Developers investing in local AI hardware struggle to compare real-world performance across systems. Build a service that tests and publishes standardized benchmarks for popular AI workloads on different hardware configurations. Hardware buyers would pay for objective data to inform purchasing decisions. Start by benchmarking common models on Apple Silicon before expanding to other platforms. The risk is keeping pace with rapidly evolving hardware and models.
aihardware
Local AI benchmark reports
Create standardized benchmarks for running AI models on local hardware. Target developers choosing workstations for AI development.
Why now
As local AI grows, buyers need clear performance comparisons.
- Who for
- AI developers buying hardware
- Business model
- Sponsored hardware listings
- Effort
- A few weeks
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