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Solutions for AI
Limitlessly scalable capacity on-prem. Fast, secure, cost-effective, and easy to integrate.
A shared, scalable data lake for all your
AI workflows.
Cloudian’s AI data lake offers limitless scalability, full S3 API compatibility, multi-tenancy and military-grade security, making it ideal for AI workloads that require secure access to vast amounts of data.
Seamless Integration with AI Tools
Cloudian’s AI data lake harnesses the power of hyperscale object storage to simplify management and accelerate AI workflows. With native S3 compatibility, it seamlessly integrates with leading AI frameworks including PyTorch and TensorFlow, data streaming platforms like Kafka, and high-performance analytics tools such as Apache Arrow. Now, with NVIDIA GPUDirect Storage integration, Cloudian delivers unprecedented direct GPU access to object storage at speeds over 200GB/s. With native S3 compatibility for broad ecosystem support and GPUDirect for maximum performance, Cloudian creates a unified platform that eliminates storage complexity while meeting the performance demands of modern AI workloads.
High Performance with GPUDirect
Cloudian HyperStore supports NVIDIA GPUDirect for Object Storage, delivering breakthrough performance of over 200GB/s while reducing CPU utilization by 45%. This empowers faster, more efficient AI and deep learning with direct, high-speed data transfers from storage to GPUs—bypassing CPU bottlenecks. Delivering reduced latency and optimized GPU performance, this advanced technology accelerates AI workflows, enabling quicker insights from massive datasets.
Industry’s Most S3-Compatible Platform
Most AI/ML tools employ the S3 API. To ensure trouble-free execution with those tools and with other S3-compliant software, you’ll want a platform with the highest S3 API compatibility. Cloudian HyperStore is the only enterprise platform that was built from the ground up specifically for the S3 API. The AWS SDK is our SDK. Cloudian is the answer for native S3 API connectivity.
Multi-Tenancy for a Securely Sharable Platform
With Cloudian, multiple machine learning workflows can securely share a storage platform without the risk of compromised data. Multi-tenancy provides fully separate namespaces within a shared data lake to maximize efficiency and reduce storage costs. Access controls ensure full data security.
Exabyte scalability
Manage and leverage massive volumes of unstructured AI training data and models with ease. Cloudian HyperStore excels in handling unstructured data, offering exabyte-scale capacity and high concurrency. Whether you’re building AI pipelines for stream or batch processing, Cloudian HyperStore provides the scalability and performance required to derive valuable insights from your unstructured data.
Military-grade security
Protect your valuable AI data assets with Cloudian’s robust security features. With data encryption, Secure Shell for intrusion protection, Object Lock to defend against ransomware, and the most complete array of security certifications found in object storage, you can trust in Cloudian’s military-grade security knowing that your critical AI data is safe and secure.
Extensive Support for AI/ML and Analytics Tools
Learn more about how the Cloudian AI data lake integrates seamlessly with popular AI/ML and analytics tools to provide you with secure, scalable storage that supports your most data-intensive workflows.
Scaling AI: Leveraging Object Storage to Meet the Modern Demands of AI Workflows
Artificial intelligence (AI) and machine learning (ML) are revolutionizing industries by spearheading the next era of business automation. These technologies depend on extensive amounts of data, which places considerable pressure on IT systems, particularly storage infrastructure. Choosing the right data storage platform is essential for the success of AI initiatives.
This eBook covers:
- Storage requirements for AI at each stage of the AI workflow
- Storage needs of Common AI/ML tools
- Why GPUDirect makes object storage a critical part of an AI infrastructure
- How object storage meets the AI workflow needs for both capacity and performance
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