Ollama y OpenClaw: cómo ejecutar OpenClaw con un modelo local
There is no dedicated Ollama integration. You connect OpenClaw to Ollama through Ollama’s OpenAI-compatible API at http://localhost:11434/v1, treating it as […]
Noticias de IA
Daily AI news for people who build with it: model launches, API pricing changes, chip supply and the funding moves that shape what you can run and what it costs.
La ronda de financiación de una startup de seguridad de IA de Anthropic alcanza los 140 millones de dólares
Bloomberg reports that an AI security startup working with Anthropic and Google has raised $140 million. The report is brief, so we separate what is confirmed from the wider industry context.
El modelo de financiación de IA de NVIDIA añade riesgo al balance
Nvidia’s move to provide financing to AI customers has positioned it as a banker to the sector, but the arrangement introduces new credit risks to its balance sheet.
Anthropic persigue una OPI de 2 billones de dólares: cómo invertir en Anthropic
Anthropic is reportedly targeting a $2 trillion valuation for a potential public offering, though concerns have surfaced about its most advanced AI model.
Safetensors: formato rápido y seguro para almacenar pesos de modelos
TL;DR: Safetensors is a file format for storing machine learning model weights that prevents arbitrary code execution vulnerabilities present in
Soporte multimodal integral de vLLM: Ejecución de modelos multimodales con vLLM
“vLLM omni” almost always refers to running omni-modal models (text + vision + audio + video) on the vLLM inference
El crecimiento de usuarios empresariales de OpenAI supera al de Anthropic en 2026
OpenAI is signing up enterprise customers faster than Anthropic, according to Inc. — and that traction may prove more decisive than either company’s valuation.
Uso de Ollama con Claude Code: Guía para configurar modelos locales
Claude Code does not natively support Ollama — it expects the Anthropic API. To use local models, you run a
LM Studio: Guía completa para ejecutar modelos de IA locales
TL;DR:LM Studio is a free desktop application for running large language models locally on your computer without coding or command-line workDownload models directly from Hugging Face through the built-in browser, supports GGUF format with automatic quantization selectionIncludes chat UI, local API server (OpenAI-compatible), and automatic hardware acceleration (CUDA, Metal, CPU)Requires sufficient VRAM/RAM based on model size—typically 8GB minimum for 7B models, 24GB+ for 13B modelsLM Studio is a desktop application that lets you download, run, and interact with large language models on your own computer.
Los precios de la API de DeepSeek superan a los de Claude según el análisis del segundo trimestre
A new CreditSights analysis examines how DeepSeek’s efficiency claims are influencing Q2 2026 datacenter supply and demand dynamics, with implications for API economics across frontier models.
GPT-OSS de Ollama: Guía completa para ejecutar los modelos abiertos de OpenAI
TL;DRgpt-oss:20b runs in ~16GB memory (fits most gaming GPUs), gpt-oss:120b needs ~70GB (single 80GB GPU or split across consumer cards)Install with ollama pull gpt-oss:20b or ollama pull gpt-oss:120b, then run with ollama run gpt-oss:20bBoth variants use MXFP4 quantisation at 4.25 bits per parameter and support 128K context windowsReleased by OpenAI as open-weight models in partnership with Ollama, comparable to Llama 3.1 and Qwen 2.5 in quality OpenAI released gpt-oss as open-weight models in August 2025, distributed exclusively through Ollama.
Gemma en Ollama 4: Modelos Gemma actuales y cómo ejecutarlos
TL;DR:There is no Gemma 4 release as of August 2026.
