Canonical Streamlines AI Deployment with Silicon-Optimized Inference Snaps Deploying AI models on Ubuntu devices just became simpler and faster, thanks to With this new solution, developers and users can install and run leading AI models like DeepSeek R1 and Qwen 2.5 VL usin... AI deployment Ampere developer tools hardware optimization inference snaps Intel open source Ubuntu
IBM Granite 4.0 Models Now Available on Docker Hub: Accelerate Your Generative AI Workflow With IBM Granite 4.0 models landing on Docker Hub, developers now have immediate access to state-of-the-art language technology, ready for experimentation and deployment. This integration combines the... AI deployment Docker Hub generative AI IBM Granite language models Model Runner open-source AI
Boosting Low-Precision AI: Fine-Tuning GPT-OSS with Quantization-Aware Training Deploying large language models requires balancing accuracy and efficiency , a challenge that intensifies as demand for high-throughput generative AI grows. The open-source gpt-oss model, featuring a ... AI deployment fine-tuning gpt-oss low precision model optimization NVIDIA QAT quantization
Google Cloud and Docker Supercharge AI App Deployments with Compose-to-Cloud Run Integration Deploying AI applications from local development to production environments is now easier than ever, thanks to a groundbreaking collaboration between Google Cloud and Docker. The seamless integration ... Agentic applications AI deployment Cloud Run Compose Specification Docker Compose GPU Serverless
Mistral Medium 3: Redefining Enterprise AI Performance and Value Enterprise AI Without the Trade-offs Many organizations face a dilemma: unlock the power of advanced AI or manage soaring costs and complex deployments. Mistral Medium 3 changes the equation by delive... AI benchmarks AI deployment coding AI cost efficiency enterprise AI language models Mistral Medium model performance