Ollama und OpenClaw: So führen Sie OpenClaw auf einem lokalen Modell aus
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 […]
Finanzierungsrunde des Anthropic-AI-Sicherheits-Startups erreicht 140 Millionen US-Dollar
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.
Nvidias KI-Finanzierungsmodell erhöht das Risiko für die Bilanz
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 strebt einen Börsengang im Wert von 2 Billionen US-Dollar an: Wie kann man in Anthropic investieren?
Anthropic is reportedly targeting a $2 trillion valuation for a potential public offering, though concerns have surfaced about its most advanced AI model.
Safetensors: Ein schnelles und sicheres Format zur Speicherung von Modellgewichten
TL;DR: Safetensors is a file format for storing machine learning model weights that prevents arbitrary code execution vulnerabilities present in
vLLM-Omni-Modal-Unterstützung: Ausführen multimodaler Modelle mit vLLM
“vLLM omni” almost always refers to running omni-modal models (text + vision + audio + video) on the vLLM inference
Wachstum der OpenAI-Geschäftsbenutzer übertrifft das von Anthropic im Jahr 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.
Anleitung zur lokalen Einrichtung von Claude Code mit Ollama
Claude Code does not natively support Ollama — it expects the Anthropic API. To use local models, you run a
OpenAI-Codex-Open-Source-Veröffentlichung senkt die Kosten für Entwickler-APIs
OpenAI has reportedly fully open-sourced its Codex Harness, according to 36 Kr, opening the AI coding orchestration framework to independent deployment and inspection. The move has significant implications for how engineering teams manage API costs and build AI coding workflows.
LM Studio: Vollständiger Leitfaden zum Ausführen lokaler KI-Modelle
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.
DeepSeek-API-Preismodell unterbietet Claude in der Q2-Analyse
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.
Sora 2 vs. Veo 3 (2026): Preis, Auflösung und für welchen Einsatz sich welches Modell eignet
Sora 2 vs Veo 3 is the wrong comparison now. Google shut Veo 3 down on 30 June 2026 and directs new work to Veo 3.1, so the live matchup is Sora 2 against Veo 3.1.
