AI Model Selection Insights Survey

Question Title

5. Where do you usually find or source AI models for evaluation or deployment? (Required.)

Cloud provider model catalogues, e.g. AWS, Azure, Google Cloud

Colleagues, communities, or recommendations

GitHub

Hugging Face

Internal company model registry or catalogue

Research papers or academic repositories

Vendor websites or APIs

Other (please specify)

None of the above

Question Title

6. Which deployment targets have you evaluated or deployed AI models for? (Required.)

Automotive

Cloud

Datacenter / server

Desktop / laptop

Edge devices

Embedded / MCU

Industrial systems

Mobile

Research / experimentation only

Robotics / Physical AI

Other (please specify)

None of the above

Question Title

7. How important are these factors when selecting an AI model? As you answer, consider the tradeoffs you typically make between them. (Required.)

	N/A	Not important	Slightly important	Moderately important	Very important	Essentail
Cost	Cost N/A	Cost Not important	Cost Slightly important	Cost Moderately important	Cost Very important	Cost Essentail
Documentation / examples	Documentation / examples N/A	Documentation / examples Not important	Documentation / examples Slightly important	Documentation / examples Moderately important	Documentation / examples Very important	Documentation / examples Essentail
Ease of deployment	Ease of deployment N/A	Ease of deployment Not important	Ease of deployment Slightly important	Ease of deployment Moderately important	Ease of deployment Very important	Ease of deployment Essentail
Hardware compatibility	Hardware compatibility N/A	Hardware compatibility Not important	Hardware compatibility Slightly important	Hardware compatibility Moderately important	Hardware compatibility Very important	Hardware compatibility Essentail
Latency	Latency N/A	Latency Not important	Latency Slightly important	Latency Moderately important	Latency Very important	Latency Essentail
Licensing	Licensing N/A	Licensing Not important	Licensing Slightly important	Licensing Moderately important	Licensing Very important	Licensing Essentail
Memory footprint	Memory footprint N/A	Memory footprint Not important	Memory footprint Slightly important	Memory footprint Moderately important	Memory footprint Very important	Memory footprint Essentail
Model size	Model size N/A	Model size Not important	Model size Slightly important	Model size Moderately important	Model size Very important	Model size Essentail
Please select 'N/A' to show you are paying attention	Please select 'N/A' to show you are paying attention N/A	Please select 'N/A' to show you are paying attention Not important	Please select 'N/A' to show you are paying attention Slightly important	Please select 'N/A' to show you are paying attention Moderately important	Please select 'N/A' to show you are paying attention Very important	Please select 'N/A' to show you are paying attention Essentail
Power / energy efficiency	Power / energy efficiency N/A	Power / energy efficiency Not important	Power / energy efficiency Slightly important	Power / energy efficiency Moderately important	Power / energy efficiency Very important	Power / energy efficiency Essentail
Quantization readiness	Quantization readiness N/A	Quantization readiness Not important	Quantization readiness Slightly important	Quantization readiness Moderately important	Quantization readiness Very important	Quantization readiness Essentail
Reliability / stability	Reliability / stability N/A	Reliability / stability Not important	Reliability / stability Slightly important	Reliability / stability Moderately important	Reliability / stability Very important	Reliability / stability Essentail
Runtime compatibility	Runtime compatibility N/A	Runtime compatibility Not important	Runtime compatibility Slightly important	Runtime compatibility Moderately important	Runtime compatibility Very important	Runtime compatibility Essentail
Task accuracy	Task accuracy N/A	Task accuracy Not important	Task accuracy Slightly important	Task accuracy Moderately important	Task accuracy Very important	Task accuracy Essentail
Throughput	Throughput N/A	Throughput Not important	Throughput Slightly important	Throughput Moderately important	Throughput Very important	Throughput Essentail

Other (please specify)

Question Title

8. What would make a model recommendation from Arm feel trustworthy? (Required.)

	N/A	Not important	Slightly important	Moderately important	Very important	Essential
Arm-verified performance measurements	Arm-verified performance measurements N/A	Arm-verified performance measurements Not important	Arm-verified performance measurements Slightly important	Arm-verified performance measurements Moderately important	Arm-verified performance measurements Very important	Arm-verified performance measurements Essential
Clear explanation of why the model is recommended	Clear explanation of why the model is recommended N/A	Clear explanation of why the model is recommended Not important	Clear explanation of why the model is recommended Slightly important	Clear explanation of why the model is recommended Moderately important	Clear explanation of why the model is recommended Very important	Clear explanation of why the model is recommended Essential
Comparison with similar models	Comparison with similar models N/A	Comparison with similar models Not important	Comparison with similar models Slightly important	Comparison with similar models Moderately important	Comparison with similar models Very important	Comparison with similar models Essential
Known limitations or caveats	Known limitations or caveats N/A	Known limitations or caveats Not important	Known limitations or caveats Slightly important	Known limitations or caveats Moderately important	Known limitations or caveats Very important	Known limitations or caveats Essential
Licensing / compliance information	Licensing / compliance information N/A	Licensing / compliance information Not important	Licensing / compliance information Slightly important	Licensing / compliance information Moderately important	Licensing / compliance information Very important	Licensing / compliance information Essential
Quantization / optimization details	Quantization / optimization details N/A	Quantization / optimization details Not important	Quantization / optimization details Slightly important	Quantization / optimization details Moderately important	Quantization / optimization details Very important	Quantization / optimization details Essential
Reproducible tests, code, and methodology	Reproducible tests, code, and methodology N/A	Reproducible tests, code, and methodology Not important	Reproducible tests, code, and methodology Slightly important	Reproducible tests, code, and methodology Moderately important	Reproducible tests, code, and methodology Very important	Reproducible tests, code, and methodology Essential
Tested hardware and software configuration	Tested hardware and software configuration N/A	Tested hardware and software configuration Not important	Tested hardware and software configuration Slightly important	Tested hardware and software configuration Moderately important	Tested hardware and software configuration Very important	Tested hardware and software configuration Essential

Other (please specify)

Question Title

9. Is there anything else you’d like to share about how you evaluate, compare, or select AI models?

Question Title

10. If you’d like to to be contacted about future Arm user research opportunities and incentives, please leave your details below so that we can follow up.

Name:

Email:

AI Model Selection Insights

Question Title

1. Which best describes your role? (Required.)

Question Title

2. Which industry or domain best describes your AI work? (Required.)

Question Title

3. Which AI model types or tasks have you worked with hands-on? (Required.)

Question Title

4. Which AI model providers or vendors have you worked with or evaluated? (Required.)

Question Title

5. Where do you usually find or source AI models for evaluation or deployment? (Required.)

Question Title

6. Which deployment targets have you evaluated or deployed AI models for? (Required.)

Question Title

7. How important are these factors when selecting an AI model? As you answer, consider the tradeoffs you typically make between them. (Required.)

Question Title

8. What would make a model recommendation from Arm feel trustworthy? (Required.)

Question Title

9. Is there anything else you’d like to share about how you evaluate, compare, or select AI models?

Question Title

10. If you’d like to to be contacted about future Arm user research opportunities and incentives, please leave your details below so that we can follow up.

AI Model Selection Insights

Question Title

* 1. Which best describes your role? (Required.)

Question Title

* 2. Which industry or domain best describes your AI work? (Required.)

Question Title

* 3. Which AI model types or tasks have you worked with hands-on? (Required.)

Question Title

* 4. Which AI model providers or vendors have you worked with or evaluated? (Required.)

Question Title

* 5. Where do you usually find or source AI models for evaluation or deployment? (Required.)

Question Title

* 6. Which deployment targets have you evaluated or deployed AI models for? (Required.)

Question Title

* 7. How important are these factors when selecting an AI model? As you answer, consider the tradeoffs you typically make between them. (Required.)

Question Title

* 8. What would make a model recommendation from Arm feel trustworthy? (Required.)

Question Title

* 9. Is there anything else you’d like to share about how you evaluate, compare, or select AI models?

Question Title

* 10. If you’d like to to be contacted about future Arm user research opportunities and incentives, please leave your details below so that we can follow up.

1. Which best describes your role? (Required.)

2. Which industry or domain best describes your AI work? (Required.)

3. Which AI model types or tasks have you worked with hands-on? (Required.)

4. Which AI model providers or vendors have you worked with or evaluated? (Required.)

5. Where do you usually find or source AI models for evaluation or deployment? (Required.)

6. Which deployment targets have you evaluated or deployed AI models for? (Required.)

7. How important are these factors when selecting an AI model? As you answer, consider the tradeoffs you typically make between them. (Required.)

8. What would make a model recommendation from Arm feel trustworthy? (Required.)

9. Is there anything else you’d like to share about how you evaluate, compare, or select AI models?

10. If you’d like to to be contacted about future Arm user research opportunities and incentives, please leave your details below so that we can follow up.