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200G QSFP56 DAC Passive Copper Cable 0.5m for AI Supercomputer Compatible with ASUS GX10, MSI EdgeXpert, NVIDIA DGX Spark, Gigabyte AI Top ATOMQSFP-200G-CU0.5M-NEWA$286.00 A$260.00In StockNew 0.5m 200GbE QSFP56 to QSFP56 passive Direct Attach Copper (DAC) twinax cable. 4x50G PAM4, <0.1W, ideal for interconnecting two NVIDIA DGX Spark units. Learn More -
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NVIDIA DGX Spark Mini Desktop AI Computer – 128GB/4TB | 940-54242-0002-000940-54242-0002-000-NEWA$10,300.00 A$9,363.64In StockNew NVIDIA DGX Spark mini desktop AI supercomputer built on the NVIDIA GB10 Grace Blackwell Superchip. Up to 1 PFLOP AI performance, 128GB unified LPDDR5x memory and 4TB NVMe. Learn More -
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GIGABYTE AI TOP ATOM NVIDIA Grace Blackwell GB10 Desktop Super Computer – New | ATAGB10-9000ATAGB10-9000-NEWA$10,399.00 A$9,453.64In StockThe GIGABYTE AI TOP ATOM is a desktop AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip, pairing a 20-core Arm CPU with a Blackwell-architecture GPU to deliver up to 1,000 AI TOPS. With 128GB of LPDDR5x coherent unified memory and a 4TB PCIe 5.0 NVMe SSD, it lets developers prototype, fine-tune and run inference on AI models with up to 200 billion parameters right at the desk. Integrated NVIDIA ConnectX-7 networking lets two units be linked to scale to models of up to 405 billion parameters, all in a compact 150mm chassis running NVIDIA DGX OS. Learn More -
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ASUS Ascent GX10 Mini Desktop AI Supercomputer – NVIDIA GB10 Grace Blackwell 128GB/4TB – New | GX10-GG0016BNGX10-GG0016BN-NEWA$10,800.00 A$9,818.18In StockNew ASUS Ascent GX10 mini desktop AI supercomputer built on the NVIDIA GB10 Grace Blackwell Superchip. Up to 1 PFLOP AI performance, 128GB unified LPDDR5x memory and 4TB NVMe. Learn More -
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ASUS Ascent GX10 Mini Desktop AI Supercomputer – NVIDIA GB10 Grace Blackwell 128GB/2TB – New | GX10-GG0020BNGX10-GG0020BN-NEWA$10,500.00 A$9,545.45In StockNew ASUS Ascent GX10 mini desktop AI supercomputer built on the NVIDIA GB10 Grace Blackwell Superchip. Up to 1 PFLOP AI performance, 128GB unified LPDDR5x memory and 2TB NVMe. Learn More -
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MSI EdgeXpert MS-C931 NVIDIA Grace Blackwell GB10 Desktop AI Supercomputer Mini PC – New | EDGEXPERT-34SAUEDGEXPERT-34SAU-NEWA$12,583.00 A$11,439.09Via supplierThe MSI EdgeXpert MS-C931 is a desktop AI supercomputer built on the NVIDIA DGX Spark platform and powered by the GB10 Grace Blackwell Superchip. It pairs a 20-core Arm CPU with a Blackwell-architecture GPU to deliver up to 1,000 AI TOPS (1 petaFLOP FP4). With 128GB of LPDDR5x coherent unified memory and a 4TB PCIe Gen5 NVMe SSD, it lets developers prototype, fine-tune and run inference on AI models with up to 200 billion parameters at the desk. Integrated NVIDIA ConnectX networking lets two units be clustered to reach models of up to 405 billion parameters, all in a compact mini-PC chassis running NVIDIA DGX OS. Learn More -
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ASUS Ascent GX10 Mini Desktop AI Supercomputer – NVIDIA GB10 Grace Blackwell 128GB/1TB – New | GX10-GG0013BNGX10-GG0013BN-NEWA$9,297.00 A$8,451.82In StockNew ASUS Ascent GX10 mini desktop AI supercomputer built on the NVIDIA GB10 Grace Blackwell Superchip. Up to 1 PFLOP AI performance, 128GB unified LPDDR5x memory and 1TB NVMe. Learn More -
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ASUS Ascent GX10 Mini Desktop AI Supercomputer – NVIDIA GB10 Grace Blackwell 128GB/1TB – New | GX10-GG0010BNGX10-GG0010BN-NEWA$9,300.00 A$8,454.55In StockNew ASUS Ascent GX10 mini desktop AI supercomputer built on the NVIDIA GB10 Grace Blackwell Superchip. Up to 1 PFLOP AI performance, 128GB unified LPDDR5x memory and 1TB NVMe. Learn More -
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HP ZGX Nano G1n GB10 AI Station 128GB RAM, 4TB SSD, DGX OS Lead time 3-5 daysD0YU0PT-NEWA$11,599.00 A$10,544.55In StockThe HP ZGX Nano G1n GB10 AI Station is a high-performance workstation designed for artificial intelligence and machine learning workloads. It features a robust configuration with 128GB of RAM and a 4TB SSD for rapid data access and processing. Powered by DGX OS, this system delivers specialized capabilities for developers and data scientists requiring efficient compute resources in a compact form factor. Learn More