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Product Management Improvement Question: Enhancing Graphcore's Poplar SDK for increased developer productivity in AI acceleration

What features could be added to Graphcore's Poplar SDK to improve developer productivity?

Product Improvement Hard Member-only
Product Strategy User Segmentation Feature Prioritization Artificial Intelligence Hardware Acceleration Developer Tools
Developer Experience Graphcore AI Development SDK Optimization Hardware Acceleration

Introduction

To improve developer productivity with Graphcore's Poplar SDK, we need to identify key pain points and propose innovative solutions that align with the company's strategic goals. I'll analyze user segments, prioritize pain points, generate solutions, and outline metrics for measuring success. Let's begin by clarifying some crucial aspects of the product and its ecosystem.

Step 1

Clarifying Questions (5 mins)

  • Looking at Graphcore's position in the AI accelerator market, I'm curious about our competitive landscape. Could you share insights on how Poplar SDK compares to other AI development frameworks like CUDA or ROCm in terms of developer adoption and performance?

Why it matters: Determines our focus areas for improvement and potential differentiation strategies. Expected answer: Poplar SDK has strong performance but lags in developer adoption compared to CUDA. Impact on approach: Would prioritize ease of use and ecosystem expansion over raw performance gains.

  • Considering the rapid evolution of AI technologies, I'm wondering about our user base composition. Can you provide a breakdown of our current users in terms of industry verticals (e.g., research institutions, enterprise AI teams, startups) and their primary use cases?

Why it matters: Helps tailor improvements to the needs of our most valuable user segments. Expected answer: Mix of research institutions and enterprise AI teams, with growing interest from startups. Impact on approach: Would balance advanced features for researchers with simplified workflows for enterprises.

  • Given the critical role of developer experience in SDK adoption, I'm interested in our current user satisfaction metrics. Do we have Net Promoter Score (NPS) data or other feedback mechanisms in place, and what are the key areas of praise or concern from our users?

Why it matters: Identifies immediate improvement opportunities and areas of strength to build upon. Expected answer: Moderate NPS with praise for performance but concerns about learning curve and documentation. Impact on approach: Would focus on enhancing documentation, tutorials, and onboarding experience.

  • Considering Graphcore's broader product strategy, I'm curious about the roadmap for hardware innovations. Are there upcoming IPU advancements that the Poplar SDK needs to support, and how might these impact our development priorities?

Why it matters: Ensures SDK improvements align with future hardware capabilities and company direction. Expected answer: Next-gen IPUs with increased core count and memory bandwidth planned for next year. Impact on approach: Would prioritize scalability and memory management features in the SDK.

Tip

At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.

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