ABS ZRE4565P-RP4500 workstation EPYC 4565P 16-core RTX PRO 4500 32GB 128GB DDR5 4TB NVMe
- GPU Workstation
- Mid-tower
Mēs pieņemam kriptovalūtu — lai tā, kas Jums pieder, varētu nopirkt īstu aparatūru.Maksājiet kriptovalūtā, iztērējiet to īstai aparatūrai. Bezmaksas apdrošināta piegāde visā pasaulē virs 399 $. Vienkāršas, nemarķētas kastes, sūtītas no Vācijas.Bezmaksas apdrošināta piegāde virs 399 $. Jūsu kurss tiek fiksēts uz 30 minūtēm, tiklīdz atveras kase.Kurss fiksēts uz 30 minūtēm. Katra prece ir aizzīmogota, tās sērijas numurs ir pārbaudīts, un uz to attiecas 24 mēnešu garantija.Aizzīmogots, 24 mēnešu garantija.
ABS
A 16-core AMD Ryzen 9950X3D workstation with 128 GB ECC DDR5, 2×2 TB NVMe storage, and an RTX PRO 6000 MaxQ Blackwell GPU delivering 96 GB GDDR7 at 300 W for AI development
Option RTX Pro 6000 MaxQ Blackwell 96GB - AMD Ryzen 9950X3D
This mid-tower workstation targets AI researchers who need maximum GPU memory for large-model inference and experimentation. It ships with Ubuntu and OpenClaw pre-installed, and the operating system can be changed to Windows by request. The system is built around a single AMD Ryzen 9950X3D processor and an NVIDIA RTX PRO 6000 MaxQ Blackwell GPU.
The workstation arrives assembled with liquid cooling on the CPU and a standard 1000 W 80 PLUS Platinum power supply. No component installation is required by the buyer. Compliance documents are required before purchase can be completed, which adds an administrative step not found on typical retail systems.
The GPU provides 96 GB of GDDR7 memory with ECC, allowing the largest open-weight models in this family to load entirely on one card. The GPU operates at a listed 300 W power budget, half the full-power edition's 600 W, while retaining the full flagship memory capacity.
| Brand | ABS |
|---|---|
| Series | Zaurion Ruby |
| Model | ZRR9950X3D-RP6000MQ |
| Part Number | ZRR9950X3D-RP6000MQ |
| Workload | AI Workstation |
| Type | Mid-tower |
| AI Features | AI Development: Accelerate AI development and inference workloads, and build agentic AI applications. Data Science: Accelerate your data pipelines. HPC: Accelerate scientific breakthroughs with enhanced accuracy. AI-Driven Rendering and Graphics: Deliver stunningly realistic designs and simulations with speed and precision. Video Content and Streaming: Boost performance for live media and video pipelines. Game Development: Drive new possibilities for game development with AI. |
| CPU Type | AMD Ryzen 9950X3D |
| CPU Speed | 4.3 GHz, maximum turbo frequency of 5.7 GHz |
| CPU Socket | Socket AM5 |
| Number of CPU Cores | 16-Core Processor |
| Cache Memory | 128 MB of L3 cache |
| CPU Features | Liquid cooling |
| # of Processors Installed | 1 |
| MAX Processors | 1 |
| Installed Memory Size | 128GB |
| Memory Type | DDR5 |
| Max Memory Capacity | 256GB |
| Memory Features | ECC UDIMM |
| Number of Memory Slots | 4 |
| SSD (Installed) | 2 x 2TB M.2 NVMe |
| Servers_Graphic Installed | 1x NVIDIA RTX Pro 6000 Blackwell MaxQ 300W |
| GPU Type | NVIDIA RTX Pro 6000 Blackwell MaxQ 300W |
| Video Memory | 96GB GDDR7 ECC |
| LAN Ports | 1 x 10Gb RJ45, 1 x 2.5Gb RJ45 |
| Expansion Slots | 1 x PCIe 5.0 x16 slot, 1 x PCIe 4.0 x16 slot |
| Management Port | 1 x 10/100/1000 Mbps |
| Operating System | Ubuntu |
| Power Characteristics | Single 1000W ATX 80 PLUS Platinum |
| Dimensions | 17.5" x 9.17" x 19.45" |
| Sūtījuma svars | 36.95 kg |
| Sūtījuma izmēri | 787 × 635 × 635 mm |
Citas šī modeļa versijas
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Check GPU power draw in NVIDIA SMI or the system monitoring utility; it should report a 300 W GPU budget under load, matching the spec for this RTX PRO 6000 MaxQ Blackwell card.
The box contains the mid-tower chassis with AMD Ryzen 9 9950X3D 16-core CPU, liquid cooling, 128 GB ECC DDR5 UDIMM, 2x 2 TB NVMe M.2 drives, RTX PRO 6000 MaxQ 96 GB GDDR7 GPU, ASUS Pro WS B850M-ACE SE motherboard, 1000 W 80 PLUS Platinum PSU, and Ubuntu with OpenClaw pre-installed. No extra parts are required for operation.
The system ships with 128 GB ECC DDR5 UDIMM across four slots and supports up to 256 GB total; select 256 GB if your models and datasets need more host memory than the 96 GB GDDR7 VRAM provides.
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