Vision controllers
Hikrobot MV-TS1004-256GR-960G16TR10 AI training server 1000 quad-GPU standard
Model MV-TS1004-256GR-960G16TR10
Hikrobot MV-TS1004-256GR-960G16TR10 AI training server 1000 quad-GPU standard. Server-grade CPU supports online annotation by 40 users, model conversion and other centralized management operations Mid-to-high-performance GPU handles concurrent multi-user model training and validation; compatible with deep-learning training for the full range of smart products
Datasheet (PDF, Chinese) - MV-TS1004-256GR-960G16TR10CAD: 3D STEP + 2D DXF (ZIP) - MV-TS1004-256GR-960G16TR10
Features
- Server-grade CPU supports online annotation by 40 users, model conversion and other centralized management operations
- Mid-to-high-performance GPU handles concurrent multi-user model training and validation; compatible with deep-learning training for the full range of smart products
- RAID storage for data security; hot-swappable drives for physical data migration and flexible expansion
- Intel® GigE / 10G fiber ports for fast, stable image data transfer
Specifications
| Model | MV-TS1004-256GR-960G16TR10 |
|---|---|
| Brand | Hikrobot |
| CPU | Xeon® Silver 4314+ processor, 16 cores / 32 threads × 2 |
| Memory | 256 GB default, 32 DDR4 memory slots, 64 GB per module, Up to 2 TB |
| Storage | Supports 1 × 960 GB SATA SSD; Supports 4 × 8 TB enterprise SATA3.5" HDD (7200 rpm) in RAID 10 |
| GPU | Compute card: NVIDIA TESLA L2×4; Capacity: 24 GB GDDR6; Bandwidth: 300 GB/s; Power: 75 W; Compute: INT8/FP8 TC 193 TFLOPS; FP16 TC 96.5 TFLOPS; TF32 48.3 TFLOPS; FP32 24.1 TFLOPS; Interface: PCIe Gen4 x16 (64 GB/s) |
| Network interface | 2× Gigabit Ethernet ports, 2 × 10G fiber ports |
| USB Interface | 2 × front USB3.0 ports; 2 × rear USB3.0 ports; Built-in 1× USB 3.0 port |
| Serial Port | Rear 1 × RJ-45 ports |
| Projects | Unlimited |
| Training models | Unlimited |
| Training tasks | Up to 4 concurrent training tasks by default |
| Sub-account management | Up to 40 concurrent sub-accounts, Per-account permission policies and resource allocation |
| Dataset management | Max. images per dataset ≤ 100000; Single image size ≤ 100 MB; Max. single-image resolution < 100 MP; No size or quantity limits for other data types; Upload of JPG, JPEG, PNG, BMP images supported, and direct upload of ZIP archives (may include annotation data) |
| Task types | Object detection supported, Image classification, Character training, Image retrieval, Instance segmentation, Anomaly detection, Image segmentation, Unsupervised learning and other tasks |
| Data labeling | Manual labeling supported, Collaborative multi-user labeling, Smart pre-labeling, Multi-task serial labeling |
| Model functions | Model training supported, Post-training validation, Model management and conversion, Models deployable to smart product platforms (e.g. VM, smart cameras). |
| Max. power consumption | 900 W |
| Power supply | 240V DC/5A or 100-240V AC/10-5.5A |
| Installation method | Cabinet type |
| Dimension | 790 mm ×447 mm × 86.1 mm(L*W*H) |
| Weight | Approx. 35.5 kg |
| Temperature | Operating temp.: 5 to 45 °C, ; Storage temperature (up to 3 months): -30°C to +60°C; Storage temperature (up to 6 months): -15°C to +45°C; Storage temperature (within 1 year): -10°C to +35°C |
| Humidity | Operating humidity: 8% to 90%; Storage humidity (up to 3 months): 8% to 85%; Storage humidity (up to 6 months): 8% to 80%; Storage humidity (within 1 year): 20% to 75% |
| Shipping weight (estimated) | 49.80 kg |
Complete the station
The configurator matches a camera, lens, light, light controller and cables to each other, and to this part.
Configure a system Selection guideOther sizes in the AI Training Server series
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