Episode
S12 E9: Mitesh Agrawal, Positron
- Published
- Mar 10, 2026
- Duration seconds
- 2079
- Processing state
processed- Canonical source
- https://codestory.co/podcast/e9-mitesh-agrawal-positron/
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Summary
Mitesh Agrawal explains how Positron is tackling the memory capacity bottleneck in AI inference by developing a new silicon architecture. The discussion covers the transition from supercomputing at Lambda to building purpose-built hardware for massive AI models.
Topics
- AI Inference
- Silicon Design
- Hardware Architecture
- Machine Learning Infrastructure
- Semiconductor Engineering
- Startup Scaling
- Memory Capacity
- Deep Tech
Highlights
- Main idea: AI model growth is creating a critical memory capacity bottleneck during the inference stage
- Technical challenge: Moving beyond traditional SRAM architectures to solve memory-on-chip limitations using DRAM
- Practical takeaway: Building a high-efficiency team (under 20 people for Gen 1) is a viable strategy for complex hardware startups
- Failure mode: Avoiding the trap of over-solving for scale before establishing real-world product value and usage
- Philosophical lesson: Entrepreneurial longevity requires finding deep passion in the work to endure the inevitable low points
Chapters
1:00The Vision for AI Hardware: Mitesh discusses the potential impact of AI technology and the mission of the Positron team.7:20The Inference Bottleneck: Identifying the thesis that increasing model sizes necessitate new approaches to vector-matrix multiplication and memory.10:20Architectural Innovations: Exploring the trade-offs between SRAM and DRAM and how Positron is innovating on memory technology.16:50Scaling Engineering Teams: How to maintain high capital and people efficiency while driving high-speed silicon design.20:10The Strategy of Ambition: Navigating the risks of R&D in the silicon industry and the importance of aiming for massive growth.26:20Economic Scale in Hardware: Contrasting the challenges of servicing billion-dollar purchase orders versus small-scale deployments.38:50Advice for Entrepreneurs: The importance of passion, work ethic, and pursuing large-scale ambitions in the tech industry.