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News
Difflet Engineering Report: Diffusion Inference on AWS Trainium
14+ hour, 32+ min ago (1690+ words) This is the full engineering report behind Difflet, Yotta Labs’ diffusion serving engine for AWS Trainium. For the overview and headline results, start with the Difflet announcement post. The local checkout and the latest mainline history contain different parts of…...
Difflet: Serving Diffusion Models on AWS Trainium
14+ hour, 32+ min ago (1040+ words) Al-Native OS for Efficient ML Orchestration on GPUs. Difflet runs six production image and video diffusion models end to end on AWS Trainium, with up to 4.10x the throughput per dollar of an H100. Six production image and video models, end-to-end, matching…...
What Is an AI Gateway and How Does It Help Manage Model APIs?
1+ week, 4+ day ago (1670+ words) Al-Native OS for Efficient ML Orchestration on GPUs. How an AI Gateway helps manage model APIs by centralizing access, routing, credentials, and multi-model workflows with Yotta Labs AI Gateway. An AI Gateway is a centralized layer between your application and…...
How to Deploy vLLM in Production with Docker (2026)
1+ mon, 1+ week ago (1438+ words) Al-Native OS for Efficient ML Orchestration on GPUs. Run vLLM with the official Docker image and an OpenAI-compatible API, then scale it in production with autoscaling, failover, and multi-GPU serving. vLLM is an inference and serving engine built around PagedAttention,…...
Qwen 3.7-Max: Release Date, Features, Open Source Status, and How to Access (2026)
1+ mon, 4+ week ago (1487+ words) Al-Native OS for Efficient ML Orchestration on GPUs. Everything you need to know about Qwen 3.7-Max in one place. Release date, features, benchmarks, why it is not open source, how to access it, and how it compares to Qwen 3.6 Plus....
What Is a GPU Orchestration OS? A Practical Guide for AI Researchers and Independent Developers
2+ mon, 3+ week ago (973+ words) If you've ever lost a training run to a preempted spot instance, paid AWS prices for a GPU you only needed for four hours, or spent a weekend rewriting deployment scripts because you switched from an H100 to an AMD MI300X — this…...
How to Run Qwen3.6-35B-A3B on a Single GPU (RTX PRO 6000 Guide)
3+ mon, 2+ day ago (794+ words) Al-Native OS for Efficient ML Orchestration on GPUs. Running large language models on a single GPU is still a challenge. In this guide, we walk through how to run Qwen3.6-35B-A3B using DFlash on an RTX PRO 6000, and what this setup reveals…...
How to Build an LLM-as-a-Judge System (SkyRL + GRPO Guide)
3+ mon, 3+ day ago (776+ words) LLM evaluation is the real bottleneck in modern AI. In this guide, learn how to build an LLM-as-a-Judge system using SkyRL and deploy it instantly with Yotta Labs—no complex setup required. This guide shows how to automate LLM evaluation…...
How LLM Inference Actually Works in Production (And Why Most Systems Fail)
3+ mon, 6+ day ago (639+ words) Al-Native OS for Efficient ML Orchestration on GPUs. Most teams think LLM inference is just sending prompts to a model. In reality, production systems deal with batching, latency tradeoffs, GPU bottlenecks, and scaling challenges that break naive setups. This guide…...
Introducing the Yotta AI Gateway: One API for Multiple AI Models
3+ mon, 3+ week ago (526+ words) Al-Native OS for Efficient ML Orchestration on GPUs. A unified, OpenAI-compatible API that lets you access and route across multiple AI models without managing separate integrations. In today’s AI landscape, the biggest challenge isn’t access to models. It’s managing them....