Why did a GPU cloud service specialist choose VAST Data?

Did you know that Sesterce, a France-based GPU cloud specialist, uses VAST Data's data platform to support efficient cluster scaling and large-scale data processing?

Aiming to become Europe's leading GPU cluster operator.

Sesterce's GPU cloud service specializes in supporting high-performance AI/ML and HPC workloads. From the data center to the cloud, its IaaS and PaaS services are designed and optimized for AI/ML and HPC from the very beginning. Sesterce is a company capable of building and operating AI/ML and HPC infrastructure and MLOps platforms at data center scale.

Why did a company specializing in AI/ML, HPC infrastructure, and platforms choose VAST Data? First, you need to understand Sesterce's service differentiation to understand why.

Sesterce offers optimized performance for AI model training and inference at a reasonable price, with a variety of GPU options, including the NVIDIA H100, A100, and A10 Tensor Core GPUs. Users pay only for what they use, with pay-as-you-go pricing starting at $0.30 per hour, and can choose from a variety of commitment terms, including one-, two-, and three-year terms, to receive additional discounts.

The service is also widely available. Sesterce deploys GPU clusters in Equinix data centers across Europe, the US, and Asia, ensuring optimal performance anywhere in the world. Furthermore, beyond providing GPU instances, it also offers user-friendly one-click model development and deployment.

Sesterce's Choice

Sesterce's goal is to become the largest GPU resource provider in Europe. By offering high-performance GPU computing environments at reasonable prices, Sesterce aims to become Europe's leading GPU cloud service. To achieve this goal, there are two key elements as important as GPU resources: the data platform and storage. This is precisely why Sesterce chose VAST Data.

Sesterce cited VAST Data's ease of use and superior performance as reasons for choosing it. Furthermore, it was evaluated as a suitable fit for Sesterce's diverse customer needs in terms of data preparation, global synchronization, and scalability.

VAST Data Exceeds the Demands of Global-Scale GPU Cloud Services

Based on the evaluation results of Sesterce's introduction of a data platform for global-scale GPU cloud services, we will summarize the features of VAST Data.

• Data Preparation : VAST Data's platform integrates storage, database, and containerized compute engine services into a single software platform designed to efficiently run AI and GPU-accelerated tools in modern data centers and cloud environments.

• Global Synchronization : VAST Data provides a global namespace that enables high-performance data storage, retrieval, and processing, while maintaining strict consistency across all access points, regardless of where data originates. This allows you to deploy the VAST Data platform in on-premises data centers and edge environments, and scale to major public cloud platforms like AWS, Microsoft Azure, and Google Cloud.

• Scalability : VAST Data's architecture leverages cutting-edge technologies, including NVMe over Fabric, Storage Class Memory, and QLC flash, enabling exabyte-scale, all-NVMe flash disaggregation and a DASE architecture. This maximizes performance and efficiency for large-scale storage while delivering cost savings.

These features enable VAST Data's solutions to help Sesterce's customers efficiently manage large-scale data processing and AI workloads and scale cost-effectively.

If you need more information about VAST Data's data platform, Daewon CTS is always here to help.

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