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.
Freeform raised $67 million in Series B funding to scale its AI-powered metal 3D-printing platform, with its next-generation Skyfall system set to expand capacity 25x and produce thousands of kilograms of parts daily starting in 2026.
Anthropic raised $30 billion in Series G funding at a $380 billion valuation—more than doubling from $183 billion—driven by $14 billion in run-rate revenue and rapid adoption of Claude Code, which now accounts for 4% of all GitHub commits worldwide.
German synthetic data startup simmetry.ai raised €330,000 from NBank to expand its platform that generates photorealistic, annotated synthetic data for training computer vision models in agriculture, food production, and industrial applications.
OpenAI disbanded its mission alignment team, which communicated the company's mission to employees and the public, and reassigned its leader Josh Achiam to a new "chief futurist" role. Achiam described the new role as involving "studying how the world will change in response to AI".
Benchmark Capital raised $225 million through two special vehicles to invest in AI chipmaker Cerebras Systems' $1 billion Series H. backing the company's massive wafer-scale chips that compete with Nvidia.
SF Bay Area media and education platform focused on AI and Data. As a voice of AI industry, Data Phoenix delivers news, practical knowledge, and helps companies be heard in the community.
Copyright © 2026 Data Phoenix. Published with Ghost and Data Phoenix.
Comments