Cirrascale Cloud Services announced it is broadening its collaboration with Google Cloud to deliver Google's Gemini models on-premises via Google Distributed Cloud, now available as part of the Cirrascale Inference Platform. Public sector organizations and enterprises can run Gemini models directly within their own infrastructure in Cirrascale data centers, keeping sensitive data behind their firewall while accessing the full power of Google's most advanced AI models.
Gemini models available on-premises via Google Distributed Cloud on Cirrascale Inference Platform.
Supports connected and fully air-gapped environments for regulated industries.
Targets public sector, defense, financial services, healthcare, and higher education.
Includes native multimodal understanding across text, images, audio, and video.
Extensive context windows for large document sets and complex workflows.
Customers keep sensitive data behind their firewall while running frontier AI models.
Through Google Distributed Cloud, Gemini is deployable in both connected and fully air-gapped environments. Customers with strict data residency mandates, low-latency requirements, or regulatory compliance obligations can run Gemini wherever their data lives, keeping the compute and data together. The ability to run advanced AI models on-premises marks a significant milestone for both public sector and enterprise AI adoption. Historically, organizations in regulated industries, higher education, defense, financial services, and healthcare have faced a difficult choice: sacrifice data sovereignty to access frontier AI or settle for less capable models they could control. That tradeoff is over with Gemini on Google Distributed Cloud.
Gemini's capabilities translate directly to on-premises deployments through Google Distributed Cloud, enabling extensive context windows for processing large document sets and complex workflows; native multimodal understanding across text, images, audio, and video; and multilingual support for global enterprise operations.
Cirrascale layers its advanced Inference Platform in combination with a Google Distributed Cloud deployment, delivering the operational infrastructure needed to serve any customer at scale. This includes optimized hardware configurations purpose-built for Gemini inference, performance tuning and scalability management, and dedicated support. Customers gain access to a production-ready environment without re-architecting their existing infrastructure.
Conclusion
As Dave Driggers, CEO of Cirrascale Cloud Services, stated: "Our collaboration with Google Cloud brings together the most advanced Gemini models with Cirrascale's well-established product platform. This provides our public sector and enterprise clients a direct path to deploy multimodal, multilingual AI at scale, on-premises with Cirrascale while integrating the performance, security and operational support they demand."
Muninder Sambi, VP, Product Management & Supply Chain, Google Distributed Cloud, Google Cloud, added: "Through our collaboration with Cirrascale, we're helping public sector and enterprise customers unlock the power of Gemini wherever their data resides. By combining Google Distributed Cloud's secure, flexible deployment options with Cirrascale's enterprise-grade infrastructure, customers can accelerate innovation while securely maintaining full control over their data."
Cirrascale Cloud Services
Cirrascale Cloud Services is the expert neocloud delivering cloud and managed services dedicated to providing tailored, state-of-the-art compute resources and high-speed storage solutions at scale. Our AI Innovation Cloud and Inference Platform services are purpose-built to enable clients to scale their training, fine-tuning, and inferencing workloads for Private AI, generative AI, large language models, and high-performance computing.
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