Gigabyte XV23-VC0-AAJ1 2NVMe
- Condition
- New
- Manufacturer
- GIGABYTE
- Form factor
- 2U
- RAM
- 960GB (LPDDR5x)
- GPU
- 4 x NVIDIA H100
- Accelerator manufacturer
- NVIDIA
- Accelerator model
- NVIDIA H100
- Installed GPU/APU count
- 4
- Maximum GPU/APU count
- 4
- Memory per accelerator
- 80GB
- Total accelerator memory
- 320GB
- GPU memory type
- HBM2e
- Accelerator memory bandwidth
- Over 2 TB/s per GPU
- Accelerator form factor
- PCIe FHFL
- Accelerator interconnect
- PCIe peer-to-peer topology; no chassis-level NVLink fabric
- Accelerator-to-CPU interface
- PCIe 5.0 x16 per GPU
- Supported compute data types
- FP64, FP32, TF32, BF16, FP16, FP8 and 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
- 8kW
- Cooling
- Air cooling with four 80 mm system fan modules and passive GPU cards
- Recommended workloads
- AI training, fine-tuning and inference, LLM and NLP workloads, HPC, simulation, analytics and data science
- Dimensions
- 87 x 438 x 900 mm (H x W x D)
- Weight
- 46.6 kg
Need a technical consultation on choosing a server?
Submit a requestGigabyte XV23-VC0-AAJ1 2NVMe is a 2U enterprise GPU system storage configuration with 2 front 2.5-inch PCIe Gen5 NVMe hot-swap positions. 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 2 front-accessible 2.5-inch PCIe Gen5 NVMe hot-swap positions. Supported drives can be serviced without opening the chassis, helping reduce planned maintenance time.
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Accelerator subsystem: The installed accelerator subsystem contains 4 x NVIDIA H100 PCIe 80GB, providing 320GB (4 x 80GB) of aggregate GPU memory. PCIe; no dedicated GPU-to-GPU bridge is specified for this assembly.
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Storage topology and data path: Every front position connects through a PCIe Gen5 x4 NVMe backplane. 2 internal M.2 PCIe Gen5 x4 slots. This layout supports fast dataset staging, checkpoints and local scratch storage without mixing the basket with a different drive protocol.
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Enterprise compute platform: The compute subsystem is configured with NVIDIA Grace CPU Superchip with 2 Grace CPUs connected by 900 GB/s NVLink-C2C and 960GB LPDDR5X ECC CPU memory in the listed assembly. 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 and GIGABYTE Management Console; 2+2 x 2000W 80 PLUS Titanium redundant power supplies. These facilities support remote administration, health monitoring and resilient operation.
Use cases:
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AI model development: Uses the installed NVIDIA H100 PCIe 80GB subsystem for training, fine-tuning and large-model development.
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Inference and production AI: 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 H100 PCIe 80GB.
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Data-intensive pipelines: Combines 2 front 2.5-inch NVMe positions with high-bandwidth GPU and network paths for datasets, checkpoints, staging and local scratch space.
Gigabyte XV23-VC0-AAJ1 2NVMe is a purpose-built 2U platform for organizations that need 2 front 2.5-inch PCIe Gen5 NVMe bays, 320GB (4 x 80GB) of installed GPU memory and enterprise-class compute and management in one deployable system.
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