Sahin Boydas
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AI Hardware and Infrastructure

AI chip development, cloud infrastructure, compute optimization, hardware trends

57 articles·6 content types
Audience

Infrastructure engineers, hardware founders, cloud architects, investors

Pain Points

GPU scarcity, compute costs, power consumption, supply chain complexity

Subtopics
GPU computingAI chipsdata centersedge computingcloud optimization
Opinion2026-02-06

From TPU to Your Own Custom Silicon: A Founder's Journey

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.

Guide2026-01-26

Surviving the GPU Apocalypse: A Founder's Guide to the Shortage

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.

Opinion2026-01-18

The 6 AI Infrastructure Mistakes That Are Secretly Killing Your Startup

Six costly AI infrastructure errors: betting only on NVIDIA, dismissing custom silicon, one data center, the wrong cloud, no GPU plan, ignoring inference.

List2026-01-10

15 Lessons on Building a Custom AI Chip

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.

Opinion2026-01-03

Cerebras Systems — Portfolio Company | Angel Investment by Sahin Boydas

Building the world's largest AI chips for training and inference at unprecedented scale.

Opinion2025-12-31

Why the Future of AI Is Not in the Cloud 338

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.

Opinion2025-12-28

The Counterintuitive Truth About AI Chip Design 869

The best chip fits the workload; it is not the fastest. Custom silicon like TPUs, Trainium and Dojo, edge chips, data center co-design and the talent gap.

Opinion2025-12-15

Endolith — Portfolio Company | Angel Investment by Sahin Boydas

Advanced materials and nanotechnology for industrial applications.

Comparison2025-12-04

Edge AI vs. Cloud AI: The Ultimate Showdown for Developers

Cloud GPUs bring cost and latency real-time AI can't afford; edge AI cuts both. Where TPUs, custom silicon and quantum computing fit in a hardware plan.

Opinion2025-11-17

The Top 7 AI Hardware Trends to Watch in 2027

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.

Opinion2025-10-31

Why the Future of AI Is Not in the Cloud 232

Cloud AI is a good start and a costly finish: GPU bottlenecks, data gravity pulling compute to the edge, and why custom silicon like TPUs points the way.

Opinion2025-10-25

I Ditched the Cloud for Bare Metal and My Bill Dropped 62%

Cloud AI pays a hypervisor tax; bare metal gives direct hardware access and more performance. When to switch, and why custom silicon comes next.

Opinion2025-10-14

The Counterintuitive Truth About AI Chip Design

The GPU shortage forced leaner AI, custom silicon is costly and slow, and edge chips are rising. The right hardware for the problem beats the fastest chip.

Opinion2025-09-18

The Counterintuitive Truth About AI Chip Design 340

More GPUs rarely fix the problem: fit hardware to the job, weigh custom ASICs when stock chips fall short, watch edge AI, skip the TPU and quantum hype.

List2025-09-10

11 Lessons on Building a Custom AI Chip

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.

Opinion2025-09-07

Rigetti Computing — Portfolio Company | Angel Investment by Sahin Boydas

Full-stack quantum computing company building quantum processors.

Opinion2025-09-06

IonQ — Portfolio Company | Angel Investment by Sahin Boydas

Trapped-ion quantum computing for enterprise and research applications.

Opinion2025-09-03

Behind the Scenes of a Hyperscale AI Data Center 524

GPU waitlists, cloud bills that eat a seed round, power, cooling and supply chains: what AI data centers take, and why custom silicon is the long game.

Opinion2025-08-30

Why Most Founders Get AI Infrastructure Completely Wrong

AI startups stumble on hardware, not models: GPU shortages, cloud lock-in, ignored edge AI. The case for owned hardware and custom silicon; skip quantum.

Case Study2025-08-18

What AI Hardware Teaches Founders

How AI hardware choices make or break a startup: GPU shortages, cloud versus owned clusters, custom chips, and what each option really costs founders.