NVIDIA and Quantum Machines have introduced the DGX Quantum, the first GPU-accelerated quantum computing system. It combines NVIDIA's Grace Hopper Superchip, CUDA Quantum programming, and Quantum Machines' OPX platform to enable high-performance quantum-classical computing. The system offers low-latency connections and 10x faster performance for AI and HPC tasks, with open-source CUDA Quantum software for integrating QPUs, GPUs, and CPUs.

CPU 2x Intel Xeon Gold 6444Y (16 Cores, 3,6 GHz) MEM 512GB DDR5-4800 (16x 32GB) SSD 2x 3.84TB NVMe SSD GPU 4x NVIDIA RTX 6000 Ada, 48 GB DDDR6 ECC NET 2x 10GbE + IPMI Management

CPU 2x Intel Xeon Scalable (112 Cores total) MEM 2TB SSD OS: 2x 1.9TB NVMe M.2 Storage: 8x 3.84TB NVMe U.2 GPU 8x NVIDIA H100, 80GB Tensor Core GPUs NET 4x OSFP (8x single-port 400Gb/s InfiniBand/Ethernet) 2x dual-port NVIDIA BlueField-3 DPUs VPI 1x 400Gb/s InfiniBand/Ethernet 1x 200Gb/s InfiniBand/Ethernet

The NVIDIA Spectrum™-X networking platform, featuring NVIDIA Spectrum-4 switches and BlueField®-3 SuperNICs, is the world’s first Ethernet fabric built for AI, accelerating generative AI network performance by 1.6X over traditional Ethernet fabrics. With Spectrum-X, cloud service providers can accelerate the development, deployment, and time to market of AI solutions, while improving return on investment.