ABS ZRT9965WX-3XR9700 workstation, Threadripper Pro 9965WX, 128GB DDR5, 2x 2TB NVMe, 3x R9700 96GB VRAM
- AI Workstation
- Tower
Me võtame vastu krüptoraha — nii saab teie hoitav krüptoraha osta päris riistvara.Makske krüptorahaga, kulutage seda päris riistvarale. Tasuta kindlustatud tarne kogu maailmas, üle 399 $. Lihtsad, kaubamärgita väliskarbid, saadetud Saksamaalt.Tasuta kindlustatud tarne üle 399 $. Teie kurss lukustatakse 30 minutiks kohe, kui kassa avaneb.Kurss lukustatud 30 minutiks. Iga toode on pitseeritud, selle seerianumber on kontrollitud ja sellel kehtib 24-kuuline garantii.Pitseeritud, 24-kuulise garantiiga.
ABS
Tower workstation with 12-core Xeon W5-2455X, RTX Pro 6000 Blackwell 96 GB GDDR7, 64 GB DDR5 ECC, 2.92 TB SSD storage, Ubuntu, under 50 dB at full GPU load
Models Xeon W5-2455X · RTX Pro 6000 Blackwell · 64GB DDR5 · 1TB+2TB SSD
Läbikriipsutatud versioonid on olemas, kuid neid pole siin saadaval.
This ABS Zaurion Aqua tower workstation pairs an Intel Xeon W5-2455X processor with an NVIDIA RTX Pro 6000 Blackwell GPU that provides 96 GB of GDDR7 video memory. The system includes 64 GB of DDR5 ECC registered memory across eight slots and 2.92 TB of combined SSD storage. It ships with Ubuntu pre-installed and is assembled in the USA with TAA compliance.
Verify that your environment can accommodate a 2000 W 80 PLUS Gold power supply and the associated cooling requirements for sustained full-load operation under 50 dB. Confirm that your workloads can use the single-socket Xeon W-2400 platform with 12 cores and 24 threads. Ensure the motherboard form factor and dual 10 GbE plus management LAN connectivity match your rack or desk infrastructure.
The configuration suits AI development, data science and HPC users who need the full 96 GB GPU memory with MIG partitioning for concurrent workloads without stepping up to a higher-tier CPU. Buyers who require more than 64 GB of system memory, additional GPU cards or a multi-socket platform should look at alternative workstation configurations.
| Brand | ABS |
|---|---|
| Series | Zaurion Aqua |
| Model | ZAW5-2455X-RP6000 |
| Part Number | ZAW5-2455X-RP6000 |
| Workload | Workstation |
| Type | 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 | Intel Xeon W5-2455X |
| Number of CPU Cores | 12 |
| # of CPU Threads | 24 |
| # of Processors Installed | 1 |
| Installed Memory Size | 64GB |
| Memory Type | DDR5 |
| Memory Features | ECC |
| Number of Memory Slots | 8 |
| SSD (Installed) | OS SSD: 1TB M.2 Data SSD: 1.92TB SATA SSD |
| Servers_Graphic Installed | 1x NVIDIA RTX Pro 6000 Blackwell |
| GPU Type | NVIDIA RTX Pro 6000 Blackwell |
| Video Memory | 96GB |
| Operating System | Ubuntu |
| Power Characteristics | Single 2000W ATX 80 PLUS Gold power supply |
| Energy-Efficient | 2000W |
| Features | GIGABYTE W773-W80 GPU Workstation |
| Tarnekaal | 9.53 kg |
| Pakendi mõõtmed | 533 × 483 × 305 mm |
Selle mudeli teised versioonid
Sama seeria, erinev mälumaht, jahutus või taktsagedus — võrrelge enne otsustamist.
The workstation ships with the Intel Xeon W5-2455X, 64GB DDR5 ECC registered memory, 1TB M.2 SSD, 1.92TB SATA SSD, NVIDIA RTX Pro 6000 Blackwell with 96GB GDDR7, 2000W 80 PLUS Gold PSU, Gigabyte MW83-RP0 motherboard and Ubuntu pre-installed. Peripherals are not included.
This specific model ZAW5-2455X-RP6000 pairs the 12-core Xeon W5-2455X with the full 96GB RTX Pro 6000 Blackwell, 64GB DDR5 ECC RAM and 2.92TB total SSD storage. Other CPU or GPU tiers are different part numbers.
The 96GB GDDR7 on the RTX Pro 6000 Blackwell lets you hold large models and datasets entirely in GPU memory for AI development, data science and HPC tasks, with Universal MIG partitioning for concurrent instances.
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