Gigabyte G893-SD1-AAX3 8NVMe
- Condition
- New
- Manufacturer
- GIGABYTE
- Form factor
- 8U
- CPU
- 2x Intel Xeon Platinum 8558 (48C 260M Cache 2.10 GHz)
- RAM
- 32x 64GB DDR5 RDIMM 5600MHz (Support up to 32 DIMM xrtov DDR5)
- Power supply unit
- 8x 3000W Titanium
- HDD
- 4x 3.84TB NVMe U.2 PM9A3/ 2x 960GB NVMe U.2 PM9A3 (up to 8 HDD 2.5'' NVMe)
- NIC card
- 2x 1 port 400Gb/s OSFP/ 1x 2 port 100Gb/s PCIe
- GPU
- 8 x NVIDIA H200 HGX
- Accelerator manufacturer
- NVIDIA
- Accelerator model
- NVIDIA H200 (HGX H200)
- Installed GPU/APU count
- 8
- Maximum GPU/APU count
- 8
- Memory per accelerator
- 141GB
- Total accelerator memory
- 1128GB
- GPU memory type
- HBM3e
- Accelerator memory bandwidth
- 4.8TB/s per GPU
- Accelerator form factor
- SXM
- Accelerator interconnect
- Fourth-generation NVIDIA NVLink with NVSwitch
- Accelerator-to-CPU interface
- PCIe 5.0 x16 per GPU through the HGX baseboard
- Supported compute data types
- FP64, FP32, TF32, BF16, FP16, FP8, INT8
- Accelerator virtualization
- NVIDIA vGPU, SR-IOV and GPU passthrough
- MIG support
- Up to 7 isolated GPU instances per GPU
- Software ecosystem
- NVIDIA CUDA, NVIDIA AI Enterprise and NVIDIA Transformer Engine
- Maximum system power
- 24kW
- Cooling
- Air cooling with passive SXM accelerator modules and a dedicated GPU-tray fan array
- Recommended workloads
- Large-model AI training, fine-tuning and inference, LLM and NLP workloads, HPC, simulation, analytics and data science
- Dimensions
- 351 x 447 x 923 mm (H x W x D)
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Submit a requestGigabyte G893-SD1-AAX3 8NVMe is an 8U enterprise GPU server storage configuration with eight front-accessible 2.5-inch NVMe positions, with six enterprise NVMe SSDs installed. It is designed for AI factories, research centers, cloud providers and enterprise data centers that need fast local storage for accelerated workloads.
Key features:
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Storage basket and service access: The chassis provides eight front 2.5-inch PCIe Gen5 NVMe/SATA hot-swap positions. Six positions are populated with four 3.84TB and two 960GB Samsung PM9A3 U.2 NVMe SSDs; two positions remain available for expansion.
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Accelerator subsystem: The installed accelerator subsystem contains 8 x NVIDIA H200 SXM 141GB (HGX H200), providing 1,128GB (8 x 141GB) of aggregate GPU memory. Fourth-generation NVIDIA NVLink with NVSwitch; 900 GB/s per GPU.
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Storage topology and data path: The installed front storage provides 17.28TB of raw NVMe capacity. Two internal M.2 slots use PCIe Gen3 x2 and x1 interfaces, separating boot or service storage from the front data set.
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Enterprise compute platform: The compute subsystem is configured with 2 x Intel Xeon Platinum 8558 processors and 2,048GB (32 x 64GB RDIMM at 5600 MT/s) DDR5 ECC registered memory across a 32-DIMM platform. It supplies CPU, memory and PCIe resources for the accelerator complex and production services.
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Management and availability: ASPEED AST2600 BMC, dedicated management LAN, GIGABYTE Management Console and 2 x 10GbE Intel X710-AT2; 4+4 x 3000W 80 PLUS Titanium redundant power supplies. These facilities support remote administration, health monitoring and resilient operation.
Use cases:
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AI model training and fine-tuning: Uses the installed NVIDIA H200 SXM 141GB (HGX H200) subsystem for training, fine-tuning and large-model development.
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Inference and production AI services: Provides parallel compute and accelerator memory for LLM, multimodal and enterprise inference services.
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HPC, simulation and analytics: Accelerates scientific computing, numerical simulation, analytics and other parallel workloads supported by NVIDIA H200 SXM 141GB (HGX H200).
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Data-intensive pipelines: Combines the eight-position front basket and 17.28TB of installed NVMe capacity with high-bandwidth GPU and network paths for datasets, checkpoints, staging and local scratch storage.
Gigabyte G893-SD1-AAX3 8NVMe is a purpose-built 8U GPU platform for organizations that need eight front NVMe positions, six installed enterprise NVMe SSDs with 17.28TB raw capacity, 1,128GB (8 x 141GB) of installed GPU memory and enterprise-class compute and management in one deployable system.
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