According to Richard Seroter, Google Cloud Run now supports NVIDIA RTX 6000 PRO Blackwell GPUs for AI workloads, enabling teams to serve 70B-plus parameter models without managing underlying infrastructure (source: Richard Seroter on X and Google Cloud blog). He highlights that drivers are pre-installed, no capacity reservations are required, and serverless instances offer 20 to 44 vCPUs with 80 to 176 GiB memory to streamline large language model inference and other high‑throughput tasks (source: Richard Seroter on X and Google Cloud Run documentation). This update allows on-demand scaling of LLM inference on Cloud Run while removing GPU infrastructure administration overhead for developers (source: Richard Seroter on X and Google Cloud blog).

According to @rseroter, Google Cloud Run services and functions now support .NET 10; source: @rseroter; Google Cloud blog. According to @rseroter, Google Cloud also released a new .NET library that uses the Microsoft Extensions AI abstraction to integrate Gemini (Vertex AI) into .NET applications; source: @rseroter; Google Cloud blog. According to @rseroter, the update enables standardized Gemini integration within the Microsoft Extensions AI ecosystem for multi-model .NET development; source: @rseroter; Google Cloud blog.