برچسب
۳۳ مقاله
Microsoft will scale its Maia accelerator family to multi gigawatt deployments from 2027, making it the primary inference system for its own products. Maia 300 collapses scale up and scale out onto one Ethernet fabric and moves KV state between prefill and decode workers without leaving it. Practitioners have…
TL;DR Deploying PyTorch models on microcontrollers has historically required converting to other framework formats, maintaining separate toolchains, and debugging cross framework numerical mismatches. ExecuTorch eliminates this conversion step entirely. The Cortex M... The post Bringing ExecuTorch to Arm Cortex M…
Brendan O'Leary discusses how real world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi model routing, and feedback loops to…
Authors: Divya Gadde , Ko Jen Hsiao , Dhaval Patel and Moumita Bhattacharya The motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized models and it requires significant time and resources to maintain and…
How we detect failing GPUs and network fabric, remediate machines automatically, and let long running jobs survive hardware loss. Authors: Nick Rutigliano , Argha C , Samartha Chandrashekar Open Netflix, and the home screen is assembled for you: which rows appear, the order they appear in, the titles within them, and…
We are expanding the Clef decision model family with Clef omni, natively processing audio, video, images, and text in a single pipeline. We’ve also lowered Clef flash pricing and boosted Clef inference speeds by up to 2.0x.
TL;DR Agentic workloads change the traffic an inference server sees. Unlike single turn chat, an agent session can involve a large initial prefill, repeated model calls, and subagents running in parallel,... The post Session Aware Agentic Inference with NVIDIA Dynamo appeared first on PyTorch .
Cloudflare Managed Defense uses a team of specialized AI agents built on Workers and global network telemetry to analyze security alerts. By separating deterministic evidence collection from model inference, the system delivers grounded recommendations to Managed Defense Analysts.
TL;DR We integrated Helion into vLLM’s linear backend to explore how an autotuned, high level kernel DSL can improve LLM inference performance while reducing kernel implementation complexity. A single Helion general... The post Building a High Performance and Portable vLLM Linear Backend with Helion appeared first on…
Cloudflare AI Gateway now supports native web search API integration in partnership with Ceramic.ai, Exa, and Linkup. Developers can now inject real time web context into model inference calls via AI Gateway, REST APIs, or Workers bindings.
Discover how Uber engineered a highly scalable feature logging pipeline to ensure data consistency for training/serving and boost performance for large scale models. MachineLearning MLOps UberEngineering DataEngineering Scaling
Cursor cloud agents can now execute on pools of Self Hosted Machines you manage.
Today we are excited to announce the availability of TypeScript 6.0! If you are not familiar with TypeScript, it’s a language that builds on JavaScript by adding syntax for types, which enables type checking to catch errors, and provide rich editor tooling. You can learn more about TypeScript and how to get started…
Today we are excited to announce the Release Candidate (RC) of TypeScript 6.0! To get started using the RC, you can get it through npm with the following command: npm install D typescript@rc TypeScript 6.0 is a unique release in that we intend for it to be the last release based on the current JavaScript […] The post…
Today we are announcing the beta release of TypeScript 6.0! To get started using the beta, you can get it through npm with the following command: npm install D typescript@beta TypeScript 6.0 is a unique release in that we intend for it to be the last release based on the current JavaScript codebase. As announced […]…
Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how.
Firefox 130 will introduce an experimental new capability to automatically generate alt text for images using a fully private on device AI model. The feature will be available as part of Firefox’s built in PDF editor, and our end goal is to make it available in general browsing for users with screen readers. The post…
When Mozilla’s Innovation group first launched the llamafile project late last year, we were thrilled by the immediate positive response from open source AI developers. It’s become one of Mozilla’s top three most favorited repositories on GitHub, attracting a number of contributors, some excellent PRs, and a growing…
Today we are proud to announce the official release of Vue.js 3.0 "One Piece". This new major version of the framework provides improved performance, smaller bundle sizes, better TypeScript integration, new APIs for tackling large scale use cases, and a solid foundation for long term future iterations of the framework.
