DeepSeek's new Flash paper claims 4x memory reduction for running AI models
Two Minute Papers · youtube · 2026-09-18
Two Minute Papers covers DeepSeek's V4.1 Flash paper, which reportedly cuts AI memory/VRAM usage to a quarter of prior requirements. The video aggregates live demos shared on X (from accounts like loktar00 and DanielPPFW) and links the official paper. The key implication: 4x memory compression lets you run larger models or longer contexts on the same hardware. Note the video is sponsored by Lambda GPU Cloud.
More from Models
- Tencent Hunyuan teases upcoming LMArena debut — TencentHunyuan · 2026-11-04
- Insider guesses Astra 6.2 launches tomorrow, jokes to use up today's quota — bdsqlsz · 2026-11-04
- Same Claude model served by Bedrock one day and Anthropic the next, dev finds — georgos_pappas · 2026-11-04
- Abliterated GLM-5.3 pulls off red-team exploit in 3:41 for $0.02, stock model refuses — bratton · 2026-11-04
- Tencent Hunyuan unveils Hy4, open weights coming soon — heatOverflower · 2026-11-04
- OpenAI's next model won't be cheap, quips likening it to an 800B active-parameter frontier — teortaxesTex · 2026-11-04