A great evening in San Francisco for AI Infrastructure, After Hours, following @anyscalecompute's Ray Summit. Our VIP happy hour, co-hosted with @parasail_io, brought together founders, engineers, and AI infrastructure leaders for thoughtful conversations on inference, heterogeneous systems, and where the industry is headed next. Thank you to the Parasail team and everyone who joined us. #AIInference# #AIInfrastructure# #HeterogeneousComputing# #dMatrix#

#ModCon2026# highlighted the momentum behind heterogeneous computing and open AI infrastructure. With @Qualcomm, d-Matrix, and others working across the @Modular ecosystem, open standards are enabling more choice across CPUs, GPUs and XPUs. Read more: #Qualcomm# #AWS# #Google# #Modular# #dMatrix# #AIInference# #HeterogeneousComputing#

China launched a “heterogeneous computing ark,” a full-stack platform aiming to solve software ecosystem challenges for domestic #computing# power. Although China has made rapid progress in developing its own high-performance computing hardware, such as domestic #GPUs#, the supporting software ecosystem still lags. The platform addresses key pain points in China’s high-performance computing.

- IonQ $IONQ announced that its Superion 256 will be deployed at the NVIDIA $NVDA Accelerated Quantum Research Center, or NVAQC, becoming the center's first on-premise QPU deployment. - Superion 256 will be directly connected to an NVIDIA ($NVDA) GB200 NVL72 system through NVQLink, while hybrid quantum-GPU workloads will be orchestrated using CUDA-Q. - The joint research program will focus on hybrid quantum-classical software, large-scale system prototyping, and AI-QPU co-design, with plans to generate open research results and guidance for future system architectures. - Target research areas include portfolio optimization and risk modeling in financial services, materials science, and computational chemistry for drug discovery. - $IONQ introduced Superion on September 8, 2026. Superion 256 is currently available to order, with first customer deliveries expected in 2027, and the NVAQC installation is also scheduled for 2027. - $IONQ says its roadmap extends toward 10,000 qubits and full fault tolerance, supported in part by vertical integration involving its SkyWater CMOS foundry capabilities. - The companies had previously conducted CUDA-Q-based research with Oak Ridge National Laboratory and the University of Tennessee combining generative AI with distributed quantum algorithms. > The important point is not simply that NVIDIA will "use an IonQ QPU." The Superion 256 is intended to physically sit alongside GB200 NVL72 and connect through NVQLink and CUDA-Q as part of a heterogeneous computing system. > NVIDIA's quantum architecture direction is becoming clearer. Rather than treating GPUs and QPUs as isolated computers, it is pushing toward tightly coupled accelerated computing similar in principle to CPU-GPU integration, and $IONQ will become the first QPU provider to test that model inside NVAQC. > For $IONQ, placing Superion 256 inside NVIDIA's research infrastructure ahead of expected 2027 customer deliveries is a meaningful reference deployment. However, this remains primarily a research and large-scale prototyping program, so it is better viewed as strategic validation for quantum-GPU integration rather than evidence yet of large commercial revenue or exclusive NVIDIA adoption.