Updated
Updated · TechCrunch · Jul 20
Infinity Raises $15 Million for CUDA-Alternative AI Chip Software at $100 Million Valuation
Updated
Updated · TechCrunch · Jul 20

Infinity Raises $15 Million for CUDA-Alternative AI Chip Software at $100 Million Valuation

2 articles · Updated · TechCrunch · Jul 20

Summary

  • $15 million in new funding values Infinity at $100 million as the year-old startup pushes software meant to help non-Nvidia chips run AI models more easily.
  • Infinity is building a CUDA alternative: an AI-driven inference library and kernel stack that it says can adapt across GPUs, SRAM, phone chips and systolic arrays.
  • Founder Jeremy Nixon says its Ignition agent writes, tests and rewrites low-level inference code automatically, cutting work that once took months or years down to hours or days.
  • The company already counts chipmaker D-Matrix as a customer and is in talks with other chip and cloud groups, charging by taking a share of performance gains and cost savings.
  • The bet targets Nvidia's biggest moat—CUDA's grip on PyTorch and TensorFlow workflows—as startups try to erode its dominance one software layer at a time.

Insights

Is Infinity's pay-for-performance model the key to finally breaking Nvidia's hardware monopoly?
Can an AI agent truly out-engineer Nvidia's decades of human-perfected CUDA code?
As AI begins writing code for chips, what is the new role for human engineers?