Introducing the Cirrascale Inference Platform: Smarter Inferencing Starts Here
Many businesses begin their AI journey by leveraging hyperscaler services to evaluate models, test specific use cases or initiate pilot deployments. But as they move toward full-scale deployments, enterprises need more predictable costs, greater resource control, and expert AI services tailored to their unique needs.
Enter the Cirrascale Inference Platform, an inference-as-a-service platform which empowers enterprises to scale beyond hyperscaler limitations with advanced features designed for superior performance, efficiency, and cost optimization.
Power Through Your Workloads, Not Your Budget
The Cirrascale Inference Platform simplifies deploying, scaling, and managing GenAI models including large language models (LLMs), image, audio, and video models. It seamlessly integrates AI model pipelines with existing enterprise, SaaS, or proprietary workflows, whether deployed on-premises or within a hyperscaler environment.
The platform’s intelligent workload balancing dynamically manages and distributes inference workloads across regions, optimizing efficiency by mitigating peak demand bottlenecks and reducing operational costs. This intelligent workload balancing also provides business continuity and recovery in the event to disruptions within a region.
The result? Teams can build and deploy powerful products that improve efficiency, reduce costs, improve customer or user experiences, and gain a competitive edge.
Performance That’s Both Agile and Scalable
A defining advantage of the Cirrascale Inference Platform is its ability to deploy custom-tuned AI models optimized for token throughput and specific application demands. Leveraging intelligent selection of optimal AI accelerators, the platform dynamically balances cost and performance, ensuring both real-time, low-latency responsiveness and efficient batch processing.
The Cirrascale Inference Platform is premiering with NVIDIA Blackwell B200, RTX PRO 6000 Blackwell Server Edition, Hopper H200 and L40S GPUs, and plans are in place to ensure additional accelerators are available by general availability.
Key features of the platform include:
● Dynamic Workload Balancing: Manage and optimize workloads across regions for seamless operations.
● Serverless Deployments: Create instant scalability with serverless AI model pipeline deployments.
● Fine-Tuned, Distilled, and RAG integrated Model Support: Utilize fine-tuned or distilled models and integrate RAG as needed to make models context-aware.
● Pre-compiled Foundational Models: Giving you access to the latest models for your workflow needs such as Llama 3.3 Instruct and Deepseek R1, optimized for top-tier accelerators.
● Web Console-Based Deployment: No SSH required, with integrated monitoring for throughput and performance analysis.
● Token-Based Pricing: Succinctly manage budgets with cost efficiency and predictability.
Users can also seamlessly integrate AI model pipelines into existing on-premises or hyperscaler infrastructures. Cirrascale also supports proprietary model deployments tailored for enterprise-specific needs and offers reserved capacity for critical, high-demand scenarios.
The Future of AI Inferencing is Here
We designed the Cirrascale Inference Platform specifically to help enterprise customers efficiently deploy at scale their AI models without the complexity and cost uncertainties of traditional hyperscalers. Whether your goal is optimizing existing workflows, ensuring real-time responsiveness, or expanding AI capabilities at scale, Cirrascale delivers the performance, flexibility, and cost control your enterprises demands.
Ready to transform your AI inferencing strategy? Contact us today.
