Latest news with #VASTDataSpace
Channel Post MEA
02-05-2025
- Business
- Channel Post MEA
VAST Data Expands Collaboration With Google Cloud
VAST Data has announced an expanded collaboration with Google Cloud to help global enterprises and AI pioneers unlock the full potential of the VAST Data Platform. The VAST Data Platform, purpose-built for AI and large-scale data processing, is fully integrated into Google Cloud – offering a unified foundation for training, retrieval-augmented generation (RAG), inference, and analytics pipelines that span across cloud, edge, and on-premises environments. This tight integration enables capabilities and efficiencies not found in conventional architectures. The announcement follows a series of insightful conversations that VAST Data held at Google Cloud Next with enterprises and cloud leaders, focused on the future of intelligent infrastructure and the growing demand for unified, scalable data platforms. As the scale and complexity of AI workloads increase, organizations face mounting challenges around managing and moving data across disparate environments. The VAST Data Platform meets these challenges with a global, AI-native architecture that eliminates silos, simplifies operations, and delivers consistent performance across every stage of the AI lifecycle. VAST is advancing a new blueprint for enterprise AI – one that's open, hybrid, and built to scale. Key innovations now available as part of the VAST Data Platform on Google Cloud include: VAST InsightEngine for Intelligent Data Computation – The groundbreaking VAST InsightEngine brings stateless, high-performance database and compute services directly into the data platform. InsightEngine enables developers and researchers to run data-centric AI pipelines—such as RAG, preprocessing, and indexing—natively at the data layer, dramatically accelerating time-to-insight and reducing infrastructure complexity. The groundbreaking VAST InsightEngine brings stateless, high-performance database and compute services directly into the data platform. InsightEngine enables developers and researchers to run data-centric AI pipelines—such as RAG, preprocessing, and indexing—natively at the data layer, dramatically accelerating time-to-insight and reducing infrastructure complexity. Exabyte-Scale Global Namespace – The VAST DataSpace provides a single, unified global namespace for all applications and services, eliminating data silos typically found in hybrid and multicloud environments by connecting data on-premises, at the edge, and in Google Cloud as well as other hyperscalers for seamless data access and mobility. – The VAST DataSpace provides a single, unified global namespace for all applications and services, eliminating data silos typically found in hybrid and multicloud environments by connecting data on-premises, at the edge, and in Google Cloud as well as other hyperscalers for seamless data access and mobility. Unified File, Object, Block and Database Access – The VAST Data Platform is the only solution that brings file (NFS, SMB), object (S3), block, and DataBase services into one globally coherent system. This architecture provides unprecedented flexibility for data teams to build, analyze, and train AI models—all from a single platform. The VAST Data Platform is the only solution that brings file (NFS, SMB), object (S3), block, and DataBase services into one globally coherent system. This architecture provides unprecedented flexibility for data teams to build, analyze, and train AI models—all from a single platform. Optimized for Mixed I/O and Metadata-Intensive Workloads – The VAST Data Platform is optimized for modern AI workflows, handling random access patterns, small files, and metadata-heavy operations with ease—ideal for neural search, model training, and inferencing at scale. The VAST Data Platform is optimized for modern AI workflows, handling random access patterns, small files, and metadata-heavy operations with ease—ideal for neural search, model training, and inferencing at scale. Cost-Efficient Disaggregated, Shared-Everything Architecture – Ability to independently scale compute from the base storage platform for compute dense and high throughput workloads allows for elastic scalability and cost-efficiency, enabling independent scaling of performance and capacity. Additionally, VAST's unique Similarity Reduction is always-on and drastically cuts physical capacity needs to deliver substantial cost savings. 'This collaboration represents a leap forward for organizations pushing the boundaries of what's possible with AI,' said Renen Hallak, Founder & CEO of VAST Data. 'By combining the elasticity and reach of Google Cloud with the intelligence and simplicity of the VAST Data Platform, we're giving developers and researchers the tools they need to move faster, build smarter, and scale without limits.' The integration is available through Google Cloud enabling organizations to quickly deploy VAST's enterprise-grade platform to accelerate AI, ML, and analytics initiatives without operational overhead. Customers can now unify their AI training, RAG pipelines, high-throughput data processing, and unstructured data lakes on a single, high-performance platform – reducing complexity and unlocking new possibilities in data-driven innovation. 'Our collaboration with VAST Data brings together Google Cloud's powerful, flexible infrastructure with a unified data platform purpose-built for AI,' said Sameet Agarwal, VP/GM Storage, Google Cloud. 'VAST is enabling customers to simplify data operations and accelerate performance across their demanding, data-intensive AI workloads.' 0 0
TECHx
01-05-2025
- Business
- TECHx
VAST, Google Cloud Expand AI Data Platform Power.
Home » Emerging technologies » Artificial Intelligence » VAST, Google Cloud Expand AI Data Platform Power VAST Data, the AI data platform company, has announced an expanded collaboration with Google Cloud. The integration is designed to help global enterprises and AI pioneers fully harness the power of the VAST Data Platform. Purpose-built for AI and large-scale data processing, the VAST Data Platform is now tightly integrated into Google Cloud infrastructure. This enhanced integration provides a unified foundation for AI workloads. It supports training, retrieval-augmented generation (RAG), inference, and analytics. These capabilities span cloud, edge, and on-premises environments. The platform's architecture introduces efficiencies that conventional systems lack. The announcement follows VAST's presence at Google Cloud Next. During the event, the company engaged in discussions with enterprises and cloud leaders. The focus was on the future of intelligent infrastructure and the need for scalable, unified data platforms. As AI workloads grow in size and complexity, many organizations face difficulties managing data across various environments. The VAST Data Platform solves this with an AI-native architecture. It eliminates data silos, simplifies operations, and ensures consistent performance across all stages of the AI lifecycle. Key innovations now available as part of the VAST Data Platform on Google Cloud include: VAST InsightEngine : A stateless, high-performance compute and database layer built into the platform. It enables native execution of AI pipelines such as RAG, preprocessing, and indexing. This reduces infrastructure complexity and improves time-to-insight. : A stateless, high-performance compute and database layer built into the platform. It enables native execution of AI pipelines such as RAG, preprocessing, and indexing. This reduces infrastructure complexity and improves time-to-insight. Exabyte-Scale Global Namespace : The VAST DataSpace provides a unified global namespace. It connects data across on-premises, edge, and Google Cloud environments. This removes silos commonly found in hybrid and multicloud setups. : The VAST DataSpace provides a unified global namespace. It connects data across on-premises, edge, and Google Cloud environments. This removes silos commonly found in hybrid and multicloud setups. Unified Data Access : The platform supports file (NFS, SMB), object (S3), block, and database services. All operate within one globally coherent system. This allows flexibility for building, training, and analyzing AI models. : The platform supports file (NFS, SMB), object (S3), block, and database services. All operate within one globally coherent system. This allows flexibility for building, training, and analyzing AI models. AI-Optimized Performance : It is tuned for workloads with random access patterns, small files, and metadata-intensive operations. This suits neural search, model training, and large-scale inferencing. : It is tuned for workloads with random access patterns, small files, and metadata-intensive operations. This suits neural search, model training, and large-scale inferencing. Disaggregated, Cost-Efficient Architecture: Compute and storage scale independently. This supports compute-dense, high-throughput workloads while maintaining cost efficiency. VAST's always-on Similarity Reduction further lowers physical storage needs. Renen Hallak, Founder and CEO of VAST Data, said the collaboration marks a major step forward. 'By combining the elasticity and reach of Google Cloud with the simplicity of the VAST Data Platform, we're giving developers and researchers the ability to scale, build smarter, and innovate faster,' he said. The integrated solution is available through Google Cloud. It enables fast deployment of VAST's enterprise-grade platform. Organizations can now streamline AI training, RAG workflows, analytics, and unstructured data processing. All workloads can run on one high-performance platform, reducing complexity and driving innovation. Sameet Agarwal, VP/GM of Storage at Google Cloud, said, 'Our collaboration with VAST Data brings together flexible infrastructure with a unified AI data platform. Customers can now accelerate performance across demanding, data-intensive AI workloads.'
