-V4.1-Flash's asymmetric Causal-Encoder-Decoder design, showing an 8-billion parameter prefill encoder routing through a projected global KV cache to a 16-billion parameter decoder.

Deepseek V4 1 Flash Research

DeepSeek-V4.1-Flash Upends Enterprise AI Economics via Asymmetric Routing

DeepSeek launches DeepSeek-V4.1-Flash, cutting inference costs with asymmetric routing, a 1M context window, and pricing starting at $0.15 per million tokens.

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Sep 12, 2026, 12:37 PM EDT · Research · Mlx12 minMLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

One is a portable inference engine, the other an array framework that also trains — and that single difference settles almost every practical question.

Sep 12, 2026, 12:37 PM EDT · Operations · Llm Evaluation14 minHow to Build an LLM Evaluation Harness That Catches Real Regressions

Public benchmarks only shortlist a model; your own cases decide whether to ship it. Here is the dataset, the scorers and the CI gates that catch real drift.

Sep 12, 2026, 12:37 PM EDT · Research · Prompt Caching11 minPrompt Caching Explained: Cutting Agent Costs Without Touching the Model

Your agent re-sends the same long prefix on every step and pays to recompute it. Here is the KV mechanism, the ordering rule it forces, and the break-even math.

Sep 12, 2026, 12:37 PM EDT · Research · Speculative Decoding11 minSpeculative Decoding and Multi-Token Prediction: How LLMs Generate Faster

Decode is memory-bound, so checking several tokens in one pass is nearly free. Here is the mechanism, the arithmetic behind it, and why quality never moves.