- Lab Test 1: One Million Vector Search (Data source: SIFT1B)
- Lab Test 2: 100-Million-Scale Vector Search (Data source: SIFT1B)
- Extended Test: One Billion Vector Search (Data source: SIFT1B)
- Edge Deployment: ARM Platform
| Component | Minimum Config |
|---|---|
| OS | Ubuntu LTS 18.04 |
| CPU | Intel Core i5-8250U |
| GPU | Nvidia GeForce MX150, 2GB GDDR5 |
| GPU Driver | CUDA 10.1, Driver 418.74 |
| Memory | 4 GB DDR4 ( 2400 Mhz ) x 2 |
| Storage | NVMe SSD 256 GB |
About 15 GB memory is needed in this test.
| Component | Minimum Config |
|---|---|
| OS | Ubuntu LTS 18.04 |
| CPU | Intel Core i7-8700 |
| GPU | Nvidia GeForce GTX 1060, 6GB GDDR5 |
| GPU Driver | CUDA 10.1, Driver 418.74 |
| Memory | 16 GB DDR4 ( 2400 Mhz ) x 2 |
| Storage | SATA 3.0 SSD 256 GB |
About 140 GB memory is needed in this test.
| Component | Minimum Config |
|---|---|
| OS | CentOS 7.6 |
| CPU | Intel Xeon E5-2678 v3 @ 2.50GHz x 2 |
| GPU | Nvidia GeForce GTX 1080, 8GB GDDR5 x 2 |
| GPU Driver | CUDA 10.1, Driver 418.74 |
| Memory | 256 GB |
| Storage | NVMe SSD 2 TB |
Edge deployment was tested on face search in a million-face library (512-dimensional vectors, FP32)
| Component | Minimum Config |
|---|---|
| OS | Ubuntu LTS 18.04.2 |
| CPU | Quad-core ARM Cortex-A57 @ 1.43GHz |
| Memory | 4GB 64-bit LPDDR4 @ 1600MHz ( 25.6 GB/s ) |
| Storage | 16 GB eMMC 5.1 Flash |
Note: The experiments on ARM platform is not included in this Boot Camp. To learn more details about it, please contact us.