English
Industry Expert Blogs
|
Evaluating AI/ML Processors - Why Batch Size MattersQuadric Blog - QuadricNov. 28, 2024 |
If you are comparing alternatives for an NPU selection, give special attention to clearly identifying how the NPU/GPNPU will be used in your target system, and make sure the NPU/GPNPU vendor is reporting the benchmarks in a way that matches your system needs.
When evaluating benchmark results for AI/ML processing solutions, it is very helpful to remember Shakespeare’s Hamlet, and the famous line: “To be, or not to be.” Except in this case the “B” stands for Batched.
Related Blogs
- Mitigating Side-Channel Attacks In Post Quantum Cryptography (PQC) With Secure-IC Solutions
- Intel Embraces the RISC-V Ecosystem: Implications as the Other Shoe Drops
- Digitizing Data Using Optical Character Recognition (OCR)
- Experts Talk: RISC-V CEO Calista Redmond and Maven Silicon CEO Sivakumar P R on RISC-V Open Era of Computing
- Can You Rely Upon your NPU Vendor to be Your Customers' Data Science Team?