Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI

Deploying 🤗 ViT on Vertex AI

Making thousands of open LLMs bloom in the Vertex AI Model Garden

Build and Run Your Own AI Agent in the Cloud

Build and deploy an agent on AWS with Strands and AgentCore The post Build and Run Your Own AI Agent in the Cloud appeared first on Towards Data Science .

Llama can now see and run on your device - welcome Llama 3.2

Welcome Llama 3 - Meta's new open LLM

Make your llama generation time fly with AWS Inferentia2

TGI Multi-LoRA: Deploy Once, Serve 30 Models

Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot

Deploy models on AWS Inferentia2 from Hugging Face

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs

arXiv:2511. 10480v3 Announce Type: replace-cross Abstract: Optimizing the performance of large language models (LLMs) on large-scale AI training and inference systems requires a scalable and expressive mechanism to model distributed workload execution.

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research

arXiv:2512. 16455v4 Announce Type: replace-cross Abstract: The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps tools and platforms, and the unique requirements of modern and Open Science, particularly regarding the FAIR (Findable, Accessible, Interoperable, and Reusable) principles.

GLM-5 Serving Parameter Tuning for OpenClaw: Single-Deployment MaaS Inference Optimization for Long-Context Agent Workloads

arXiv:2607. 02518v1 Announce Type: cross Abstract: OpenClaw requests are dominated by long, tool-augmented prefixes, including system prompts, conversation history, and tool outputs fed back into the context window.