Product | Market Share (%) |
---|---|
GAUDI | 2.7% |
Hailo-8 | 32.5% |
NVIDIA RTX Series | 25.4% |
Other | 39.4% |
Product | Market Share (%) |
---|---|
NVIDIA DGX Cloud | 15.3% |
Google Vertex AI | 17.0% |
Amazon Bedrock | 14.7% |
Other | 53.0% |
Gaudi is a processor that handles machine learning training workloads, and has 32GB of memory built-in, a memory bandwidth of 1TB per second, and consumes up to 200W. The only AI processor with Integrated RDMA over Converged Ethernet to provide scalability and lower total cost of ownership. Gaudi is designed for versatile and efficient system scale out and scale up with integrated on-chip RoCE RDMA, enabling high-performance inter connectivity.
NVIDIA DGX Cloud is a powerful infrastructure solution designed for artificial intelligence and machine learning workloads, offering scalable and high-performance compute capabilities to streamline AI development and deployment across enterprises.
Providing access to NVIDIA's most advanced GPUs, DGX Cloud delivers an efficient and robust cloud-based platform for managing AI applications. Users benefit from its integration with popular AI frameworks and tools, making it a preferred choice for developers aiming to accelerate AI projects. With its focus on flexibility, DGX Cloud supports diverse workloads, catering to the needs of organizations striving for innovation in machine learning and data analytics.
What are the standout features of NVIDIA DGX Cloud?In industries like healthcare, finance, and automotive, NVIDIA DGX Cloud is transforming workflows by enabling faster model training and deployment. Companies utilize its capabilities to enhance predictive analytics, improve decision-making, and drive advancements in autonomous systems, making it indispensable for firms seeking a competitive edge in AI.
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