Gimlet
AI infrastructure for scalable workloads
CORE INFO
Gimlet Labs is an applied research lab that develops AI inference software to optimize AI workloads across various hardware architectures, catering to AI model labs and data centers.
- Gimlet Labs raised $80 million in a Series A funding round led by Menlo Ventures in March 2026.techcrunch.com
- The company has partnered with major AI chip manufacturers, including NVIDIA, AMD, and Intel.globenewswire.com
- TechCrunch reported that Gimlet Labs' platform can speed up AI inference by 3x to 10x for the same cost and power.techcrunch.com
WHY WE WOULD WORK AT GIMLET LABS
Pioneering AI Infrastructure
Join a leader in AI infrastructure, revolutionizing scalable workloads with cutting-edge solutions like Gimlet Cloud and kforge.
Innovative Team Culture
Collaborate with a small, dynamic team of 11-50 experts, fostering creativity and innovation in AI research and development.
Competitive Compensation
Benefit from significant funding, including a $92M total, ensuring competitive salaries and growth opportunities.
Advanced Technology Stack
Work with state-of-the-art technologies, including a Multi-Silicon Inference Cloud, optimizing AI workloads across diverse architectures.
Impactful Client Collaborations
Contribute to projects with top frontier labs and hyperscalers, driving significant advancements in AI efficiency and scalability.
Mission-Driven Purpose
Be part of a mission to unlock new compute capacities, enhancing AI workload efficiency and scalability for the future.
MARKET AND TRACTION
GROWTH TACTICS
NOTABLE CUSTOMERS
KEY METRICS
✦ KEY METRICCOMPETITIVE ADVANTAGE
MARKET POSITION
PRODUCT AND TECH
Gimlet Cloud
A serverless inference platform designed for AI agents, enabling seamless execution of complex multi-agent systems. It optimizes scheduling and orchestration, allowing users to focus on enhancing their agents' capabilities.
kforge System
An autonomous system that generates optimized low-level kernels from PyTorch, accelerating training and inference across various backends. It ensures efficient execution by exploring multiple designs and enforcing correctness checks.
Multi-Silicon Inference Cloud
A proprietary software stack that maps workloads to the most suitable processors, ensuring efficient execution across different architectures. This technology enhances scalability and performance for diverse AI workloads.
AI Infrastructure Innovation
Gimlet Labs focuses on developing cutting-edge AI infrastructure to enhance efficiency and scalability. Their mission is to unlock new compute capacities, driving breakthrough improvements in AI workload management.