positive
Global cloud majors expand GPU-sharing partnerships as enterprise AI workloads surge
AI industry updates on 17 November 2025 revealed that several global cloud providers are expanding GPU-sharing frameworks to match rising enterprise demand for training and inference workloads. Technology integrators reported that requests for distributed compute clusters grew significantly in financial services, logistics and healthcare this quarter. Companies are increasingly choosing shared accelerator pools to reduce capex exposure and optimize model-governance processes. Experts said improved multi-node orchestration tools and fine tuning pipelines are shortening deployment cycles across industries.
Cloud majors are also negotiating long-term renewable-energy-backed power contracts to support high-density AI campuses globally.
Reuters• By Pooja Kumari
Explore:Mutual Fund Categories
positive
Global cloud majors expand GPU-sharing partnerships as enterprise AI workloads surge
AI industry updates on 17 November 2025 revealed that several global cloud providers are expanding GPU-sharing frameworks to match rising enterprise demand for training and inference workloads. Technology integrators reported that requests for distributed compute clusters grew significantly in financial services, logistics and healthcare this quarter. Companies are increasingly choosing shared accelerator pools to reduce capex exposure and optimize model-governance processes. Experts said improved multi-node orchestration tools and fine tuning pipelines are shortening deployment cycles across industries.
Cloud majors are also negotiating long-term renewable-energy-backed power contracts to support high-density AI campuses globally.
Reuters• By Pooja Kumari
Explore:Mutual Fund Categories
Breaking
positive
Global cloud majors expand GPU-sharing partnerships as enterprise AI workloads surge
1 min read
91 words
Cloud majors expanded GPU-sharing programs on 17 November to handle rising enterprise AI workloads, with industries accelerating adoption of distributed compute infrastructure.
AI industry updates on 17 November 2025 revealed that several global cloud providers are expanding GPU-sharing frameworks to match rising enterprise demand for training and inference workloads. Technology integrators reported that requests for distributed compute clusters grew significantly in financial services, logistics and healthcare this quarter. Companies are increasingly choosing shared accelerator pools to reduce capex exposure and optimize model-governance processes. Experts said improved multi-node orchestration tools and fine tuning pipelines are shortening deployment cycles across industries.
Cloud majors are also negotiating long-term renewable-energy-backed power contracts to support high-density AI campuses globally.
AI industry updates on 17 November 2025 revealed that several global cloud providers are expanding GPU-sharing frameworks to match rising enterprise demand for training and inference workloads. Technology integrators reported that requests for distributed compute clusters grew significantly in financial services, logistics and healthcare this quarter. Companies are increasingly choosing shared accelerator pools to reduce capex exposure and optimize model-governance processes. Experts said improved multi-node orchestration tools and fine tuning pipelines are shortening deployment cycles across industries.
Cloud majors are also negotiating long-term renewable-energy-backed power contracts to support high-density AI campuses globally.
Tags:
AI
cloud computing
AI
cloud computing
GPUs
infrastructure
enterprise tech