Sandeep79 articles in AI Hardware — page 1 of 4. Practical, up-to-date guides written to be found, answered, and cited.
Edge TPU Deployments in Production: Lessons and Pitfalls — a practical 2026 guide to edge TPU deployments, core concepts, best practices, real data and FAQs.
Edge TPU Deployments: A Practical Guide for 2027 — a practical 2026 guide to edge TPU deployments: a practical, for developers and founders, updated for 2026.
Edge TPU Deployments: Interview Questions to Expect in 2027 — a practical 2026 guide to edge TPU deployments: interview questions, by Sandeep Kumar Chaudhary.
How Edge TPU Deployments Works Under the Hood — a practical 2026 guide to under the hood, core concepts, best practices, real data and FAQs, updated for 2026.
Getting Started With The Economics of HBM Memory: A Developer Walkthrough — a practical 2026 guide to getting started, for developers and founders.
The Developer's Roadmap to The Economics of HBM Memory — a practical 2026 guide to developer's roadmap to the economics, for developers and founders.
The Economics of HBM Memory in Production: Lessons and Pitfalls — a practical 2026 guide to economics of hbm memory, for developers and founders.
The Economics of HBM Memory: A Practical Guide for 2027 — a practical 2026 guide to economics of hbm memory:, for developers and founders, updated for 2026.
On-Device LLMs: Mistakes Teams Make and How to Avoid Them — a practical 2026 guide to on device llms: mistakes teams, for developers and founders.
Is On-Device LLMs Ready for Prime Time? An Honest Assessment — a practical 2026 guide to on device LLMs ready, for developers and founders, updated for 2026.
Why Your Next Laptop Ships With an NPU — and What It Runs — a practical 2026 guide to next laptop ships, core concepts, best practices, real data and FAQs.
Getting Started With On-Device LLMs: A Developer Walkthrough — a practical 2026 guide to getting started, core concepts, best practices, real data and FAQs.
The Developer's Roadmap to On-Device LLMs — a practical 2026 guide to developer's roadmap to on device LLMs, for developers and founders, updated for 2026.
Dedicated Inference Accelerators: Interview Questions to Expect in 2027 — a practical 2026 guide to dedicated inference accelerators: interview questions.
How Dedicated Inference Accelerators Works Under the Hood — a practical 2026 guide to under the hood, core concepts, best practices, real data and FAQs.
Dedicated Inference Accelerators: Mistakes Teams Make and How to Avoid Them — a practical 2026 guide to dedicated inference accelerators: mistakes teams.
Is Dedicated Inference Accelerators Ready for Prime Time? An Honest Assessment — a practical 2026 guide to dedicated inference accelerators ready.
NPU Programming for Developers in Production: Lessons and Pitfalls — a practical 2026 guide to NPU programming, for developers and founders, updated for 2026.
NPU Programming for Developers: A Practical Guide for 2027 — a practical 2026 guide to NPU programming, core concepts, best practices, real data and FAQs.
NPU Programming for Developers: Interview Questions to Expect in 2027 — a practical 2026 guide to NPU programming, for developers and founders.
How NPU Programming for Developers Works Under the Hood — a practical 2026 guide to NPU programming, core concepts, best practices, real data and FAQs.
The Future of AI Chips: Photonics, Chiplets, and Beyond — a practical 2026 guide to future of AI chips: photonics,, for developers and founders.
How Photonic Interconnects Scale AI Clusters Past Copper — a practical 2026 guide to photonic interconnects scale AI clusters, for developers and founders.
Best Open-Source Tools for RISC-V Chip Design in 2026 — a practical 2026 guide to open source tools, core concepts, best practices, real data and FAQs.