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From Data Integration to AI Implementation,
Optimal Solution Portfolio
We provide comprehensive end-to-end solutions
through strong partnerships with global technology leaders.
Hammerspace: Boundaryless Data,
Limitless AI Possibilities
Distributed data silos and inefficient data movement and copying represent one of the biggest technical barriers blocking AI innovation. In particular, managing vast amounts of unstructured data poses a significant burden for many enterprises.
To address these challenges, SAMWOO.ai proposes Hammerspace’s innovative global data platform as the essential first step in our AI+data platform strategy.
Hammerspace integrates geographically distributed and diverse types of storage into a single global namespace, and maximizes AI model training and inference speeds by efficiently delivering data to GPU and computing clusters through intelligent metadata-driven data orchestration.
Key Features of Hammerspace
Single Global Namespace
Provides a global file system spanning sites, clouds, and storage to eliminate data silos and unify all unstructured data.
Standards-Based Parallel File System
Meets the extreme storage performance requirements of AI, HPC, and GPU computing through a standards-based parallel file system architecture that combines HPC performance with the simplicity of enterprise NAS.
Metadata-Driven Data Orchestration
Provides a global file system spanning sites, clouds, and storage to eliminate data silos and unify all unstructured data
Technical Features of Hammerspace
Tier 0
Dramatically improves AI workload speeds and reduces costs by leveraging underutilized NVMe storage embedded in existing on-premises and cloud-based GPU servers.
High-Performance Storage
Provides storage optimized for high-performance computing environments such as AI, HPC, and GPU computing
High-Performance Storage
Provides storage optimized for high-performance computing environments such as AI, HPC, and GPU computing
Advantages of Hammerspace
Cost and Power Savings
Reduces storage costs and power consumption by utilizing idle capacity.
GPU Cycle Optimization
Increases GPU utilization by improving checkpoint speed and frequency.
Shortened Time to Value for AI Infrastructure
Accelerates AI workload processing speeds to shorten the ROI timeline for AI infrastructure investments.
Data Silo Elimination and Integration
Unifies distributed unstructured data through a single global namespace and enhances management efficiency.
AI Field-Proven Hammerspace Use Cases
LLM and Gen AI Training
Provides high-performance storage required for large language model and generative AI model training, reducing training time and enhancing efficiency.
Multi-Site File Sharing and Collaboration
Facilitates file sharing and collaboration among teams distributed across multiple regions, improving productivity
High Performance Computing (HPC)
Provides high-performance storage for large-scale data processing and analysis in high-performance computing environments such as scientific research and engineering simulations.
Dataiku: AI for Everyone, From Ideas to Value Creation
After data is successfully integrated, enterprises need to rapidly develop, deploy, and operate AI models that leverage this data to solve real business problems, while measuring their value. Dataiku is a ‘Universal AI Platform’ that enables users from diverse roles—data scientists, analysts, and business professionals—to collaborate on a single platform and execute the complete AI lifecycle from data preparation to model development, MLOps/LLMOps, and final AI application deployment and management.
This platform encompasses not only code-centric experts but also users who prefer low-code/no-code environments, playing a crucial role in strengthening enterprise-wide AI utilization capabilities and realizing ‘Everyday AI.’
Key Features of Dataiku
Universal AI Platform
Integrates people, data, technology, and governance to provide the control capabilities needed to create an AI future and prevent chaos
GenAI and Agents
Provides development tools, pre-built use cases, and AI-powered assistants to build practical and secure generative AI applications at enterprise scale.
Data Preparation
Provides visual and coding interfaces in a shared workspace for large-scale data connection, cleaning, and preparation.
Technical Features of Dataiku
Machine Learning
Accelerate model building through Dataiku AutoML and guided frameworks, or use custom code.
XOps
Manage all dimensions of AI portfolio operations and unify all project operations through a single integrated platform
AI Governance
Apply AI governance standards from one place across all data work.
Advantages of Dataiku
Collaboration
Drive innovation by unifying everyone from business to technology and integrating all enterprise data work—from analytics to generative AI—on one centralized governance platform.
Enhanced Productivity
Provides an end-to-end platform that amplifies the impact and productivity of data science teams.
Time Reduction
Reduces time spent on data analysis, extraction, and preparation by over 70% and shortens model lifecycle activity time.
Increased ROI
Achieves a 413% return on investment over three years according to Forrester Consulting research.
AI Field-Proven Dataiku Use Cases
Banking
Provides various solutions for customer management, risk management, and operational efficiency, delivering AI-powered advantages to all parts of the business.
Pharmaceuticals
Revolutionizes and enhances existing workflows with the power of AI, from accelerating drug discovery to improving clinical operations and manufacturing.
Manufacturing
Strengthens all aspects of manufacturing processes with AI and Dataiku solutions, from production quality control to power forecasting.
Retail and Consumer Goods
Provides new ways to improve customer experience, optimize operational efficiency, and enhance productivity.
Hitachi Vantara:
Trusted Data Infrastructure for the AI Era
Data-intensive workloads such as large-scale AI model training and inference, and real-time data analytics place significant strain on existing IT infrastructure. To process these workloads reliably and efficiently, data storage infrastructure with high performance, high availability, and scalability that can flexibly respond to unpredictable data growth is essential.
Hitachi Vantara provides enterprise storage technology proven in mission-critical environments for decades, along with cutting-edge data platforms optimized for AI workloads (such as Hitachi iQ and VSP One). Through Hitachi Vantara’s solutions, SAMWOO.ai supports customers in building robust and reliable data infrastructure foundations that enable them to confidently pursue their AI and data analytics initiatives.
Hitachi Vantara Product Information
Hitachi iQ
Hitachi’s flagship AI portfolio, encompassing AI-enabled infrastructure and solutions.
AI-Enabled Infrastructure and Solutions
Hitachi iQ provides infrastructure and solutions optimized for AI workloads.
Data Platform
Unifies all block, file, and object data into a single platform to deliver superior data clarity in hybrid cloud environments.
Storage Platform
Optimizes data value through a flexible and elastic storage portfolio.
Technical Features of Hitachi Vantara
Unified Access
Provides unified access to data from anywhere through Hitachi iQ.
Superior Performance
Delivers high performance optimized for AI workloads
Exceptional Resilience
Provides reliable data availability and protection capabilities.
Hybrid Cloud Support
Seamlessly manages and delivers data services across hybrid cloud environments.
Advantages of Hitachi Vantara
Accelerating AI Innovation
Supports the development and deployment of AI and advanced analytics applications through high-performance infrastructure.
Enhanced Operational Efficiency
Maximizes IT efficiency by accelerating automation, analytics, and security.
Improved Business Performance
Enhances business outcomes by supporting data-driven decision-making and creating new value.
Risk Reduction
Protects businesses from data loss and cyber threats through robust data protection and resilience solutions.
Hitachi Vantara Use Cases
Financial Services
Supports the development of innovative banking and financial apps while ensuring data resilience, regulatory compliance, and AI-driven data utilization.
Healthcare and Life Sciences
mproves patient outcomes and supports advancement in medical research.
Manufacturing
Enhances productivity, optimizes quality control, and implements predictive maintenance.
Public Sector
Improves citizen services, increases efficiency, and supports data-driven policy decisions.