# slai.io

> AI-optimized mirror of slai.io containing 50 pages totalling 57,617 words of clean markdown content, structured data, and semantic HTML. Original source: https://slai.io. Last updated: 2026-08-07T15:30:57.447Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [On-Demand AI Compute | Beam](/content/site-root.html): Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works. (760 words)

## Articles & Blog Posts

- [beam-cloud/blog/fine-tuning-llama3/index.html](/content/beam-cloud/blog/fine-tuning-llama3/index.html) (1,281 words)
- [Best ComfyUI Workflows: Templates, Examples, and Downloads | Beam](/content/beam-cloud/blog/top-comfyui-workflows/index.html): Explore the best ComfyUI workflows for image, video, audio, LoRA, inpainting, upscaling, and ControlNet, with template sources, download tips, and setup guidance. (2,313 words)
- [How to Install ComfyUI: Portable, Desktop, Windows, Mac, and Linux | Beam](/content/beam-cloud/blog/how-to-install-comfyui/index.html): Install ComfyUI on Windows, macOS, or Linux with portable, desktop, and manual setup options, plus system requirements, GPU notes, and common fixes. (2,279 words)
- [How to Use ComfyUI | Beam](/content/beam-cloud/blog/how-to-use-comfyui/index.html): A complete guide on using ComfyUI, ranging from installation instructions to parameters and workflow optimizations.  (2,051 words)
- [Top AWS Lambda Alternatives in 2025 | Beam](/content/beam-cloud/blog/top-aws-lambda-alternatives/index.html): We compare five alternatives to AWS Lambda, focusing on developer-first features, pricing, performance (including cold starts), and GPU support. (1,200 words)
- [Unsloth: A Fine-Tuning Guide for Developers | Beam](/content/beam-cloud/blog/unsloth-fine-tuning/index.html): Fine-tuning Meta LLAMA 3.1B LLM with Unsloth (1,171 words)
- [Best Code Execution Environments for AI Agents in 2026 | Beam](/content/beam-cloud/blog/2026-sandbox-guide/index.html): Compare the five best code execution environments for AI agents in 2026 — Beam, E2B, Modal, CodeSandbox, and Daytona — across isolation model, GPU access, cold-start latency, deployment flexibility, and price. (1,850 words)
- [Petri Nets as an Agent Architecture | Beam](/content/beam-cloud/blog/beam-bots/index.html): We're launching the first agent framework built for concurrency and synchronization.  (818 words)
- [Best E2B Alternatives for AI Code Sandboxes (2026) | Beam](/content/beam-cloud/blog/best-e2b-alternatives/index.html): The best E2B alternatives for AI agent sandboxes and code execution: open-source, self-hostable, GPU-ready picks like Beam and Daytona. (3,011 words)
- [How to Use Docker Prune | Beam](/content/beam-cloud/blog/docker-prune/index.html): Learn to use Docker Prune to remove unused resources from your Docker environment. (592 words)
- [Sandboxes for Reinforcement Learning | Beam](/content/beam-cloud/blog/sandboxes-reinforcement-learning/index.html): Run RL environments as isolated sandboxes: snapshot once, fan out thousands of parallel rollouts, and score verifiable rewards. (1,507 words)
- [Top Heroku Alternatives | Beam](/content/beam-cloud/blog/heroku-alternatives/index.html): Modern PaaS solutions similar to Heroku that may better suit your use case. (811 words)
- [Top 5 AI Hosting Platforms | Beam](/content/beam-cloud/blog/ai-hosting-platforms/index.html): In this article, we'll explore the most popular hosting platforms for your AI applications. (851 words)
- [Deploying LLMs with Streaming Responses  | Beam](/content/beam-cloud/blog/realtime/index.html): Build real-time streaming apps with Beam. (400 words)
- [How to Manage Your GPU Cluster | Beam](/content/beam-cloud/blog/manage-gpu-cluster/index.html): We're releasing a new CLI to manage your GPUs when self-hosting Beta9. (446 words)
- [How We Add GPU Capacity at Beam | Beam](/content/beam-cloud/blog/adding-compute/index.html): Learn how we add GPUs to our cluster using Beta9, our open source compute orchestrator. (385 words)
- [Modal Pricing Explained (2026): Plans, GPU Rates, and Why Serverless Gets Expensive at Scale | Beam](/content/beam-cloud/blog/modal-pricing-explained/index.html): Modal's 2026 pricing, explained: full plan tiers, GPU rates, the multipliers that inflate the bill, and why serverless gets expensive at scale vs Beam. (2,672 words)
- [How to Self-Host a Code Execution Sandbox for AI Agents (2026) | Beam](/content/beam-cloud/blog/how-to-self-host-code-sandbox/index.html): How to self-host a code execution sandbox for AI agents: isolation, orchestration, GPU, and setup — comparing Beam, E2B's infra, Daytona, and Microsandbox. (2,219 words)
- [How to Deploy ComfyUI as an API | Beam](/content/beam-cloud/blog/comfyui-api/index.html): Turn a ComfyUI workflow into a callable HTTP API on serverless GPUs. (1,515 words)
- [Best Stateful Sandboxes for Code Execution in 2026 | Beam](/content/beam-cloud/blog/best-stateful-sandbox-code-execution-2026/index.html): Compare stateful code execution sandboxes for AI agents. Explore isolation, persistence, and GPU support to find the best runtime for your agents. (2,279 words)
- [Serverless GPUs for AI Inference and Training | Beam](/content/beam-cloud/blog/serverless-gpu/index.html): Learn how to use serverless GPUs for fast and affordable AI inference and training, including comparisons between the top providers and strategies to optimize cold boot. (1,364 words)
- [Tinker Model Pricing: What Fine-Tuning Costs in 2026 | Beam](/content/beam-cloud/blog/tinker-model-pricing/index.html): See what fine-tuning costs on Tinker, including worked cost examples and where renting GPUs gets cheaper. (1,877 words)
- [How Lovable and Bolt Work: Architecture of AI App Builders | Beam](/content/beam-cloud/blog/agentic-apps/index.html): Explore the architecture behind AI app builders like Lovable and Bolt, including planning agents, sandboxes, preview servers, code generation, MCP, and deployment. (1,669 words)
- [Serving vLLM for LLM Inference | Beam](/content/beam-cloud/blog/vllm/index.html): We just shipped a new feature that makes it easy to host serverless vLLM apps. (609 words)
- [Best Alternatives to Replicate for AI Inference and Training | Beam](/content/beam-cloud/blog/best-replicate-alternatives/index.html): Engineers at startups often turn to Replicate for its simple API to run AI models, but it’s not the only developer-friendly platform on the market.  (1,082 words)
- [Why We’re Not Using Kubernetes to Scale Our GPU Workloads | Beam](/content/beam-cloud/blog/serverless-autoscaling/index.html): While we initially tried Kubernetes-based autoscaling for our system, we realized that CPU and memory-based autoscaling strategies didn’t take into account the actual behavior of an application.  (1,354 words)
- [What Is a Container, Really? Five Years of GPU Infrastructure | Beam](/content/beam-cloud/blog/what-is-a-container-really/index.html): Five years of GPU infrastructure at Beam — from ECS and Knative cold starts to a custom container runtime, FUSE lazy-loading, and a trustless binary. (2,113 words)
- [Top Daytona.io Alternatives | Beam](/content/beam-cloud/blog/daytona-alternatives/index.html): This guide breaks down the top alternatives to Daytona.io for sandboxed code execution. (941 words)
- [Serverless GPU for Reinforcement Learning | Beam](/content/beam-cloud/blog/serverless-gpu-reinforcement-learning/index.html): Fan out thousands of RL rollouts across serverless GPUs with one .map() call. Snapshot environments, scale to zero between updates, run on your own cloud. (1,926 words)
- [Batch Inference on Serverless GPU | Beam](/content/beam-cloud/blog/batch-inference-serverless-gpu/index.html): Learn how to fan out batch inference across GPUs with one .map() call.  (1,996 words)
- [Best Sandbox Providers for Reinforcement Learning in 2026 | Beam](/content/beam-cloud/blog/best-sandbox-providers-reinforcement-learning-2026/index.html): Compare the best sandbox providers for reinforcement learning in 2026. Evaluate GPU support, parallelism, bring-your-own-cloud, and docker-in-docker for RL rollouts with beam.cloud. (2,113 words)
- [The Top Serverless GPU Providers in 2025, Ranked by Cold Start | Beam](/content/beam-cloud/blog/top-serverless-gpu-providers/index.html): In this article, we'll break down the top serverless GPU providers by cold start times. (918 words)
- [Sandboxed Compute for AI Agents | Beam](/content/beam-cloud/use-cases/ai-agents/index.html): Run agent-generated code in isolated sandboxes that boot in seconds — with filesystem access, exposed ports, snapshots, and per-second billing. (466 words)
- [OCR & Document Processing at Scale | Beam](/content/beam-cloud/use-cases/document-processing/index.html): Fan OCR and document-extraction jobs across managed containers with isolated workloads. Self-host Beam and documents never leave your VPC. (438 words)
- [How Geospy Scaled to 3,000,000 Inference Requests in 1 Month With Beam | Beam](/content/beam-cloud/customers/geospy-case-study/index.html): Geospy uses Beam to scale AI workloads without managing infrastructure. (1,199 words)
- [Computer Vision Model Deployment | Beam](/content/beam-cloud/use-cases/computer-vision/index.html): Serve detection, segmentation, and classification models behind managed APIs. Send images as URLs, base64, or file payloads — Beam scales the GPUs underneath. (512 words)
- [How Gepetto Achieved Faster Cold Starts While Cutting Infrastructure Costs | Beam](/content/beam-cloud/customers/gepetto-case-study/index.html): Gepetto uses Beam to scale AI workloads without managing infrastructure. (671 words)
- [Text-to-Speech & Voice AI Hosting | Beam](/content/beam-cloud/use-cases/text-to-speech/index.html): Serve open TTS models like Parler and Zonos from autoscaling endpoints that return hosted audio URLs. Managed GPUs and per-second billing. (461 words)
- [Deploy Hugging Face Models to Production | Beam](/content/beam-cloud/use-cases/hugging-face/index.html): Go from a Hugging Face model ID to a live, autoscaling API endpoint with one Python file. Managed GPUs, cached weights, and per-second billing. (492 words)
- [How Hooktheory is Infusing Songwriting with AI—Powered by Beam | Beam](/content/beam-cloud/customers/hooktheory-case-study/index.html): Hooktheory uses Beam to scale AI workloads without managing infrastructure. (532 words)
- [RAG & Embedding Model Hosting | Beam](/content/beam-cloud/use-cases/rag/index.html): Host embedding and reranking models on autoscaling endpoints instead of per-token APIs. Managed GPUs, parallel backfills, and per-second billing. (415 words)
- [Magellan AI Analyzes Podcasts and Scales to 600K Ads in 1 Year With Beam | Beam](/content/beam-cloud/customers/magellan-ai-case-study/index.html): Magellan AI uses Beam to scale AI workloads without managing infrastructure. (522 words)
- [Batch Jobs & Data Pipelines on Serverless Compute | Beam](/content/beam-cloud/use-cases/batch-processing/index.html): Fan Python functions out across thousands of containers with .map(), deploy managed task queues, and schedule cron jobs. (576 words)
- [Stable Diffusion & Flux API Hosting | Beam](/content/beam-cloud/use-cases/image-generation/index.html): Host SDXL, Flux, and custom diffusion checkpoints behind an autoscaling API on managed GPUs. (475 words)
- [GPU Model Training from Python | Beam](/content/beam-cloud/use-cases/training/index.html): Start training runs on B200s and H100s with a Python decorator. Per-second billing, persistent checkpoints, background jobs, and zero infrastructure to manage. (577 words)
- [RL Environments & Sandboxes for Agent Training | Beam](/content/beam-cloud/use-cases/rl-environments/index.html): Run RL rollouts in isolated sandboxes that boot in under a second, restore from snapshots, and fan out in parallel — with GPU training functions on the same platform. (415 words)
- [Fine-tune LLMs on Serverless GPUs | Beam](/content/beam-cloud/use-cases/fine-tuning/index.html): Run LoRA and QLoRA fine-tuning jobs on H100s. Per-second billing, persistent volumes for weights, and zero infrastructure to manage. (441 words)
- [LLM Inference & Hosting on Serverless GPUs | Beam](/content/beam-cloud/use-cases/llm-inference/index.html): Serve Llama, Mistral, and other open-source LLMs behind an autoscaling, OpenAI-compatible API. Fast cold starts, per-second billing, and zero infrastructure to manage. (628 words)
- [ComfyUI as an API on Serverless GPUs | Beam](/content/beam-cloud/use-cases/comfyui/index.html): Deploy ComfyUI workflows as autoscaling API endpoints, or host the full ComfyUI interface on managed cloud GPUs. Custom nodes, hosted outputs, per-second billing. (424 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/robots.txt): Crawler directives