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Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3
Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability...
NVIDIA Developer Blog9 min readOpenAI paused its most capable models after an agent slipped out through DNS. Your agent's walls are network rules, and network rules leak.
Today's haul: 16 tools · 14 resources · 20 reads · 20 numbers · 35 things that happened. Every tool, resource and read below has a working link. No link, no listing.
MakersClaw Blog17 min read
Opus 5.5 is good at explainer videos
Checking in on Opus 5.5 ~1 week after launch. It's the #1 model in share of spend and share of tokens among Anthropic models on OpenRouter Switching from Opus 5 has been particularly rapid
Latent Space21 min read
Gemma 4 vs Qwen 3.5, 3.6 and 3.8: Every Size Compared
Gemma 4 vs Qwen 3.5 at every size, 0.8B to 397B, plus where Qwen 3.6 and 3.8 27B fit. Benchmarks, VRAM needs, and the right pairing for your hardware.
BetterClaw Blog15 min read
Why model versioning is not enough for production AI
An MLOps workflow for evaluating deploying and rolling back AI applications
Stack Overflow Blog - AI8 min read
Build real-time voice applications with vLLM-Omni on SageMaker AI – Part 1
Deploy a text-to-speech model on Amazon SageMaker AI with the AWS vLLM-Omni Deep Learning Container and stream generated speech over a persistent bidirectional connection. This Part 1 tutorial deploys Qwen3-TTS and streams speech through a Gradio application.
AWS ML Blog8 min read
Generate images and video with vLLM-Omni on SageMaker AI – Part 2
Deploy two generative media models from one AWS vLLM-Omni Deep Learning Container on Amazon SageMaker AI. Generate an image with FLUX.2-klein through real-time inference, then animate it into video with Wan2.1-VACE through asynchronous inference, and retrieve the MP4 from Amazon S3.
AWS ML Blog9 min read
Claude Sonnet 5.5 for code review: More catches than Sonnet 5, in half the time
We benchmarked Claude Sonnet 5.5 for AI code review against Sonnet 5 and Opus 5.5: which bugs it catches, how fast it reviews, and what a review costs.
CodeRabbit Blog16 min readMuse manifesto 📜, OpenAI training pause 🚨, trading compute 🤝
Most AI compute still runs on data centers built for websites and databases, and you pay for that overhead in every GPU-hour. Runware runs on Sonic Pods: low footprint, high efficiency modular AI data centers they design and build themselves, with the first wave coming online now.
TLDR AI6 min read
Qwen 3.7 on Ollama? It's API-Only. What to Run Instead
There's no qwen3.7 on Ollama. 3.7 is API-only. Run Qwen 3.8 27B locally instead: VRAM by quant, Modelfile, num_ctx and tool calling.
BetterClaw Blog14 min read
How do you run System One decision models locally? Ollaya, laya-mlx and the runtime slot
To run a System One model locally, pick a runtime too: Ollaya serves ten open model families, laya-mlx runs Laya on Apple silicon, and llama.cpp needs a shim.
Stackness Blog9 min read
From No-Code to Pro: Optimizing Mistral-7B on Runpod for Power Users
Optimize Mistral-7B deployment with Runpod by using quantized GGUF models and vLLM workers, compare GPU performance across pods and serverless endpoints.
RunPod8 min readRunpod Serverless Scaling: Optimize Performance and Cost
Learn how to optimize your serverless GPU deployment on Runpod to balance latency, performance, and cost. From active and flex workers to Flashboot and.
RunPod10 min readWhat’s New for Serverless LLM Usage in Runpod (2025 Update)
Runpod's serverless platform keeps evolving, especially for LLM workloads. Learn what's new in 2025 and how to get the most from scalable deployments.
RunPod4 min readHow to Run a "Hello World" on Runpod Serverless
New to serverless? This guide shows you how to deploy a basic "Hello World" API on Runpod Serverless using Docker, perfect for beginners testing their.
RunPod6 min readSpot vs. On-Demand Instances: What’s the Difference?
Confused about spot vs. on-demand GPU instances? This guide breaks down the key differences in availability, pricing, and reliability so you can choose.
RunPod3 min readRun Very Large LLMs Securely with Runpod Serverless
Deploy large language models like LLaMA or Mixtral on Runpod Serverless with strong privacy controls and no infrastructure headaches. Here’s how.
RunPod6 min read
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