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NVIDIA and Amazon Web Services (AWS) have announced a significant expansion of their collaboration at AWS re:Invent. The partnership focuses on accelerating AI and robotics development in the cloud, with key highlights including the launch of NVIDIA DGX Cloud on AWS Marketplace, offering a fully managed, high-performance AI computing platform for training and customizing AI models. This platform is already being used by Leonardo.ai for advanced design tool development and offers flexible terms and access to NVIDIA experts for scaling AI capabilities. Further advancements include NVIDIA Omniverse on AWS, enabling developers to simulate and test AI-driven robots using NVIDIA Isaac Sim on Amazon EC2 G6e instances.

The collaboration also extends to quantum computing, integrating NVIDIA's CUDA-Q platform with Amazon Braket. This allows developers to create and test hybrid quantum-classical workflows using GPU-accelerated simulators. A key feature of the integrated CUDA-Q platform is its pulse-level programming interface, allowing for significantly faster simulation runtimes—up to 350 times faster than CPU-based simulations—and seamless deployment on various quantum hardware, including systems from IonQ, Rigetti, and IQM. The combined effort aims to address challenges in hybrid quantum-classical computing, paving the way for quantum-accelerated supercomputing.

References:

• NVIDIA Newsroom - NVIDIA blog post about AI, robotics, and quantum software on AWS. - 13d
• Quantum Computing Report - QuantumComputingReport on AWS and NVIDIA's CUDA-Q integration. - 13d
• SiliconANGLE - SiliconAngle article on NVIDIA and AWS collaboration. - 13d
• NVIDIA Newsroom - Turn Down the Noise: CUDA-Q Enables Industry-First Quantum Computing Demo With Logical Qubits - 10d
• Quantum Computing Report - IonQ announced an industry-first demonstration integrating its quantum computing hardware with NVIDIA’s CUDA-Q platform. - 10d
• Quantum Computing Report - Infleqtion Delivers First Quantum Materials Design Powered by Logical Qubits and NVIDIA CUDA-Q - 9d

Classification:

• HashTags: NVIDIA AWS QuantumComputing
• Company: NVIDIA
• Target: AI and Quantum Computing
• Attacker:
• Product: CUDA-Q
• Feature: CUDA-Q platform
• Type: AI
• Severity: Major