Brand originChina
Discontinued
Discontinued
Dahua IVE-DP8000-GU2-HW
Category
Storage
First seen by Awernica
Oct 2026
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Latest Firmware
Not specified
No verified firmware data
Software Support
Not specified
No published date
Replacement
Not specified
No verified replacement
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Specifications
From the manufacturer's product information.
System
- Main Processor
- Two 10C/20T Xeon Silver 4114 processors 2.2 GHz (13.75M Cache)
- Operating System
- Linux
- Memory
- Four 16 GB DDR4 memory modules with up to 24 slots
- Disk
- Two 3.5"4 TB HDD which can be expanded to maximum 32 TB (each HDD is 4T) with up to 8 slots.; 7.2K RPM SATA 6 Gbps 512n 3.5"
- RAID
- Optional:; 1. SATA RAID0, 1, 5, 10; 2. SAS RAID0, 1, 5, 6, 10, 50, 60; Optional: no/1 GB/2 GB cache; Optional: power failure protection of cache
Port
- Network Port
- 2 × 10000/1000 MB self-adaptive network ports
- USB
- 2 × front USB3.0 ports and 3 × rear USB3.0 ports
- VGA
- 2 × VGA ports
- PCIe
- 6 × half-height PCI-E expansion slot (3 × PCI-E3.0x8, 2 × PCI-E3.0x16, 1 × PCI-E3.0x4))
- Others
- 1 × RJ-45 management network port
General
- Power Supply
- 100–127 V/200–240 V, 50/60 Hz, 10 A/5 A
- Power Redundancy
- Dual
- Power Consumption
- ≤ 800 W
- Operating Temperature
- 10°C to 35°C (50°F to 95°F)
- Operating Humidity
- 35%–80% (RH), maximum relative humidity is 90%(RH) (40°C).
- Storage Temperature
- –40°C to 60°C (–40°F to 140°F)
- Storage Humidity
- 20%–93% (RH)
- Gross Weight
- 29.05 kg (64.04 lb)
- Net Weight
- 19.25 kg (42.44 lb)
- Product Dimensions
- 87.1 mm × 447.6 mm × 735.0 mm (3.43" × 17.62" × 28.94") (H × W × D)
- Packaging Dimensions
- 273.0 mm × 754.0 mm × 1069.0 mm (10.74" × 29.68" × 42.09") (H × W × D)
- Installation
- Standard 19'' rack installation with guide rail
Optional
- Product Type
- Hardware
Computer Version Intelligent Engine
- Resource Management
- Supports allocating computing resources, including CPU, memory, GPU and other hardware resources. The unified management of computing resources is also supported to provide computing resources for the analytical system. Computing resources can be centrally scheduled based on service requirements, to eliminate hardware resource differences and externally provide a unified resource pool. Supports monitoring the registration process and the running status of computing resources. You can also perform operation and maintenance as needed. Virtualizes computing cards into multiple fragments, and provides refined control of computing resources.
- Service Scheduling
- The system not only supports the unified management and flexible allocation of algorithms, but it also comes with a variety of algorithms built into it. It provides a unified call interface to the application side and offers the option to select multiple functions at the same time. Schedules algorithms across different types of architecture. The algorithms easily adapt to 2 or more architectures at the same time, such as the arm and x86 architectures.; The supported options are: Face recognition, license plate recognition, pedestrian recognition, human metadata, and motor-vehicle and non-motor vehicle metadata.
- Intelligent Task Scheduling
- Manage analysis and retrieval tasks, and execute strategies for different tasks through resource scheduling modules and task scheduling strategies. Adjust task strategies based on the actual workload and task priorities, and assign intelligence analysis tasks to corresponding analysis engines for processing.
- Cluster Management
- With cluster management, you can manage multiple service modules, and enjoy access to non-stop services through cluster scheduling. The service load of each node can be adjusted based on the service load.
- Network Authentication Management
- Conveniently authorize algorithms and the number of cards for computing power servers through the network authentication.
- Third-Party Algorithm Access
- Manages third-party algorithm access. The system provides a standard interface for connecting third-party algorithms to the algorithm warehouses of intelligent view engine. You can allocate and load third-party algorithms to computing resources to realize algorithm instantiation. Service platforms can even specify the algorithm for task analysis. The intelligent view engine allocates computing power and schedules tasks.
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