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News
NVIDIA NemoClaw Powers Memory-Driven AI Agents for Enterprise
1+ week, 1+ day ago (288+ words) Peter Zhang Sep 04, 2026 18:45 NVIDIA NemoClaw enables memory-driven AI agents, boosting task accuracy and context retention for enterprise workflows. Learn key insights. NVIDIA's NemoClaw is pushing the capabilities of AI agents by introducing memory-driven features that improve task accuracy and decision-making…...
Gimlet Labs nabs $300M for its disaggregated inference platform
1+ week, 1+ day ago (523+ words) UPDATED 18:59 EDT / SEPTEMBER 04 2026 Gimlet Labs Inc., a startup that helps developers speed up their inference workloads, has raised $300 million in funding at a $3 billion valuation. Andreessen Horowitz led the Series B round. Gimlet stated in a blog post today that…...
Nebius Token Factory Explained: Eigen AI, Clarifai, Inference and the Move Beyond GPU Rental
1+ week, 5+ day ago (998+ words) The easiest way to understand Nebius Token Factory is to ask what Nebius does after it has built the GPU cluster. If the answer is only: then the business can eventually become a commodity. Nebius is trying to move further…...
Celeris-1 Magnus: the fastest model for agentic use cases
1+ week, 5+ day ago (144+ words) Magnus is built for agents that need to think, use tools, and get things done, without waiting around. 41.2% on τ³-bench banking, ahead of gpt-5.6-sol, with the field's best solve rate. One flag between fast and thorough. 13.4 extra points when…...
Speed Up LLM Inference with DSpark Speculative Decoding
1+ week, 6+ day ago (846+ words) Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA. There are many ways to get more from the models and GPU infrastructure you already have. Quantization, optimized kernels, and…...
NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
2+ week, 6+ day ago (443+ words) AgentX is the agentic-coding benchmark in InferenceX, SemiAnalysis’s open-source benchmark suite. It measures how efficiently accelerators serve the request patterns produced by real coding agents. Agentic sessions are long, stateful, and variable: they chain model calls, tool use, and growing…...
Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU
3+ week, 1+ day ago (289+ words) The shape of an agentic trajectory is defined by its length and width (Figure 2). This is why the relevant optimization target for an agentic CPU fleet is the total number of completed user sessions, not raw core count. High-core-count systems…...
AgentX - InferenceXv3: Does CUDA Moat Hold up in Agentic Inferencing?
2+ week, 6+ day ago (1699+ words) Since the Claude Code inflection point in November 2025, long-context, multi-turn agentic workloads have grown rapidly. They now dominate traffic for production inferencing. In April 2026, OpenAI’s Enterprise agentic spending overtook ChatGPT spending. Agentic workflows have decisively taken the baton. Today, we…...
One Model Is No Longer Enough: Why NVIDIA’s NeMo Switchyard Matters for Real Agentic Workflows
3+ week, 19+ hour ago (391+ words) The teams shipping the most capable agentic systems have already moved past the single-model …...
Nvidia Shows AI Agents Need More Than Models to Solve Complex Tasks
3+ week, 1+ day ago (566+ words) A surprising benchmark result points to the software surrounding an AI model as the hidden force behind reliable multi-step reasoning. Nvidia has released research findings that reshape the understanding of the key factor behind the success of AI agents. For…...