Inference hardware for multi-agent / low-latency
Key Questions
What hardware advances support low-latency multimodal inference?
Groq 3 and Qwen3.6 achieve 180 tokens per second, while NVFP4 enables efficient video infrastructure. LongLive-2.0 specifically targets parallel processing for long video generation.
How does LongLive-2.0 optimize video generation inference?
It introduces an NVFP4 parallel infrastructure designed for long video generation tasks. This reduces latency and supports scalable deployment of video world models like SANA-WM.
What solutions address the AI inference hardware bottleneck?
Optical co-design and specialized accelerators like Groq are being explored to overcome current LLM hardware limits. These advances tie directly into efficient multimodal and agentic system scaling.
Groq 3/Qwen3.6 180t/s, NVFP4; LongLive-2.0 NVFP4 video infra. Ties into SANA-WM and optical co-design for scalable multimodal inference. New: DeepMind Memory Wall/HBM/near-memory processing discussions. New: PRISM/neuromorphic edge efficiency for robotics.