Storage Solution for
AI & HPC
AI and HPC require fast, scalable, and secure storage. Traditional storage creates performance bottlenecks, slowing down model training and large-scale simulations.
This next-generation storage solution is designed to overcome these challenges
Accelerating AI with Next-Gen Storage
By leveraging high-speed, parallel data access, organizations can significantly accelerate data processing, optimize AI workflows, and reduce costs while ensuring data integrity and security.
Key Benefits of the Solution
1
Seamless scalability
accommodate growing AI and HPC demands
2
Ultra-fast data transfers
direct GPU access, reducing CPU overhead
3
Secure, multi-tenant storage
policy-based access controls
4
S3-compatible integration
enabling interoperability with AI frameworks and cloud environments
Targeted Customers
1
AI R&D – Fast model training, deep learning
2
Autonomous Vehicles – LIDAR data storage, analysis
3
Genomics – Handle petabyte-scale sequencing data
4
Media & Entertainment – AI content creation, video analytics
5
Finance – Fraud detection, fast trading
6
Cloud Providers – AI-ready storage for clients
The Ultimate Flexibility
Architecture Diagram
The image shows a data processing solution with NVIDIA GPUs, CPUs, switching, and Cloudian storage
Here's the mechanism
1
S3 API Control
The CPU sends control commands to Cloudian storage via the S3 API to initiate data access
2
Direct Data Transfer to GPU
Data from Cloudian storage bypasses the CPU and is transferred directly to the NVIDIA GPU through the switching layer
3
Switching with RDMA Parallel Transfer
The data moves using RDMA (Remote Direct Memory Access) for high-speed, low-latency parallel transfer.
4
GPU Processing
The NVIDIA GPU processes the data, leveraging its parallel computing power for tasks like AI training or simulations
5
Data Return
Processed data is sent back to Cloudian storage via the switching layer, with the CPU coordinating via S3 API commands
This architecture combines Cloudian HyperStore with NVIDIA GPUDirect for seamless AI and HPC workflows.
Key Components
Cloudian HyperStore (Scalable S3-Compatible Object Storage)
- Distributed, scalable architecture from terabytes to exabytes.
- Multi-tenant, policy-based access control for secure AI data management.
- API integration with AI frameworks, ML pipelines, and analytics tools.
NVIDIA GPUDirect for High-Speed Data Transfer
- Direct storage-to-GPU communication, bypassing CPU bottlenecks.
- Achieves over 200 GB/s throughput, optimizing AI model training and real-time inference.
- Parallel data access, reducing AI training time and improving efficiency.
- Compatible with TensorFlow, PyTorch, RAPIDS, Dask, and Spark.
- Optimized for multi-node distributed training in AI and scientific computing.
- Hybrid cloud support for on-premises and multi-cloud AI workloads.
Key Features & Capabilities
High-Speed GPU Data Access with NVIDIA GPUDirect
✔ 200 GB/s+ throughput with GPU-accelerated direct storage access.
✔ Eliminates CPU bottlenecks, improving AI training efficiency.
Limitless Scalability with Cloudian HyperStore
✔ Scale from TBs to exabytes with a fully distributed object storage system.
✔ Handles massive AI datasets for training, inference, and simulations.
Secure, Multi-Tenant AI Data Management
✔ Access control, encryption, and compliance-ready policies to protect sensitive AI datasets.
✔ Prevents unauthorized access and ensures regulatory compliance.
S3-Compatible for AI/HPC Pipelines
✔ Native support for TensorFlow, PyTorch, RAPIDS, Spark, and Dask.
✔ Compatible with Kubernetes & hybrid cloud environments for scalable AI workflows.
Optimized for Distributed AI/HPC Workflows
✔ Supports large-scale AI model training across multiple nodes.
✔ Parallel processing for real-time analytics and data streaming.
Testimonials & Case Studies
1
Life Sciences & Genomics Research
Challenge: A genomics research lab needed high-speed storage for petabytes of sequencing data.
Solution: Integrated Cloudian HyperStore with NVIDIA GPUDirect for AI-optimized data pipelines.
Results: 50% faster AI processing and 40% lower storage costs.
Life Sciences & Genomics Research
Challenge: A genomics research lab needed high-speed storage for petabytes of sequencing data.
Solution: Integrated Cloudian HyperStore with NVIDIA GPUDirect for AI-optimized data pipelines.
Results: 50% faster AI processing and 40% lower storage costs.
2
Autonomous Vehicle Development
Challenge: A self-driving car company needed fast, scalable storage to handle large LIDAR and video datasets.
Solution: Used Cloudian HyperStore with GPUDirect for low-latency, parallel data access across AI nodes.
Results: AI training speed increased by 60%, reducing time to deployment.
Autonomous Vehicle Development
Challenge: A self-driving car company needed fast, scalable storage to handle large LIDAR and video datasets.
Solution: Used Cloudian HyperStore with GPUDirect for low-latency, parallel data access across AI nodes.
Results: AI training speed increased by 60%, reducing time to deployment.
Value-Added-Distributor