Sify CloudInfinit+AI is the GPU-as-a-Service (GPUaaS) that provides enterprises & organizations with access to powerful graphics processing units (GPUs) on a pay-as-you-go basis
Sify Technologies, India’s leading data center and cloud service provider, has launched GPU Cloud christened CloudInfinit+AI for enterprises & organizations. The Sify CloudInfinit+AI offer enterprise cloud users GPU-as-a-Service (GPUaaS). This platform is a tangential leap over Sify’s existing portfolio of services.
GPU-as-a-Service is a cloud-based offering that provides users with access to powerful graphics processing units (GPUs) on a pay-as-you-go basis. This service is designed to support compute-intensive tasks such as machine learning, deep learning, model training, inferencing, data analytics, rendering, and scientific simulations, which require significant processing power.
Vijay Bellam, Chief Product Officer, Sify Technologies, said, “CloudInfinit+AI is a critical milestone in Sify’s progression as a digital transformation partner. Recently, we’ve became the first service provider in India to achieve NVIDIA DGX-Ready data center certification for liquid and air cooling.”
CloudInfinit+AI is a critical milestone in Sify’s progression as a digital transformation partner. Recently, we’ve became the first service provider in India to achieve NVIDIA DGX-Ready Data Center certification for liquid and air cooling.
Vijay Bellam
Chief Product Officer
Sify Technologies
“With CloudInfinit+AI , we’re strengthening our portfolio beyond data center, network enterprise cloud and managed services offering GPU cloud supporting and uniquely positioned to support hybrid cloud deployments by offering low-latency interconnect to hyperscale clouds and cloud adjacent high-density colocation that will support a broad range of AI Workloads”, elaborated Bellam.
Key Features of the service will be scalability where users can scale their GPU resources both ways, allowing for flexibility in handling varying workloads without the need for significant capital investment in hardware, accessibility of high-performance computing to a wider range of users, including startups and small businesses that may not have the resources to invest in expensive GPU infrastructure and the cost-effectiveness of using a subscription model.
Also, GPU-as-a-Service democratizes access to high-performance computing resources, enabling organizations to leverage advanced technology for innovation and efficiency.
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