What is Cirrascale Private AI Cloud?
Cirrascale provides a private AI cloud platform designed for training and inference workloads, supporting a wide range of accelerators including NVIDIA, AMD, Qualcomm, and Google’s TPUs. The platform eliminates data transfer fees with no egress or ingress charges, ensuring cost predictability. High-bandwidth, low-latency networking and multi-tiered storage maximize throughput for demanding AI models. Managed services and professional support reduce DevOps overhead, allowing teams to focus on innovation. Use cases include large-scale model training, real-time inference, and research collaborations. Technical highlights include tailored multi-GPU server and storage configurations, plus integration with Google Cloud and Google Distributed Cloud for private Gemini endpoints. The platform also supports Google Public Sector offerings, meeting security and compliance needs for research institutions and universities. By removing bottlenecks and optimizing workflows, Cirrascale accelerates time-to-market for AI projects. Partners benefit from a unified environment to test and deploy on leading accelerators, all within a secure, private infrastructure.
Use Cases
Key Features
private AI cloud platform no data transfer fees multi accelerator support high bandwidth networking multi tiered storage managed services tailored GPU configurations Google Cloud integration secure private infrastructure optimized AI workflowsWho is it for?
AI researchers, machine learning engineers, data scientists, research institutions, universities, public sector organizations, cloud architects, DevOps teams
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