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.
Mercor recently confirmed it was victim to a security incident related to the compromise of the popular open-source project LiteLLM. Extortion group Lapsus$ has claimed responsibility for the attack, allegedly posting a sample of the stolen data on its leak site.
Legal tech startup Harvey has recently confirmed that it successfully raised $200 million at an $11 billion valuation. The round was co-led by returning investors GIC and Sequoia, with participation from Andreessen Horowitz, Coatue, Conviction Partners, and Elad Gil, among others.
Wikipedia has implemented a new policy that bans AI-generated article creation and substantial rewrites. The ban on LLM usage was voted by Wikipedia's editor community, who found themselves increasingly overwhelmed by the non-stop flood of AI slop making its way into the encyclopedia.
Granola recently raised a $125M Series C at a $1.5B valuation. In addition to the round announcement, Granola also shared the three new features coming to the app: personal and enterprise APIs, an updated MCP, and Spaces for sharing and collaboration.
Interloom has raised a $16.5M seed round to develop a platform that captures undocumented operational expertise and transforms it into a permanent context layer for AI agents. With its "Context Graph", Interloom aims to address the critical knowledge gap that affects enterprise AI deployment.
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