AINewsnow

10x faster generation, 1.4x faster workflow: a Python lab

This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.

Inception says Mercury 3 generates 1,068 tokens per second on NVIDIA GPUs [1]. For this lab, we'll compare hypothetical rates of 100 and 1,000 tokens per second. We aren't benchmarking Mercury. So your agent gets ten times faster, right? 🚀 Let's find out with a tiny Python lab you can run in two m…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-20 07:24 · DEV Community — AI
    10x faster generation, 1.4x faster workflow: a Python lab

More stories

  1. ‘Open your doors for AI’: German chancellor urges businesses to embrace AI as Nvidia announces new investments — CNBC Technology
  2. A Deep Dive on CoreWeave Innovations for NVIDIA Vera Rubin NVL72 — CoreWeave Blog
  3. Germany Wants to Lead the World in Industrial AI: How NVIDIA Will Help — NVIDIA Blog
  4. One Search, Two Layers: Compiler Controls Inside PyTorch Helion using NVIDIA CompileIQ — PyTorch Blog
  5. NVIDIA Advances Agentic Security for Media, From European Public Service Broadcasting to Global Content Production — NVIDIA Blog
  6. Nvidia launches new open models to run agents in the enterprise and on PCs — TechCrunch AI
  7. Qwen 27B (IQ4_XS, Q8/Q4 KV) at full 262k context on a 16GB RX 9070 XT: 80+ t/s decode with Adaptive KV Streaming — r/LocalLLaMA
  8. RTX Spark Ignites Global Celebration as New Windows PCs Arrive — NVIDIA Blog

Get the daily brief of stories like this at 6:30 every morning →