Open-source alternatives to Jev, and what each one replaces
The open-source alternatives to Jev are Laya, Kev, SemIf, Open-Jev and Nimble. They are four kinds of project, and here is what each one replaces.
Stackness Blog11 min read
vLLM
261 stories
GPT-6 ⚡, Opus 5.5 🧠, AI leaders at UN 🌐
OpenAI introduced GPT-6 Sol and Luna as faster, more affordable counterparts to GPT-6 Astra, bringing advances in coding, factuality, computer use, and professional tasks to lower-cost models.
TLDR AI5 min read
Hardware-Agnostic Models in vLLM
TL;DR To achieve state-of-the-art performance at the frontier, vLLM is changing its internal implementation in ways that make it incompatible with fullgraph torch.compile. This may have consequences for users who...
PyTorch Blog9 min read
How Shopify built a continual learning loop with PyTorch and vLLM
TL;DR: This case study explores how Shopify compresses production failures into model weights every day, beats frontier-model quality, and cuts serving costs 96% by building a continual learning loop with...
PyTorch Blog10 min read
AI Sovereignty: Bargaining with Big Tech and the Promise of Full Stack Open Source AI
The early rapid expansion of AI capabilities that focused on frontier models was largely ushered into the world by a few powerful, US-based AI labs. Open-weight models released from labs in China, early on from DeepSeek, and later from Moonshot, Z.ai, and others, have in part disrupted that…
O'Reilly Radar - AI/ML6 min read
Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M
This is a first for the “Apple of China” phone maker-turned-frontier lab: “The MiMo-V2.6 series includes two natively omnimodal models: MiMo-V2.6-Pro is our most capable model to date, while MiMo-V2.6-Flash strikes the best balance between intelligence, efficiency, and cost.
Latent Space11 min read
How to Run a Big Model on Cheap Hardware?
A large AI model can run on modest hardware only by reducing the memory it occupies, reducing the calculations it performs, or moving some work to slower hardware.
ByteByteGo — System Design and Tech13 min read
The Roadmap to Mastering LLM Inference Optimization
In this article, you will learn how LLM inference optimization works and which techniques to apply to make language models faster, cheaper, and more reliable...
Machine Learning Mastery11 min read
How to Build a GraphRAG System with Python, Neo4j and ServiceNow [Full Book]
Somewhere in your company's ServiceNow instance is the answer to the question an engineer asks at two in the morning: if this is broken, what else is about to break? Every fact needed to answer it has
freeCodeCamp — AI346 min read
Benchmarking LLM Inference at Scale with AIPerf
You’re deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send...
NVIDIA Developer Blog8 min read
Chinese AI vs ChatGPT: What Are the Core Architectural Differences?
When comparing Chinese AI vs ChatGPT, your decision comes down to cost versus security. If you need low API pricing, open weights, and fast coding assistance, Chinese AI models like DeepSeek lead the way. However, if your team...
ClickRank Blog27 min read
not much happened today
AI News for 9/16/2026-9/17/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies!
Latent Space22 min read
PyTorch Day Japan 2026 Comes to Tokyo on December 10
PyTorch Day Japan 2026 will bring the open source AI community together in Tokyo on December 10 for a full day of technical talks and interactive discussions designed to foster...
PyTorch Blog2 min read
Where the Industry Is Investing: A Look at MLPerf Inference v6.1
In this analysis, MLPerf Inference Working Group chairs Miro Hodak and Frank Han break down a record field of 30 submitters and 120 systems, the arrival of agentic and end-to-end benchmarks, and what the results signal about where inference engineering is headed.
MLCommons9 min read
Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)
Steve Yegge has been very popular and loud in his gung ho adoption of tokenmaxxing, so it is sobering to see him now shut down Gas Town and admit that despite spending many thousands a month on coding agent subscriptions… he only ever built Gas Town with it:
Latent Space33 min read
Open Research, Tooling & Optimization at PyTorch Conference North America 2026
TL;DR Taking place October 20 to 21 in San Jose, California, PyTorch Conference North America 2026 highlights open research, tooling, and performance optimization across compiler architecture, cross-hardware kernel domain-specific languages,...
PyTorch Blog20 min read
NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut
System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue.
NVIDIA AI Blog4 min read
Best GPU for Embedding Workloads: Throughput & Cost Benchmark
Compare GPUs and serving engines like TEI and vLLM across top embedding models. Discover which GPU delivers the best throughput per dollar for your workload.
RunPod11 min read
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