Faster AI Inference Stays Separate from Crypto Markets
Modal added Inkling and got 67% better speeds on LLM serving, but the update mentions nothing about crypto.
@modalTL;DR:
- This report is really just about an AI serving upgrade, not any kind of crypto market change.
- Nothing here on risk appetite, capital moves, dominance, or derivatives.
- The actual news is better LLM throughput and lower lag thanks to SGLang plus their custom DFlash speculator.
Headline
Modal added Inkling from Thinky Machines to their cloud setup. A custom DFlash speculator delivered 67% better throughput.
Summary
Modal brought in Inkling from @thinkymachines and runs it through Auto Endpoints with SGLang. They added a custom speculator that they say improves speed and responsiveness by 67%. Looks like the focus is on serving models faster rather than just making them bigger.
Analysis
This is inference work. Modal is showing their platform can run AI models efficiently. The SGLang and speculator combo points to speculative decoding that cuts lag and raises tokens per second. As models start looking similar, the advantage shifts to how you serve them, how you scale, and what tools you give developers. Builders end up with smoother interactive apps that cost less and feel quicker on GPUs.
Impact Assessment
Significance: Medium Categories: Product Launch, Developer Tools, Technical Insight