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VAST Data Expands Collaboration With Google Cloud
VAST Data Expands Collaboration With Google Cloud

Channel Post MEA

time02-05-2025

  • 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

VAST, Google Cloud Expand AI Data Platform Power.
VAST, Google Cloud Expand AI Data Platform Power.

TECHx

time01-05-2025

  • 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.'

VAST Data and Google Cloud collaborate to accelerate AI breakthroughs
VAST Data and Google Cloud collaborate to accelerate AI breakthroughs

Zawya

time01-05-2025

  • Business
  • Zawya

VAST Data and Google Cloud collaborate to accelerate AI breakthroughs

Organizations building the future of AI can now harness the full power of the VAST Data Platform on Google Cloud to dynamically burst workloads to the cloud Dubai, United Arab Emirates – VAST Data, the AI data platform company, today 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. 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. 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. 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. 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.' About VAST Data VAST Data is the data platform company built for the AI era. As the new standard for enterprise AI infrastructure, organizations trust the VAST Data Platform to serve their most data-intensive computing needs. VAST Data empowers enterprises to unlock the full potential of their data by providing AI infrastructure that is simple, scalable, and architected from the ground up to power deep learning and GPU-accelerated data centers and clouds. Launched in 2019, VAST Data is the fastest growing data infrastructure company in history.

VAST Data Launches InsightEngine with NVIDIA DGX - TECHx Media VAST Data Launches InsightEngine with NVIDIA DGX
VAST Data Launches InsightEngine with NVIDIA DGX - TECHx Media VAST Data Launches InsightEngine with NVIDIA DGX

TECHx

time19-03-2025

  • Business
  • TECHx

VAST Data Launches InsightEngine with NVIDIA DGX - TECHx Media VAST Data Launches InsightEngine with NVIDIA DGX

VAST Data Launches InsightEngine with NVIDIA DGX VAST Data, an AI data platform company, has announced the launch of VAST InsightEngine, starting with NVIDIA DGX systems and expanding to NVIDIA-Certified Systems from top server providers. This innovative platform provides enterprise customers with a turnkey, real-time AI data processing and retrieval solution designed to simplify AI deployments while offering fast, scalable, and secure data services. The integration of VAST InsightEngine with NVIDIA DGX combines automated data ingestion, exabyte-scale vector search, event-driven orchestration, and GPU-optimized inferencing into a single system, offering unified global enterprise-grade security. This powerful combination accelerates AI adoption and improves time-to-value by unlocking actionable AI-driven insights. As organizations continue to integrate AI into their operations, they often face data bottlenecks, latency issues, and deployment challenges. VAST InsightEngine with NVIDIA DGX addresses these obstacles with a pre-configured, fully integrated real-time AI stack, enabling seamless data flow and scalable AI inferencing at exabyte scale. Built with the NVIDIA AI Data Platform reference design, VAST InsightEngine empowers customers to curate real-time insights for AI reasoning workloads, enabling smarter and more efficient AI adoption across industries. 'Enterprises need AI solutions that are not just powerful but also simple to deploy and operate,' said John Mao, Vice President of Strategic Alliances at VAST Data. 'VAST InsightEngine with NVIDIA streamlines AI adoption, offering a real-time, AI-native data platform that scales effortlessly while maintaining enterprise-grade security and cost efficiency.' As AI adoption accelerates, joint partners like Mark III Systems are exploring how VAST InsightEngine with NVIDIA DGX can enhance their AI initiatives. Stan Wysocki, President of Mark III Systems, said, 'Generative AI and Agentic AI are reshaping industries. By leveraging NVIDIA DGX and VAST, we are excited to help our clients lead their AI transformations.' Key Benefits of VAST InsightEngine with NVIDIA DGX: Turnkey AI Infrastructure : VAST InsightEngine with NVIDIA DGX comes pre-integrated and optimized with the NVIDIA AI Enterprise platform, enabling instant AI deployment and scalable performance while reducing infrastructure costs. : VAST InsightEngine with NVIDIA DGX comes pre-integrated and optimized with the NVIDIA AI Enterprise platform, enabling instant AI deployment and scalable performance while reducing infrastructure costs. Real-Time Data Processing : Powered by NVIDIA AI-Q Blueprint, NVIDIA video search and summarization (VSS) blueprint, and NVIDIA Llama Nemotron Reason model NIM microservices, VAST InsightEngine captures the semantic essence of data as it enters the system, ensuring accurate and contextually relevant insights. : Powered by NVIDIA AI-Q Blueprint, NVIDIA video search and summarization (VSS) blueprint, and NVIDIA Llama Nemotron Reason model NIM microservices, VAST InsightEngine captures the semantic essence of data as it enters the system, ensuring accurate and contextually relevant insights. Scalable AI Performance : Built on VAST's Disaggregated Shared-Everything (DASE) architecture, the platform supports exabyte-scale workloads, growing with enterprise data while maintaining seamless performance. : Built on VAST's Disaggregated Shared-Everything (DASE) architecture, the platform supports exabyte-scale workloads, growing with enterprise data while maintaining seamless performance. High-Speed Data Access : With NVIDIA BlueField-3 DPUs and Spectrum-X networking, VAST InsightEngine offers optimized connectivity, ensuring continuous access to data for AI agents. : With NVIDIA BlueField-3 DPUs and Spectrum-X networking, VAST InsightEngine offers optimized connectivity, ensuring continuous access to data for AI agents. Enterprise-Grade Unified Security: VAST InsightEngine incorporates built-in encryption, access controls, and real-time monitoring to safeguard AI pipelines, ensuring trusted, compliant, and resilient operations. 'Running inference for AI reasoning models requires a seamless infrastructure stack that can process massive amounts of data in real time,' said Charlie Boyle, Vice President of DGX platforms at NVIDIA. 'By combining VAST's scalable data platform with NVIDIA's advanced computing and networking, this solution delivers enterprise-grade AI infrastructure, powering AI reasoning workloads without complexity.' With VAST InsightEngine, enterprises can seamlessly integrate AI into their operations, enabling faster, data-driven decisions and unlocking the full potential of their AI strategies.

VAST Data Announces the Availability of VAST InsightEngine with NVIDIA DGX
VAST Data Announces the Availability of VAST InsightEngine with NVIDIA DGX

Channel Post MEA

time19-03-2025

  • Business
  • Channel Post MEA

VAST Data Announces the Availability of VAST InsightEngine with NVIDIA DGX

VAST Data announced the availability of VAST InsightEngine, starting with NVIDIA DGX systems and expanding to NVIDIA-Certified Systems from leading server providers. This powerful combination provides enterprise customers with a first-of-its-kind turnkey, real-time AI data processing and retrieval platform designed to eliminate the complexity of AI deployments while delivering fast, scalable, and secure data services. VAST InsightEngine with NVIDIA DGX converges instant automated data ingestion, exabyte-scale vector search, event-driven orchestration, and GPU-optimized inferencing into a single system with unified global enterprise-grade security – enabling businesses to efficiently accelerate AI adoption and time-to-value by unlocking AI-driven insights. As organizations integrate AI into their operations, they can often encounter data bottlenecks, latency issues, and deployment challenges that hinder the full potential of AI. By combining the industry-leading VAST Data Platform with NVIDIA's powerful AI compute capabilities, VAST InsightEngine with NVIDIA DGX eliminates these barriers with a pre-configured, fully integrated real-time AI stack, ensuring seamless data flow and scalable AI inferencing at exabyte scale. ​​VAST InsightEngine incorporates the NVIDIA AI Data Platform reference design to enable customers to curate real-time insights for AI reasoning workloads. 'Enterprises need AI solutions that are not just powerful but also simple to deploy and operate,' said John Mao, Vice President, Strategic Alliances at VAST Data. 'As part of the VAST Data Platform VAST InsightEngine with NVIDIA streamlines enterprise AI adoption, delivering a real-time, AI-native data platform that scales seamlessly while ensuring enterprise-grade security and cost efficiency.' Joint partners are already looking at how the VAST InsightEngine with NVIDIA DGX can benefit their business and their customers. 'Generative AI and Agentic AI are fundamentally reshaping industries, and enterprises and research institutions that are able to successfully build and drive difference-making experiences and expertise from their AI Centers of Excellence are uniquely positioned to be category leaders over the next few years,' said Stan Wysocki, President at Mark III Systems. 'As an NVIDIA NPN Elite and VAST partner, Mark III and our unique cross-functional team have been at the forefront of partnering with leading organizations everyday at multiple levels to support and accelerate their journey. We're excited to continue to work together closely on this next chapter, anchored by NVIDIA DGX and VAST, and see what's possible.' Key benefits of VAST InsightEngine with NVIDIA DGX include: 'It Just Works' Turnkey AI Infrastructure – VAST InsightEngine with NVIDIA DGX solutions come pre-integrated and optimized with NVIDIA AI Enterprise platform, which includes NVIDIA Inference Microservices (NIMs) for instant AI deployment, while empowering enterprises to scale AI without complexity, reduce infrastructure costs, and quickly uncover real-time AI intelligence from their data. – VAST InsightEngine with NVIDIA DGX solutions come pre-integrated and optimized with NVIDIA AI Enterprise platform, which includes NVIDIA Inference Microservices (NIMs) for instant AI deployment, while empowering enterprises to scale AI without complexity, reduce infrastructure costs, and quickly uncover real-time AI intelligence from their data. Real-Time Data Processing – With AI agents that use NVIDIA AI-Q Blueprint , NVIDIA video search and summarization (VSS) blueprint, and NVIDIA Llama Nemotron Reason model NIM microservices, the VAST DataBase captures the semantic essence of the data as it enters the system and ensures AI-driven models and applications work with fresh, high-quality data, eliminating latency issues and delivering the most accurate and contextually relevant insights. Enterprises can leverage this real-time intelligence to make faster, more informed decisions, enhance user experiences, and improve operational efficiency. – With AI agents that use , NVIDIA video search and summarization (VSS) blueprint, and model NIM microservices, the captures the semantic essence of the data as it enters the system and ensures AI-driven models and applications work with fresh, high-quality data, eliminating latency issues and delivering the most accurate and contextually relevant insights. Enterprises can leverage this real-time intelligence to make faster, more informed decisions, enhance user experiences, and improve operational efficiency. Scalable AI Performance – Leveraging VAST's industry-disrupting Disaggregated Shared-Everything (DASE) architecture and exabyte-scale VAST DataStore , this future-proof system grows with enterprise data, supporting nearly limitless vector workloads while maintaining seamless performance. – Leveraging VAST's industry-disrupting architecture and exabyte-scale , this future-proof system grows with enterprise data, supporting nearly limitless vector workloads while maintaining seamless performance. High-Speed Data Access – Powered by NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking, VAST InsightEngine provides AI agents with continuous, always-on access to data with optimized network connectivity. – Powered by and networking, VAST InsightEngine provides AI agents with continuous, always-on access to data with optimized network connectivity. Enterprise-Grade Unified Security – With built-in encryption, access controls, and real-time monitoring that spans unstructured, structured, vector and stream data, VAST safeguards AI pipelines from threats and compliance risks. VAST InsightEngine is optimized for instant AI deployment and ensures that every stage of the AI data pipeline – from ingestion to inferencing – remains trusted, compliant, and resilient. 'Running inference for AI reasoning models requires a seamless infrastructure stack that can process massive amounts of data in real time,' said Charlie Boyle, Vice President, DGX platforms at NVIDIA. 'Combining VAST's scalable data platform with NVIDIA computing, networking and agents built with NVIDIA AI Enterprise software, delivers enterprise-grade AI infrastructure that puts data to work powering advanced AI reasoning workloads, without complexity in a fully managed, cost-efficient AI stack.' VAST InsightEngine for NVIDIA DGX is available today – visit here, speak to VAST and NVIDIA partners to get started, or meet with VAST at GTC by visiting Booth #733 to learn more. 0 0

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