DeepSeek launches V4.1-Flash with encoder-decoder architecture and native vision
ricklamers · x · 2026-09-10
DeepSeek officially introduced DeepSeek-V4.1-Flash, the smallest model in its new architecture family, touting native visual understanding, faster inference, and higher throughput with an eye toward scaling up. A quoted thread by inference developer Halex623 lists key architecture changes: encoder-decoder design, an "engram" memory module, different active parameter counts for prefill vs. decode, a newer mHC, and a new sparse indexer — noting the list isn't exhaustive and that supporting it in inference will be a challenge.
More from Infra
- DeepSpeed shows AutoEP/AutoTP/AutoSP parallelism gains, hosts office hours — PyTorch · 2026-10-27
- Cloudflare Durable Objects validated as top architecture for AI agent WebSocket servers — tristanbob · 2026-10-27
- Gary Marcus: With Q3 data added, Anthropic's compute-efficiency growth shows deceleration — GaryMarcus · 2026-10-27
- SpaceX locks in $40B GPU financing deal with Apollo, the largest ever committed — TechCrunch AI · 2026-10-27
- Inference is just Kubernetes with a multi-trillion-dollar market, and the communities overlap — matt_slotnick · 2026-10-27
- vLLM eyes Rust migration as inference engines race to rewrite the stack — AccBalanced · 2026-10-27