ASUS ESC8000-E12P 8SFF/NVMe
- Condition
- New
- Manufacturer
- ASUS
- Form factor
- 4U
- CPU
- 2x Intel Xeon 6962P (72c/144t, 2.7GHz-3.9GHz, 500W)
- RAM
- 512GB (DDR5 ECC REG)
- GPU
- 8 x NVIDIA RTX PRO 6000 Blackwell
- Accelerator model
- NVIDIA RTX PRO 6000 Blackwell Server Edition
- Installed GPU count
- 8
- Maximum GPU count
- 8 double-width GPUs
- Memory per GPU
- 96GB GDDR7 ECC
- Total GPU memory
- 768GB
- GPU memory bandwidth
- 1597 GB/s per GPU
- GPU form factor
- PCIe FHFL
- GPU interconnect
- PCIe
- GPU-to-CPU interface
- PCIe 5.0 x16 per GPU
- Supported compute data types
- FP64, FP32, TF32, BF16, FP16, FP8, FP4, INT8
- GPU virtualization
- NVIDIA vGPU, SR-IOV, GPU passthrough
- MIG support
- Up to 4 isolated GPU instances per GPU
- Software ecosystem
- NVIDIA CUDA, NVIDIA AI Enterprise, NVIDIA RTX and NVIDIA Omniverse
- Cooling
- Air cooling; passive dual-slot GPUs with dedicated chassis airflow and hot-swap fan modules
- Recommended workloads
- Enterprise AI training and inference, fine-tuning, professional visualization, rendering, digital twins, simulation, VDI and video processing
- Dimensions
- 175 x 439.5 x 800 mm (H x W x D)
- Weight
- 42 kg
Need a technical consultation on choosing a server?
Submit a requestASUS ESC8000-E12P 8SFF/NVMe is an expansion-oriented 4U enterprise GPU server storage configuration with eight 2.5-inch SFF/NVMe hot-swap drive bays. It is designed for system integrators, visual computing teams, research labs, and enterprise data centers that need flexible local storage for AI inference, rendering, simulation, and data science.
Key features:
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Storage basket and service access: The configuration provides eight front 2.5-inch hot-swap positions with an NVMe-capable backplane. Front-accessible hot-swap serviceability helps reduce planned maintenance time.
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Installed accelerator subsystem: The installed accelerator subsystem contains 8 NVIDIA RTX PRO 6000 Blackwell Server Edition accelerators with 768GB (8 x 96GB) of aggregate GPU memory. The configuration is sized for sustained enterprise workloads rather than a general-purpose display role.
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High-bandwidth data path: The GPU fabric uses PCIe. Storage, GPU and network paths are arranged to support high-throughput data movement and minimize avoidable I/O bottlenecks.
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Enterprise compute platform: The compute subsystem is configured as follows: CPU: 2 x Intel Xeon 6962P; memory: 512GB DDR5; slots: 32 DDR5 DIMM. This provides CPU, memory and PCIe resources for feeding the accelerator complex and hosting production services.
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Management and availability: ASUS ASMB12-iKVM, ASUS Control Center and 3+1 x 3200W 80 PLUS Titanium redundant power supplies support remote administration, planned component replacement and resilient operation in the data center.
Use cases:
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AI model training and fine-tuning: Uses the installed NVIDIA RTX PRO 6000 Blackwell Server Edition subsystem for deep learning, generative AI and large-model development.
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Inference and production AI services: Provides GPU memory and parallel compute for LLM, multimodal and enterprise inference workloads.
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HPC, simulation and analytics: Accelerates scientific computing, numerical simulation, data science and other parallel workloads supported by the NVIDIA RTX PRO 6000 Blackwell Server Edition.
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Data-intensive pipelines: Combines 8-bay 2.5-inch SFF/NVMe storage with high-bandwidth GPU and network paths for datasets, checkpoints, staging and local scratch storage.
ASUS ESC8000-E12P 8SFF/NVMe is a purpose-built 4U GPU platform for organizations that need 8-bay 2.5-inch SFF/NVMe storage, 768GB (8 x 96GB) of installed GPU memory and enterprise-class management in one deployable system.
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