Key Market Drivers and Applications

The GPU data center market is driven by the growing adoption of AI and machine learning, which require immense computational power for processing large datasets and complex algorithms. GPUs, with their parallel processing capabilities, are ideal for these tasks, making them essential in sectors like healthcare, finance, and automotive. High-performance computing (HPC) applications, including scientific simulations and data analytics, also fuel demand for GPUs due to their efficiency over traditional CPUs. Additionally, the expansion of cloud computing has accelerated GPU adoption, as hyperscalers offer scalable, cost-effective access to powerful GPU infrastructure for AI, HPC, and content creation workloads.

360Quadrants Evaluation Framework for Data Center GPU Market

The 360 Startup/SMEs evaluation matrix provides a comprehensive company assessment of major start-ups and SMEs offering green technology and sustainability solutions. It outlines key findings and analyzes how effectively each market vendor performs based on predefined competitive leadership mapping criteria. Vendor evaluations are conducted based on product footprint and market share/rank. Each category includes various criteria upon which the vendors are assessed. The top criteria for product footprint evaluation are done by Application (Generative AI, Rule Based Models, Statistical Models, Deep Learning, Generative Adversarial Networks (GAN), Autoencoders, Convolutional Neural Networks (CNNs), Transformer Models, Machine Learning, Natural language processing (NLP), Computer Vision), Function (Training and Inference), Deployment (Cloud and On-premises), and by End User (Cloud Service Providers (CSPs), Enterprises, Healthcare, BFSI, Automotive, Retail & E-commerce, Media & Entertainment, Others, Government Organizations).

Startups/SME Companies in the Data Center GPU Market Landscape

VULTR

VULTR is a cloud infrastructure provider rapidly expanding its GPU capabilities to support AI workloads. It offers access to both NVIDIA and AMD GPUs, including the MI325X, and is building supercompute clusters in locations like Chicago. VULTR’s platform serves a wide range of businesses and is positioning itself as a major player in AI inference and training by leasing GPU access through its cloud services.

Rackspace Technology

Rackspace offers GPU-as-a-Service (GPUaaS) through its Rackspace Spot platform, enabling customers to access high-performance NVIDIA GPUs on demand. Its latest data center in Silicon Valley features advanced infrastructure optimized for AI, machine learning, and data analytics. Rackspace’s model emphasizes scalability and cost-efficiency for enterprise-grade GPU workloads.

Gcore

Gcore provides AI GPU cloud infrastructure using NVIDIA’s A100 and H100 GPUs, with plans to integrate newer models like the L40S and H200. It focuses on delivering high-performance computing for deep learning, HPC, and data center applications. Gcore’s comparative analysis of GPU models helps clients choose optimal configurations for their workloads.

Snowcell

There is currently limited publicly available information detailing Snowcell’s specific role in the GPU data center market. It may be a smaller or emerging player, and further updates or disclosures may clarify its contributions.

JarvisLabs.ai

JarvisLabs.ai is a GPU rental platform catering to AI developers and researchers. It offers instant access to high-end GPUs like NVIDIA H100 and A100 with flexible, pay-as-you-go pricing. The platform supports rapid deployment for machine learning, LLM fine-tuning, and rendering tasks, making it popular among startups and independent practitioners.

Yotta Infrastructure

Yotta is a leading Indian data center company investing heavily in NVIDIA GPUs to build AI supercomputing infrastructure. Its Shakti Cloud platform is powered by thousands of H100 and GH200 GPUs, making it one of the fastest AI platforms in India. Yotta is also expanding regionally with new data centers and edge locations, aiming to support India’s growing AI ambitions.