Data Center, Storage & AI
Empower your enterprise with intelligent, scalable, and secure infrastructure
Cresco International helps organizations modernize data centers, optimize storage systems, and deploy AI-ready platforms to drive innovation and operational excellence.
As data volumes surge and AI adoption accelerates, enterprises need infrastructure that can meet performance demands while maintaining cost-efficiency, scalability, and compliance. Cresco’s Data Center, Storage & AI services deliver modern, high-performance environments that are cloud-agnostic, secure, and AI-optimized. Whether you’re refreshing legacy infrastructure or building an AI-ready data center, our experts guide you through every phase—from planning to implementation.
We align your IT backbone with your strategic goals, enabling you to run data-heavy workloads, accelerate AI initiatives, and improve storage and compute efficiency—both on-prem and in hybrid cloud environments.
Benefits
Enhanced data center performance and scalability
Reduced infrastructure and storage costs
Simplified hybrid cloud integration and workload mobility
Increased uptime, security, and resource utilization
AI-ready platforms optimized for model training and inference
Our Business Partners In Data Governance & Security
Data Center Modernization
Migrate from legacy to hyper-converged, cloud-ready infrastructure
Enterprise Storage Solutions
Design tiered, scalable, and secure storage architectures (NAS, SAN, object storage)
AI Infrastructure Design
Build and scale GPU-accelerated environments for machine learning and deep learning workloads
Hybrid & Edge Computing Architectures
Deploy intelligent workloads closer to the source with edge-optimized infrastructure
Hyperconverged Infrastructure (HCI)
Consolidate compute, storage, and networking into unified, easy-to-manage systems
Workload Placement & Resource Optimization
Analyze and optimize workload distribution across data centers and clouds
Backup, Archival & Disaster Recovery
Ensure data availability and protection with modern backup and DR strategies
Sustainable Data Center Practices
Improve energy efficiency and sustainability of your infrastructure
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Use Cases & Industry
Financial institution deploying GPU clusters for real-time fraud detection
Research lab architecting high-performance storage for genomics and AI modeling
Manufacturing company using edge infrastructure for AI-powered visual inspections
Telecom provider modernizing its data center to support 5G and AI analytics workloads
Resources
Industries We Serve:
Financial Services
Healthcare & Life Science
Energy & Utilities
Government
Telecommunications
Research & Academia
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Featured Blogs
The Uprising of Self-Service Analytics
FAQs
It involves building GPU-accelerated compute, high-throughput storage, and optimized networks tailored for AI model training and inference, providing fast, scalable performance for demanding workloads.
Yes, Cresco designs systems that span on‑prem, cloud, and edge environments, ensuring flexibility and performance across distributed infrastructure.
By using hyper-converged infrastructure (HCI), Cresco consolidates compute, storage, and networking to enhance efficiency, scalability, and manageability.
Cresco crafts tiered architectures with NAS, SAN, and object storage, paired with backup and disaster recovery to ensure resilience and data protection.
SQream is a GPU‑accelerated platform—featuring SQreamDB and SQream Blue—that enables petabyte-scale SQL analytics and data lakehouse processing at exceptional speed and efficiency.
SQream powers every stage of the AI Factory, from massive data prep to in-database model training and ultra-fast inference, while maximizing GPU utilization.
It accelerates queries and BI workloads using GPU parallelism, enabling complex analytics on full datasets faster and with lower compute footprints than CPU-only systems.
Absolutely. SQream operates on-premises and in cloud environments (like AWS, OCI), enabling Cresco to build flexible, high-performance hybrid data architectures.
Pairing SQream with high-speed storage, such as Hitachi’s Content Software for File, removes I/O bottlenecks, keeping GPUs busy for data prep and AI workloads.