vLLM

vLLM across Glyph

vLLM across Glyph: timeline

  1. OpenAI users keep asking for help (Problems)
  2. Running DeepSeek locally hits memory and speed limits (Problems)
  3. OpenAI users keep asking for help (Problems)
  4. Running LLMs locally hits memory and speed limits (Problems)
  5. Running Perplexity locally hits memory and speed limits (Problems)
  6. Running PyTorch locally hits memory and speed limits (Problems)
  7. Running NVIDIA locally hits memory and speed limits (Problems)
  8. Migrating vLLM to the LibTorch Stable ABI (Blogs)
  9. Zero Mismatch, Simple Async RL: REINFORCE Zero, DeepSeek-V4.1 and Kimi K3.1 (Blogs)
  10. Trouble with vLLM kernel (Problems)
  11. Fine-tuning vLLM is costly and unpredictable (Problems)
  12. DeepSeek users keep filing bugs (Problems)
  13. Trouble with OpenAI calls (Problems)
  14. Running Qwen locally hits memory and speed limits (Problems)
  15. Running vLLM locally hits memory and speed limits (Problems)
  16. SQLite upgrades break working setups (Problems)
  17. PyTorch lock-in makes switching costly (Problems)
  18. OpenAI upgrades break working setups (Problems)
  19. Trouble with vLLM draft (Problems)
  20. Qwen users keep filing bugs (Problems)

295 events in all: the full list as JSON.

Sources