Description
Cirrascale provides a robust, cloud-based infrastructure specifically designed to accelerate private AI training and inference workloads. The platform is engineered to maximize the speed and efficiency of AI projects by leveraging high-performance cloud infrastructure that supports the latest accelerators. This approach aims to remove bottlenecks in AI workflows, ensuring projects run smoothly and increasing overall productivity.
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By offering tailored multi-GPU server and storage solutions, Cirrascale allows users to test and deploy on a wide range of leading accelerators within a single cloud environment. The service emphasizes seamless, secure, and efficient private AI workflows, helping organizations optimize their AI operations and accelerate time-to-market. This is achieved through a combination of advanced technology and professional, managed services that aim for zero DevOps overhead for clients.
Key benefits include higher throughput, multi-tiered storage capabilities, and a commitment to no egress or ingress data transfer fees, which can significantly reduce operational costs for AI development. The high-bandwidth, low-latency networking further ensures that data-intensive AI tasks are handled with optimal performance. Cirrascale also collaborates with partners like Google to deliver secure, private AI solutions, including running Gemini on Google Distributed Cloud, keeping sensitive data behind firewalls.
This private AI cloud is ideal for research institutions, universities, and enterprises that require secure, high-performance AI infrastructure to accelerate discovery and innovation. The platform's focus on privacy and security, combined with its performance capabilities, makes it a compelling choice for organizations handling sensitive data or requiring dedicated AI computing resources. Cirrascale aims to streamline AI operations, improve efficiency, and accelerate the delivery of AI-powered solutions.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelContact sales
- DeploymentCloud
Cirrascale Private AI Cloud's Core Features
Private AI cloud for training and inference
Supports NVIDIA, AMD, and Qualcomm accelerators
High-bandwidth, low-latency networking
No egress or ingress data transfer fees
Professional and managed services for zero DevOps
Tailored multi-GPU server and storage solutions
Test and deploy on leading accelerators
Secure AI workflows
Accelerates AI training and inference
Optimizes AI operations
Google Cloud and Google Public Sector offerings
Private Gemini endpoint on Google Cloud Marketplace
How to use Cirrascale Private AI Cloud?
Configure: Select tailored multi-GPU server and storage solutions.
Deploy: Test and deploy AI models on leading accelerators.
Train: Accelerate private AI training workloads.
Infer: Optimize inference performance.
Manage: Utilize managed services for zero DevOps.
Secure: Keep data behind your firewall with private endpoints.
Cirrascale Private AI Cloud's Use Cases
- AI Model Training
- AI Inference
- Secure AI Workflows
- Research and Development
- Enterprise AI Deployment
- Multi-Accelerator Testing
