GMI Cloud, a leading AI-native GPU cloud provider, announced its Inference Engine which ensures businesses can unlock the full potential of their artificial intelligence (AI) applications. From chatbots to enterprise automation tools, customers no longer have to worry about infrastructure limitations. GMI Cloud’s AI inference engine delivers dynamic scaling, full infrastructure control, and global accessibility, catapulting AI development.
The AI industry is expected to make over $800 billion U.S. dollars by 2030, and the newly re-paved road toward that includes accessibility, cost-effectiveness, and scalability beyond what we’ve seen in the past. For years, AI development was about training models, experimenting with data, and pushing the boundaries of whether we can replicate thought and reasoning with computation. But the real challenge has been taking those models and turning them into practical, revenue-generating applications — answering the question as to why should businesses, companies, and the world at large really care about this technology.
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Inference—the once slow, costly, and hard-to-scale process of applying AI models to new data—has long hindered widespread adoption due to speed, cost, and scale.
“At GMI Cloud, we’ve transformed this challenge into an opportunity,” said Alex Yeh, CEO and Founder of GMI Cloud. “Our cutting-edge infrastructure and software empower businesses to deploy AI with speed, massive scale, and reduced costs.”
As the largest barrier to adoption is removed, a rapid amount of AI will be unleashed into the market. Businesses who don’t integrate AI into their core business processes will lose their competitive edge and slide into irrelevance.
“The revenue and growth-generation phase of AI is here, and any startup, business, or person can leverage this,” said Yeh.
Last year, GMI Cloud announced its Series A investment along with multiple partnerships with Singtel, Trend Micro, Vast Data, and Gynger.
Source: PRNewswire
