Get your VLM running in 3 simple steps on Intel CPUs

Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs

Breaking the Ice: Analyzing Cold Start Latency in vLLM

arXiv:2606. 07362v1 Announce Type: new Abstract: As scalable inference services become popular, the cold start latency of an inference engine becomes important.

No GPU left behind: Unlocking Efficiency with Co-located vLLM in TRL

The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution

arXiv:2605. 27599v2 Announce Type: replace-cross Abstract: Agentic AI workloads - where a single user goal triggers multi-step orchestration, tool calls, retries, and failure recovery - are being targeted for edge deployment, with NVIDIA, Dell, HP, ASUS, MSI, Acer, and Gigabyte all shipping GB10-based desktop AI systems in 2026.

Accelerate your models with 🤗 Optimum Intel and OpenVINO

Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models