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Volumez Data Infrastructure-as-a-Service Platform Empowering Organizations to Optimize Cloud Data Performance and Cost

Dynamically builds optimized, balanced systems in any cloud by intelligently orchestrating compute, network, and storage resources from cloud provider’s inventory.

Volumez Technologies Ltd. launched its Data Infrastructure as-a-Service (DIaaS) platform.

Volumz Diaas Intro

In a bold step forward, the company is redefining how organizations manage, store, and leverage data in the cloud era, offering performance, scalability, and cost-efficiency.

As cloud environments evolve, the gap between what organizations need and what cloud providers offer has become increasingly evident. Enterprises demand superior price/performance compared to traditional on-premises systems, yet shared storage architectures in the cloud often undermine these objectives. The rise of AI/ML pipelines has only further highlighted the limitations of current cloud storage models, with overprovisioning and unpredictable performance resulting in skyrocketing costs.

Volumez Diaas Scheme

The DIaaS platform is engineered to address these challenges, offering tailor-made data infrastructures that adapt to a variety of workloads while optimizing cost and performance. It dynamically builds optimized, balanced systems in any cloud by intelligently orchestrating compute, network, and storage resources from the cloud provider’s inventory. The result is a data infrastructure tailored to a workloads’ specific requirements. It delivers a next-gen data infrastructure solution that scales with business needs while controlling costs for high-performance, data-intensive workloads in any cloud.

At Volumez, we recognize that modern workloads require a fundamentally new approach to data infrastructure,” said John Blumenthal, chief product and business officer. “Volumez’ DIaaS platform reframes ‘storage’ away from a discrete cloud resource with pre-defined performance characteristics, to being a dynamic, balanced, and optimized data infrastructure purpose-built for each workload. This allows organizations to achieve exceptional performance and cost efficiency, ultimately enabling them to increase margins and unlock new revenue streams.” 

Key benefits of DIaaS platform:

  • Cloud-awareness: Advanced profiling and optimization of cloud resources for maximum efficiency and cost-effectiveness.
  • Intelligent system balancing: Orchestration of compute, network, and storage resources to ensure full utilization, predictable performance, and no overprovisioning.
  • Composable infrastructure: Unique combinations of cloud resources that deliver maximum performance, resiliency, and availability at minimal cost.
  • Data mobility: Adjustment of service levels, enabling organizations to scale up or down based on evolving needs, ensuring future-proof investments.

Unlike traditional solutions, the company achieves these capabilities without introducing additional components to the data path or relying on a conventional controller. Its groundbreaking, controller-less architecture uses proprietary technology to build deep awareness of the underlying cloud infrastructure. The platform’s declarative Data Infrastructure as Code (DIaC) framework allows businesses to simplify deployment, dynamically adjust to changing service levels, and deliver guaranteed high performance for AI/ML, databases, and other data-intensive applications.

WP for a deeper dive into the breakthrough architecture that powers Volumez’ DIaaS. The document delves into the core design principles of the platform, highlighting how its tailored infrastructure is optimized for a broad range of high-performance workloads, from AI/ML processes to mission-critical databases.

Results in AI/ML training benchmarks
The DIaaS platform’s transformative potential is underscored by its performance in the MLCommons MLPerf Storage 1.0 AI/ML Training Benchmark. The company achieved remarkable linear scaling, reaching an average throughput of 1.079TB/s with 92.21% GPU utilization (1) on AWS. This benchmark demonstrates the platform’s ability to support the most demanding AI/ML workflows while optimizing infrastructure costs.

The DIaaS solutions are designed to enable organizations to shift their focus from the complexities of data infrastructure management to what truly matters – driving innovation and delivering value to their customers. 

(1) Results verified by MLCommons Association.

Resources:
Blog:
Introducing Volumez: Bringing the Best Out of the Public Cloud with Data Infrastructure as-a-Service   
Blog: Unleashing the Full Power of AI/ML with Scalable Data Infrastructure as-a-Service by Volumez   
Blog: New Innovative Data Infrastructure Service for PostgreSQL available in Oracle Cloud Infrastructure

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