Gimlet Labs has secured $80 million in Series A funding for its innovative technology that enables AI models to run simultaneously across multiple chip architectures including NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix. The solution addresses the critical AI inference bottleneck by allowing seamless cross-platform execution without vendor lock-in. This approach represents a significant advancement in making AI deployment more flexible and efficient across diverse hardware ecosystems.
Background
AI inference bottlenecks have become a major challenge as models grow larger and more complex, with different chip manufacturers offering specialized hardware solutions that often create vendor lock-in and compatibility issues.
- Source
- TechCrunch
- Published
- Mar 24, 2026 at 12:00 AM
- Score
- 7.0 / 10