Deploying LLMs to any cloud or on-pre, with NIM and dstack
With dstack's latest release, it's now possible to use NVIDIA NIM with dstack to deploy LLMs to any cloud or on-prem—no Kubernetes required.
With dstack's latest release, it's now possible to use NVIDIA NIM with dstack to deploy LLMs to any cloud or on-prem—no Kubernetes required.
dstack is a streamlined alternative to Kubernetes and Slurm, specifically designed for AI. It simplifies container orchestration for AI workloads both in the cloud and on-prem, speeding up the development, training, and deployment of AI models. dstack is easy to use with any cloud providers as well as on-prem servers. dstack supports NVIDIA GPU, AMD GPU, and Google Cloud TPU out of the box. With its latest release, it's now possible to use NVIDIA NIM with dstack to deploy LLMs to any cloud or on-prem—no Kubernetes required.
Tomorrow marks the opening of Imagine Next — Silicon Valley’s Global Climate Tech Capital Summit, bringing together founders, investors, corporates, and system leaders to accelerate planet-first innovation.
Loop raised $95 million in Series C funding led by Valor Equity Partners to scale its AI platform that transforms fragmented supply chain data into actionable intelligence, addressing operational and financial decision-making across logistics, finance, and enterprise workflows.
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AI INFRA SUMMIT 5 takes place May 1, 2026 in Sunnyvale. Data Phoenix offers a limited number of application-based Builders Passes for AI builders. Apply now.
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