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FEATURES
GB10 Grace Blackwell Superchip
(1petaFLOP AI performance Blackwell GPU, 20-core Arm CPU)
Accelerates AI, Data Science, compute, rendering, and visualization
Workloads 128GB coherent unified system memory
• Work with large AI models of up to 200 billion parameters, fine-tune models of up to 70 billion parameters
• ~100GB of system memory available for user workloads
ConnectX-7 networking
• Connect two EdgeXpert systems together to work with models of up to 405 billion parameters
• A maximum of 2 DGX Spark systems can be clustered together
DGX OS & NVIDIA AI software stack
• Seamlessly move workloads from EdgeXpert to DGX Cloud or any accelerated data center or cloud infrastructure
Flexible deployment configurations
• Configure as an AI Workstation or network connected personal AIcloud
Compact, power efficient design
• Easily fits on any desk, powered by standard wall outlet
|
Brand |
MSI |
|
Model |
EdgeXpert MS-C931 |
|
Architecture |
NVIDIA® Grace Blackwell |
|
GPU |
NVIDIA® GB10 |
|
CPU |
Arm 20 core, 10 Cortex-X925 + 10 Cortex-A725 |
|
CUDA Cores |
Blackwell Generation |
|
Tensor Cores |
5th Generation |
|
Tensor Core Supported |
TF32, FP16, BF16, INT8, FP8, FP6, FP4 |
|
RT Cores |
4th Generation |
|
Tensor Performance |
1 petaFLOP AI performance (FP4, Sparse) |
|
System Memory |
128 GB LPDDR5x, unified system memory |
|
Memory Interface |
256-bit |
|
Memory Bandwidth |
273 GB/s |
|
Storage |
1 or 4 TB NVME.M2 with self-encryption |
|
USB |
4x USB 3.2 Type C (up to 20Gb/s) |
|
Ethernat |
1x RJ-45 connector 10 GbE |
|
NIC |
ConnectX-7 Smart NIC |
|
Wi-Fi |
WiFi 7* |
|
Blutooth |
BT 5.4 |
|
Audio-output |
HDMI multichannel audio output |
|
System Weight |
1.2 kg |
|
Display Connectors |
1 x HDMI 2.1, 4x DP1.4a via USB-C |
|
NVENC | NVDEC |
1x | 1x |
|
OS |
NVIDIA® DGX™ OS |
|
Dimensions (L*W*H) |
151 L x 151 x 52 mm (1.2L) |
|
Notes |
Features, Price, Specifications are subject to change without notice. |
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