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infrastructure#llm📝 BlogAnalyzed: Jan 16, 2026 17:02

vLLM-MLX: Blazing Fast LLM Inference on Apple Silicon!

Published:Jan 16, 2026 16:54
1 min read
r/deeplearning

Analysis

Get ready for lightning-fast LLM inference on your Mac! vLLM-MLX harnesses Apple's MLX framework for native GPU acceleration, offering a significant speed boost. This open-source project is a game-changer for developers and researchers, promising a seamless experience and impressive performance.
Reference

“Llama-3.2-1B-4bit → 464 tok/s”

Permalinkr/deeplearning
Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:07

Building a Domestic LLM Chat App with Sakura AI × Streamlit: Constructing a Safe and High-Speed Dialogue UI with GPT-OSS 120B

Published:Nov 29, 2025 08:35
1 min read
Zenn GPT

Analysis

The article outlines the creation of a Japanese LLM chat application using Sakura AI (GPT-OSS 120B) and Streamlit. It focuses on practical aspects like API usage, token management, UI implementation, and conversation memory. The use of OpenAI-compatible APIs and the availability of free resources are also highlighted. The focus is on building a minimal yet powerful LLM application.
Reference

“The article mentions the author's background in multimodal AI research and their goal to build a 'minimal yet powerful LLM application'.”

PermalinkZenn GPT
Technology#AI Models/Multimedia Generation📝 BlogAnalyzed: Jan 3, 2026 06:36

Together AI Expands Multimedia Generation Capabilities

Published:Oct 21, 2025 00:00
1 min read
Together AI

Analysis

The article announces Together AI's expansion into multimedia generation by adding over 40 image and video models, including notable ones like Sora 2 and Veo 3. This move aims to facilitate the development of end-to-end multimodal applications using OpenAI-compatible APIs and transparent pricing. The focus is on providing a comprehensive platform for AI-driven content creation.
Reference

“Together AI adds 40+ image & video models, including Sora 2 and Veo 3, to build end-to-end multimodal apps with unified OpenAI-compatible APIs and transparent pricing.”

PermalinkTogether AI
Technology#AI Development Platform👥 CommunityAnalyzed: Jan 3, 2026 16:26

Dedalus Labs: Vercel for Agents

Published:Aug 28, 2025 16:22
1 min read
Hacker News

Analysis

Dedalus Labs offers a cloud platform and SDK to simplify the development of agentic AI applications. It aims to streamline the process of connecting LLMs to various tools, eliminating the need for complex configurations and deployments. The platform focuses on providing a single API endpoint and compatibility with OpenAI SDKs, reducing setup time significantly.
Reference

“Dedalus simplifies this to just one API endpoint, so what used to take 2 weeks of setup can take 5 minutes.”

PermalinkHacker News
Software Development#LLM Benchmarking👥 CommunityAnalyzed: Jan 3, 2026 16:27

Tool to Benchmark LLM APIs

Published:Jun 29, 2025 15:33
1 min read
Hacker News

Analysis

This Hacker News post introduces an open-source tool for benchmarking Large Language Model (LLM) APIs. It focuses on measuring first-token latency and output speed across various providers, including OpenAI, Claude, and self-hosted models. The tool aims to provide a simple, visual, and reproducible way to evaluate performance, particularly for third-party proxy services. The post highlights the tool's support for different API types, ease of configuration, and self-hosting capabilities. The author encourages feedback and contributions.
Reference

“The tool measures first-token latency and output speed. It supports OpenAI-compatible APIs, Claude, and local endpoints. The author is interested in feedback, PRs, and test reports.”

PermalinkHacker News
Software#AI Infrastructure👥 CommunityAnalyzed: Jan 3, 2026 16:54

Blast – Fast, multi-threaded serving engine for web browsing AI agents

Published:May 2, 2025 17:42
1 min read
Hacker News

Analysis

BLAST is a promising project aiming to improve the performance and cost-effectiveness of web-browsing AI agents. The focus on parallelism, caching, and budgeting is crucial for achieving low latency and managing expenses. The OpenAI-compatible API is a smart move for wider adoption. The open-source nature and MIT license are also positive aspects. The project's goal of achieving Google search-level latencies is ambitious but indicates a strong vision.
Reference

“The goal with BLAST is to ultimately achieve google search level latencies for tasks that currently require a lot of typing and clicking around inside a browser.”

PermalinkHacker News
Software#AI Inference👥 CommunityAnalyzed: Jan 3, 2026 16:17

Nitro: A fast, lightweight inference server with OpenAI-Compatible API

Published:Jan 6, 2024 01:50
1 min read
Hacker News

Analysis

The article highlights a new inference server, Nitro, emphasizing its speed, lightweight nature, and compatibility with the OpenAI API. This suggests a focus on efficiency and ease of integration for developers working with large language models. The mention of OpenAI compatibility is a key selling point, as it allows for seamless integration with existing OpenAI-based applications.
Reference

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PermalinkHacker News