Name: HIKROBOT TS Series Smart AI Training Servers
Brand: HIKROBOT
SKU: MV-TS1001-64GU-512G4TR10
Availability: InStock

MV-TS1002-128GU-512G8TR10

Smart AI Training Server has built-in HIKROBOT AI Training Platform, which covers comprehensive functions and is convenient and efficient to operate. Local data Storage, safe and controllable. Equipped with high-performance CPU, it supports multi-graphics cards, realizes multi-task parallel training and model verification, greatly improves AI model development efficiency, and realizes one-stop deployment of AI model development.

Product introduction

Functional characteristics

Equipped with server-level CPU, it supports centralized management operations such as online annotation and model conversion for 20 people
Medium to high Performance GPU configuration, which can meet the training and verification of multi-person concurrent models, and is compatible with deep learning training applications of smart products
Storage supports RAID to ensure data security; supports hot plug of hard disks to facilitate physical data migration and flexible capacity expansion
Equipped with Intel® Gigabit Ethernet port, it enables high-speed and stable transmission of image data

Ordering Model

MV-TS1002-128GU-512G8TR10

Dimensions

* Data related to the product may be generated due to environmental factors and other factors Differences , the company will not bear the consequences arising therefrom.

Ordering Model

MV-TS1002-128GU-512G8TR10

is supplied by an authorized agent from the original factory of Chuanghua Research, supporting prototype testing and batch procurement.

Dimensions

Dimensions drawings can be downloaded from the product manual to view, or contact sales for CAD / PDF drawings.

Detailed parameters

Ordering Model MV-TS1002-128GU-512G8TR10

Model

Model	MV-TS1002-128GU-512G8TR10
Name	Smart AI Training Server1000 Dual Card

Performance

Processor	Intel® CoreTM i9-13900 Processor,24 cores and 32 threads
Memory	Default 128 GB; Supports 4 DDR5 U-DIMMemory slots, 32 GB per slot, and a maximum support of 128 GB
Storage	Supports 1 512 GB NVMe M.2 2280 Key-M SSD; Supports 4 4TB enterprise-class SATA3.0 3.5"HDDs (7200 rpm) to build RAID 10; Reserve 4 3.5-inch hot-swappable bays, and the Interface is consistent with the HDD above
GPU	Computing card:NVIDIA TESLA L2×2; Capacity:24 GB GDDR6X; Frequency:6251 MHz; Bandwidth:300 GB/s; Power Consumption:75 W; Computing power: INT8/FP8 TC193 TFLOPS; FP16 TC 96.5 TFLOPS;TF32 48.3 TFLOPS;FP32 24.1 TFLOPS;Interface:PCIe Gen4 x16 (64GB/s)

Interface

Network Interface	2 Gigabit Internet ports
USB Interface	2 USB3.0 Interfaces at the front; 10 USB3.0 Interfaces at the rear
Serial Port	Rear 4 RS-232 pins, 1 RS-232/422/485 pin

AI Training Service

Number of projects	No restrictions
Number of trained models	No restrictions
Number of training tasks	Support maximum 2 tasks synchronous training by default
Sub-account Management	Supports the creation of up to 20 sub-accounts for concurrent use, and can configure rights policies and allocate resources for each account.
Data set management	The maximum number of pictures in a single data set is ≤100000; the size of a single image is ≤100 MB; the maximum Resolution of a single image is <100 million pixels; there are no size and number limits for other Data Types;
Task type	Supports tasks such as object detection, image classification, character training, image retrieval, instance segmentation, anomaly detection, image segmentation, and unsupervised learning
Data annotation	Supports manual annotation, multi-person collaborative annotation, intelligent pre-annotation, and multi-task serial annotation
Model-related functions	Supports model training, post-training verification, model management and transformation, and models can be deployed to smart product platforms (such as VMs, Smart Cameras).

Electrical

Max. Power Consumption	800 W
Power Supply	100 ~ 240V AC

Mechanical

Mounting Method	Cabinet type
Dimensions	650 mm × 437.5 mm × 176.5 mm(LWH)
Weight	Approximately 28.2 kg
Temperature	Operating Temperature:0 ~ 30°C,StorageTemperature:-20°C ~ 60°C
Humidity	10%~95% RH Non-condensing