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Liquid Web Announces Hosting Solution To Power AI

Liquid Web Announces Hosting Solution To Power AI

Sarah Hardacre Written by:
Alexandros Melidoniotis Reviewed by: Alexandros Melidoniotis
01 November 2024
Liquid Web, a leading provider of hosting and cloud solutions for small and medium-sized businesses (SMBs), has announced a new hosting solution that boasts 15% better GPU performance at similar or lower costs.

The new hosting solution will provide businesses access to affordable AI, machine learning, and compute-intensive capabilities. It leverages powerful Nvidia Graphic Processing Units (GPUs) to accelerate computing speed and allow businesses to manage data-heavy applications.

In particular, the new hosting solution will power AI, machine learning, large-scale rendering and video editing, and big data processing. With these capabilities, Liquid Web will allow businesses to perform numerous activities such as real-time data analytics, accelerated game development, medical imaging analysis, scientific research, and modeling.

Sachin Puri, Chief Growth Officer of Liquid Web, said, “AI has infinite untapped potential, and we want to empower developers and AI innovators to harness the full power of NVIDIA GPUs. With performance benchmarks that speak for themselves, this solution is the clear choice for accelerating AI workloads and maximizing value.”

This new hosting solution offers accelerated performance and optimization for data-intensive workloads to reduce latency and improve throughput. It also provides on-demand access to GPUs via its management portal and APIs and flexible pricing packages suited to startups and enterprise customers.

Ryan MacDonald, Chief Technology Officer of Liquid Web, said, “Our on-demand VIDIA-powered servers with pre-configured GPU stack let customers quickly deploy AI/ML and deep learning workloads – maximizing performance and value while focusing on results rather than setup.”

Liquid Web says that market research projects that the global AI market will grow from $196.63 billion in 2023 to $1.81 trillion in 2030. Therefore, it is essential to be ready to meet the growing demand for high-performance computing (HPC) tasks.

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