Nvidia DGX Spark GB10 1NVMe
New
For AI
Specification
Manufacturer
NVIDIA
CPU Preconfigured (new)
1x NVIDIA GB10 Grace CPU (10 cores Cortex-X925, 10 cores Cortex-A725)
RAM Preconfigured (new)
128GB (LPDDR5x)
HDD Preconfigured (new)
4 TB NVME.M2 with self-encryption
GPU
1 x NVIDIA GB10
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Nvidia DGX Spark GB10 1NVMe — Specifications
- Артикул
- 940-54242-0006-000
- Condition
- New
- Manufacturer
- NVIDIA
- CPU Preconfigured (new)
- 1x NVIDIA GB10 Grace CPU (10 cores Cortex-X925, 10 cores Cortex-A725)
- RAM Preconfigured (new)
- 128GB (LPDDR5x)
- Power supply unit
- 1x 240W
- HDD Type
- NVMe
- HDD Preconfigured (new)
- 4 TB NVME.M2 with self-encryption
- NIC card
- 1x RJ-45 connector 10 GbE
- GPU
- 1 x NVIDIA GB10
- OS
- NVIDIA DGX OS
- Accelerator manufacturer
- NVIDIA
- Accelerator model
- NVIDIA GB10 Grace Blackwell Superchip integrated GPU
- Installed GPU/APU count
- 1 integrated GPU
- Maximum GPU/APU count
- 1 integrated GPU
- Memory per accelerator
- 128GB unified system memory shared by the CPU and GPU
- Total accelerator memory
- 128GB
- GPU memory type
- LPDDR5X unified memory
- Accelerator memory bandwidth
- 273GB/s
- Accelerator form factor
- NVIDIA GB10 Grace Blackwell Superchip
- Accelerator interconnect
- Single integrated accelerator; dual-system scaling is provided through NVIDIA ConnectX-7 networking
- Accelerator-to-CPU interface
- On-package coherent interface within the NVIDIA GB10 Grace Blackwell Superchip
- Supported compute data types
- FP32, TF32, BF16, FP16, FP8, FP4 and INT8
- Accelerator virtualization
- Containerized CUDA application isolation through NVIDIA Container Toolkit
- Software ecosystem
- NVIDIA DGX OS, NVIDIA CUDA, CUDA-X, NVIDIA NGC, NVIDIA AI Enterprise, PyTorch and NVIDIA TensorRT-LLM
- Maximum system power
- 0.24kW
- Cooling
- Integrated air-cooled thermal management system
- Recommended workloads
- Local AI development and prototyping, inference with models up to 200 billion parameters, fine-tuning of compatible models up to 70 billion parameters, autonomous agents, data science and accelerated application development
- Dimensions
- 50.5 x 150 x 150 mm (H x W x D)
- Weight
- 1.2 kg
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