Every new LLM architecture comes with its own inference challenges, from transformer models to hybrid vision language models (VLMs) to state space models (SSMs). Turning a reference implementation into a high-performance inference engine typically requires adding KV cache management, sharding weights across GPUs, fusing operations, and tuning the execution graph for specific hardware. AutoDeploy shifts this workflow toward a compiler-driven approach. Instead of requiring model authors to manually reimplement inference logic, AutoDeploy automatically extracts a computation graph from an off-the
Automating Inference Optimizations with NVIDIA TensorRT LLM AutoDeploy | NVIDIA Technical Blog…Discuss (0) Discuss (0) Tags Developer Tools & Techniques | MLOps | Networking / Communications | HPC / Scientific Computing | Dynamo | NVLink | TensorRT-LLM | Intermediate Technical | Deep dive | Tutorial | AI Agent | AI Inference | Inference Performance | Python About the…
…Why enforce sandbox controls at an OS level? Agentic tools, particularly for coding, perform arbitrary code execution by design. Automating test- or specification-driven development requires that the agent create and execute…
…protect LLM inputs and outputs. Learn more This indirect AGENTS.md injection vulnerability as explored by the NVIDIA Red Team underscores the critical need for vigilance in securing AI-driven development environments…
…there are preference pairs (from humans, an LLM judge, or rule-based verifiers) but no reliable scalar reward. RLVR with GRPO is the right tool when outputs are objectively verifiable and there…
…LLM) Layer 1: The frontend Multi-protocol support Agent harnesses are increasingly adopting v1/responses and v1/messages over v1/chat/completions to cleanly handle new patterns including interleaved thinking and tool…
…More broadly, combining 4-bit quantization with efficient inference runtimes, like Llama.cpp and TensorRT-Edge-LLM , makes a wide range of models accessible within this memory budget with LLMs up to…
…AI-driven RAN optimization. Ansys Perceive EM and Ansys HFSS Ansys, part of Synopsys, is integrating Ansys HFSS and Ansys Perceive EM software with AODT, expanding the capabilities of these tools and…
…Different tools address different levels. How inference frameworks coordinate scaling Inference frameworks address scaling at the application level with custom autoscalers that have visibility into inference-specific metrics. llm-d’s workload…
…as video and docs, was driven by several real-world factors: Multi-workstream support: The RAG Blueprint serves multiple workflows (search portals, chatbots, dashboards, compliance tools) as a unified knowledge layer. The…
…Discuss (1) Discuss (1) Tags Agentic AI / Generative AI | Developer Tools & Techniques | Trustworthy AI / Cybersecurity | General | NeMo | Nemotron | Beginner Technical | News | Agent toolkit | AI Agent | claws | DGX Spark | featured | GTC 2026 | LLMs…