According to soumithchintala on X, Thinking Machines has partnered with NVIDIA to bring up 1GW or more of compute starting with the Vera Rubin cluster, co-design systems and architectures for frontier model training, and deliver customizable AI platforms; NVIDIA has also made a significant investment in Thinking Machines (as reported by the official Thinking Machines announcement at thinkingmachines.ai/news/nvidia-partnership/). According to Thinking Machines, the collaboration targets large-scale training efficiency and verticalized AI deployment, indicating near-term opportunities in AI infrastructure provisioning, GPU-accelerated training services, and enterprise model customization.

According to Ethan Mollick, many government systems lack the right compute for AI inference and must rely on AWS or similar cloud providers; as reported by About Amazon, AWS is expanding AI services for U.S. federal agencies, highlighting a shift toward managed GPU fleets, model hosting, and secure data pipelines for inference workloads (according to About Amazon, see Amazon AI investment in U.S. federal agencies). According to About Amazon, agencies can leverage services like Amazon Bedrock and SageMaker to operationalize foundation model inference with FedRAMP-authorized environments, enabling faster deployment and cost controls for mission use cases. As reported by About Amazon, the business impact includes on-demand access to specialized accelerators, centralized governance, and procurement pathways that speed pilot-to-production cycles for AI applications such as document processing, threat analysis, and citizen services.

According to Sawyer Merritt on Twitter, Tesla plans to add $4 billion to $5 billion in AI training capacity in Q2 2026, utilizing approximately 155,000 Nvidia H100 GPUs. This move highlights Tesla's continued investment in large-scale AI infrastructure to advance its autonomous driving and robotics initiatives. As reported by Sawyer Merritt, this scale of GPU deployment positions Tesla among the top global buyers of advanced AI hardware, offering significant business opportunities for Nvidia and reinforcing the growing arms race for AI compute power within the automotive sector.