DFlash 2 released: up to 4.6× speedup for AI inference
igilitschenski · x · 2026-08-19
Inco AI announced DFlash 2, an inference stack innovation that delivers up to a 4.6× speedup over standard autoregressive decoding. Benchmarks show Qwen3.8-27B running at 70 tok/s on an M5 Max MacBook Pro. Originally seeded at Z Lab and upgraded at Inco AI, it unlocks performance gains for both frontier-scale models and smaller models on personal devices.
Related event: Inco AI Launches DFlash 2, Speeding Up LLM Inference Up to 4.6x(4 posts)→
More from Infra
- Phison CEO calls CXMT memory scare a 'ghost story', warns of materials shortage — BenBajarin · 2026-10-16
- Ben Bajarin: The Future of Compute Is Fungible as Hyperscalers Design for Workload Flexibility — BenBajarin · 2026-10-16
- AirLLM runs frontier-size models layer-by-layer: 671B on 12GB VRAM — Aiden_Tech_Ai · 2026-10-16
- NVIDIA Launches cuPotential in CUDA-X to Bring AI Agents to Semiconductor Materials Simulation — tomaszbednarz · 2026-10-16
- Q4-quantized coder model on 8-core CPU builds interactive solar system demo in one shot — IntrepidMindExplorer · 2026-10-16
- TokenSpeed MLA 2 ships for Vera Rubin: up to 3.44× faster Kimi K3 decode — zhyncs42 · 2026-10-16