Run Llama 3.1 with vLLM on Runpod Serverless
Discover how to deploy Meta's Llama 3.1 using Runpod's new vLLM worker. This guide walks you through model setup, performance benefits, and step-by-step.
RunPod7 min read
vLLM
261 stories
How to Run vLLM on Runpod Serverless (Beginner-Friendly Guide)
Learn how to run vLLM on Runpod’s serverless GPU platform. This guide walks you through fast, efficient LLM inference without complex setup.
RunPod11 min readBuild an OCR System Using Runpod Serverless
Learn how to build an OCR pipeline with Runpod Serverless and Hugging Face models, for processing receipts, invoices, and scanned documents at scale.
RunPod4 min readBenchmarking LLMs: A Deep Dive into Local Deployment & Optimization
Curious how local LLM deployment stacks up? This post explores benchmarking strategies, optimization tips, and what DevOps teams need to know about.
RunPod4 min readIntroducing Better Forge: Spin Up Stable Diffusion Pods Faster
Better Forge is a new Runpod template that lets you launch Stable Diffusion pods in less time and with less hassle. Here's how it improves your workflow.
RunPod5 min read
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
Learn how to run SkyRL, an open-source reinforcement learning framework, on Amazon SageMaker HyperPod to post-train a Qwen3-VL-8B vision-language model with GRPO.
AWS ML Blog19 min read
Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI
Deploy the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from Amazon SageMaker JumpStart to a fully managed, real-time endpoint, and clone a voice from a short reference clip. Cross-lingual cloning preserves the speaker's identity across languages.
AWS ML Blog12 min read
Does Hindsight + Hermes = AGI?
Hermes moved its memory providers out of core and into the plugin catalog. Hindsight went first. Here is what changed, what you need to do about it, and where updates come from now.
Hindsight Blog11 min read
Jev vs. LLMs: When AI Moves from Generation to Decision-Making
I tested TypeSafe AI’s Jev on 3,080 classification tasks to see how its accuracy, latency, calibration, and confidence compare with LLMs — and whether it works as a practical decision layer for AI systems. The post Jev vs.
Towards Data Science25 min read
How to Build a Voice Agent on Fully Local Open-Source Models
The build side of running voice AI locally: what fits on one 24GB card, which runtime to use per stage, and what the latency actually looks like on a phone call.
Dograh Blog10 min read
The Future of Latent Space
A quiet day lets us discuss the work behind the scenes - now open for business!
Latent Space20 min read
Accelerate Your AI Journey with new Introduction Track at PyTorch Conference NA 2026 and PyTorch Associate Training
As deep learning models move rapidly from research prototypes into core enterprise infrastructure, the demand for practical, end-to-end PyTorch expertise has never been higher. Building robust neural networks requires more...
PyTorch Blog5 min read
Speaker-labeled transcription with WhisperX on SageMaker AI
The AWS WhisperX Deep Learning Container packages Whisper, wav2vec2 forced alignment, and speaker diarization into a GPU-ready image. Learn how to deploy it to Amazon SageMaker AI real-time and asynchronous endpoints for word-level, speaker-labeled transcription, plus the production details that…
AWS ML Blog13 min read
MLPerf Training Introduces Its First LLM Post-Training Benchmark
MLPerf Training v6.1 adds an agentic reinforcement-learning workload that measures how quickly systems can teach a 397-billion-parameter language model to repair real software projects. The post MLPerf Training Introduces Its First LLM Post-Training Benchmark appeared first on MLCommons.
MLCommons11 min read
MCP Explained in 5 Minutes
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams that make the whole concept easy for anyone to understand.
KDnuggets7 min readAmazon SageMaker HyperPod Inference Gateway for scalable LLM inference
Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing system that deploys as a single EKS managed add-on on existing SageMaker HyperPod infrastructure with zero application changes.
AWS New (What's New)1 min readFrom Research Project to Open Source Ecosystem: Bring Your Academic PyTorch Project to PyTorchCon NA
Some of the most interesting work being built with PyTorch starts in universities, research labs, student groups, and academic institutions. A new model architecture. A library created to support a...
PyTorch Blog6 min read
What people built on Jev in its first week, and which stack slot each project fills
Jev's first week brought a trusted monitor, computer-use agents, self-hosted clones, a benchmark and a joke chatbot: the slot each fills and which numbers hold.
Stackness Blog12 min read
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