Deepseek · AI Beat

28 Jun 2026 · AI Beat Desk

DeepSeek Ships Speculative Decoding to Production and Open-Sources the Whole Stack

DeepSeek released DSpark on June 27 — a semi-parallel speculative decoding framework already running in production for DeepSeek-V4 — alongside DeepSpec, an MIT-licensed toolkit packaging three drafting algorithms with complete training and evaluation pipelines. Together they let anyone train a custom draft model for their own target LLM, not just the models DeepSeek ships.

03 Jun 2026 · AI Beat Desk

AMD's FP8 Problem, and What It Costs

A detailed engineering account of bringing DeepSeek-V4-Flash up on AMD MI300X reveals the real cost of AMD's software ecosystem gaps: FP8 format fragmentation, missing kernels, and HIP graph constraints that each required dedicated engineering effort before getting to 2,700 tokens/s.

25 May 2026 · AI Beat Desk

The Terminal Agent That Bets Everything on the Cache

DeepSeek Reasonix is a DeepSeek-native terminal coding agent that treats prefix-cache stability as a first-class invariant rather than a side effect. With 99.82% cache hit rates in reported benchmarks, it cuts a heavy session from ~$61 to ~$12 — deliberately by coupling tightly to one provider's caching behavior instead of staying provider-agnostic.

08 May 2026 · AI Beat Desk

One Model, One Chip, No Framework

Salvatore Sanfilippo (antirez, Redis) released ds4: a single-model Metal inference engine for DeepSeek V4 Flash that deliberately rejects the general-framework approach. Asymmetric 2-bit quantization on MoE experts only gets a 280B-parameter model into 128 GB RAM with 26–36 t/s generation, 1M-token context, and disk-persisted KV cache on Apple Silicon.