VESSL AI

No More Headaches Over GPU Infrastructure!
How VESSL Focused on MLOps and LLMOps Platform Innovation

With the widespread adoption of artificial intelligence and generative AI, the MLOps and LLMOps markets are experiencing rapid growth. Amid this trend, VESSL AI is prioritizing the stable operation of high-performance GPU infrastructure as a key challenge. After adopting GPUaaS from Samsung Cloud Platform (SCP), VESSL AI was able to move beyond infrastructure concerns and focus on innovating its MLOps and LLMOps platform. This shift has led to increased credibility and customer expansion, fueling the company’s rapid growth.

AI Service Innovation Engine, SCP GPUaaS

• Based on the integrated infrastructure of Samsung Cloud Platform (SCP) providing ‘GPUaaS’, ‘high-performance parallel storage’, and ‘enterprise-dedicated network’, it enables stable, failure-free operation of MLOps and LLMOps platforms, allowing the company to focus on innovation in its product functions and services.
• Through the VESSL platform integrated with SCP’s high-performance GPUs offered at reasonable prices, cost efficiency for AI companies’ model training, deployment, and operation is achieved, while also establishing a foundation for expanding a diverse customer base.

The Rollercoaster of GPU Demand: VESSL AI’s Solution

VESSL AI, while operating its MLOps platform, needed a cloud-based GPU service to efficiently respond to customers’ diverse requirements for high-performance GPUs such as the A100 and H100. In this situation, the “competitive pricing,” “reliable service,” and “excellent technical support” offered by SCP GPUaaS made it an especially appealing choice.

Reliable AI infrastructure Comparable to Leading Global Cloud Providers

Samsung Cloud Platform (SCP), which operates a large-scale GPU cluster composed of tens of thousands of H100 and A100 units, provides GPUaaS (GPU as a Service) that delivers AI-dedicated infrastructure on demand-matching the scale and reliability of global major cloud providers like AWS and Google. This ensures customers have secure and reliable AI service infrastructure, available whenever and in whatever quantity they need.

In particular, by providing an optimal infrastructure that integrates high-performance storage (Parallel File Storage) linked with GPUs and a secure, high-speed network for data transfer and communication, we have significantly enhanced customer trust through truly ‘non-disruptive’ service delivery.

Additionally, whereas engineers previously had to spend significant time resolving infrastructure issues, the introduction of the SCP GPU service has enabled them to dedicate more time to developing the core features of the MLOps and LLMOps platforms for customers.

Experts Behind Samsung Cloud Platform Deliver Top-notch Support

VESSL AI was able to quickly resolve various technical issues that arose during the implementation process with the help of SCP experts. They also provided technical recommendations, offering top-notch support that is hard to find with other cloud services.

Samsung Cloud Platform (SCP) possesses direct experience in developing and operating models in-house at Samsung. VESSL AI was able to receive fast, proven, and optimized technical support from domestic SCP experts and NVIDIA engineers.

The Key to AI Success: Expanding the Customer Base Through Customized AI Infrastructure for Each Enterprise

Leveraging Samsung’s extensive large-scale service expertise, Samsung Cloud Platform (SCP)’s GPUaaS provides AI-dedicated cloud infrastructure tailored to enterprise-specific use cases. By integrating GPUs of various specifications, SCP delivers a stable MLOps and LLMOps environment for everything from small to large-scale workloads.

In addition, by combining on-premises infrastructure with SCP GPUaaS, an efficient hybrid environment is provided, enabling GPU cost optimization for data processing, AI model training, and automated deployment.

Looking ahead, VESSL AI..

2024 has been recognized as the inaugural year for the adoption of AI agent technology in enterprise environments. In the future, companies will build workflows composed of hundreds of AI agents specialized in specific domains, enabling automation and greater efficiency in business operations.

VESSL AI plans to go beyond its MLOps and LLMOps platforms and rapidly deliver industry-specific AI solutions by leveraging agent orchestration technology. In addition, starting with entry into the U.S. market, the company is preparing for global business expansion. Throughout this process of innovation, VESSL AI plans to use Samsung Cloud Platform (SCP)’s GPUaaS-which provides stable service at a reasonable price-as our core infrastructure.

The Smart Choice for Future-Leading AI Companies

“As AI transformation (AX) accelerates, demand for GPUs continues to grow, and adopting GPU services in the cloud offers clear advantages. You can respond quickly to changing demand and leave infrastructure issues to the cloud provider, which increases operational efficiency. In particular, SCP GPUaaS is worth considering as it offers stability, cost efficiency, and excellent technical support.”