GIGABYTE W775-V10-L01 GB300
- Part Number
- 6NW775V10MR000L01
- Condition
- New
- Manufacturer
- GIGABYTE
- CPU
- 1 x NVIDIA Grace-72 Core Neoverse V2 CPU
- RAM
- 496 GB LPDDR5X ECC
- Power supply unit
- 1x 1600 W 80 PLUS Platinum
- HDD Type
- NVMe
- Network Card
- 2× 400 Gb/s QSFP (NVIDIA ConnectX-8 SuperNIC), 1× 10 GbE LAN (Marvell AQC113), 1× 1 GbE Management LAN
- GPU
- 1× NVIDIA Blackwell Ultra GPU (GB300 Grace Blackwell Ultra Desktop Superchip)
- Accelerator manufacturer
- NVIDIA
- Accelerator model
- NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
- Installed GPU/APU count
- 1
- Maximum GPU/APU count
- 1 integrated Blackwell Ultra GPU plus 1 optional discrete PCIe GPU
- Memory per accelerator
- 252GB
- Total accelerator memory
- 252GB
- GPU memory type
- HBM3E
- Accelerator memory bandwidth
- 7.1 TB/s
- Accelerator form factor
- Integrated NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
- Accelerator interconnect
- Single integrated GPU; NVIDIA NVLink-C2C connects the Blackwell Ultra GPU and Grace CPU
- Accelerator-to-CPU interface
- NVIDIA NVLink-C2C coherent interface
- Supported compute data types
- FP64, FP32, TF32, BF16, FP16, FP8, FP6, FP4 and INT8
- Accelerator virtualization
- GPU passthrough and containerized CUDA workloads; NVIDIA vGPU availability depends on the deployed software stack
- MIG support
- Up to 7 isolated GPU instances
- Software ecosystem
- NVIDIA CUDA and the NVIDIA AI software ecosystem
- Maximum system power
- 1.6kW
- Cooling
- Closed-loop liquid cooling for the GB300 Superchip with three 120 mm system fans
- Recommended workloads
- Local large-model development, AI training, fine-tuning and inference, data science, HPC and engineering workflows
- Dimensions
- 500.4 x 245 x 531 mm (H x W x D)
- Weight
- 29.2 kg
Need a technical consultation on choosing a server?
Submit a requestGIGABYTE W775-V10-L01 GB300 is a pedestal enterprise GPU system storage configuration with an internal all-NVMe M.2 storage layout. It is designed for AI research teams, engineering groups and enterprise developers that need datacenter-class accelerated computing beside the desk.
Key features:
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Storage basket and service access: The system provides two M.2 PCIe Gen6 x4 positions and two M.2 PCIe Gen5 x4 positions; the CPU-connected Gen5 pair supports software RAID 1. The internal layout separates high-speed local storage from the optional PCIe expansion GPU.
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Accelerator subsystem: The installed accelerator subsystem contains 1 x NVIDIA Blackwell Ultra GPU in the GB300 Grace Blackwell Ultra Desktop Superchip, providing 252GB HBM3E on the integrated GPU of aggregate GPU memory. Single integrated GPU; NVIDIA NVLink-C2C connects the GPU and Grace CPU.
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Storage topology and data path: All four storage positions use NVMe over PCIe. 2 x M.2 PCIe Gen6 x4 plus 2 x M.2 PCIe Gen5 x4; software RAID 1 on the CPU-connected Gen5 pair. 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 1 x NVIDIA Grace 72-core Neoverse V2 CPU and 496GB LPDDR5X ECC CPU memory. It supplies CPU, memory and PCIe resources for the accelerator complex and production services.
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Management and availability: Dedicated management LAN and onboard management controller; 1 x 1600W 80 PLUS Platinum power supply. These facilities support remote administration, health monitoring and resilient operation.
Use cases:
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AI model development: Uses the installed NVIDIA Blackwell Ultra GPU in the GB300 Grace Blackwell Ultra Desktop Superchip 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 Blackwell Ultra GPU in the GB300 Grace Blackwell Ultra Desktop Superchip.
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Data-intensive pipelines: Combines four internal M.2 NVMe positions with high-bandwidth CPU-GPU and network paths for datasets, checkpoints, staging and local scratch space.
GIGABYTE W775-V10-L01 GB300 is a purpose-built pedestal platform for organizations that need four internal M.2 NVMe positions, 252GB HBM3E on the integrated GPU of installed GPU memory and enterprise-class compute and management in one deployable system.
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