---
title: "Models and infrastructureWavect"
canonical: https://wavect.io/blog/clusters/models-infrastructure/
language: en
description: "Model selection, inference economics, local deployment, compression and serving architecture."
image: "https://wavect.io/img/general/bak/open_graph_preview.jpg"
---

Cluster

# Models and infrastructure

Model selection, inference economics, local deployment, compression and serving architecture.

## Start with the cornerstone

- [**Self-Hosting LLMs in the EU: When Open Weights Actually Pay Off**The GPU is the cheap part. Here is the real cost of self-hosting open weights, the tokens/day break-even vs hosted APIs, when data residency forces your hand, and the vLLM production stack.](/blog/self-hosting-llms-eu-cost/)

## Latest in this collection

### [Ox Alpha Free AI Model: Setup, Privacy and Buyer Guide](/blog/ox-alpha-free-ai-model-guide-2026/)

- **Details:** AI & Agents · 23 Aug 2026

Use the 1M-context stealth coding model through OpenCode or OpenRouter. Compare IDs, privacy terms, hidden costs and a safe team evaluation plan.

### [Pika Audio Models API Pricing: Is SFX Really 20x Cheaper?](/blog/pika-audio-models-api-pricing-2026/)

- **Details:** AI & Agents · 21 Aug 2026

Pika lists SFX at $0.0002 per second, plus three more audio models. See the real break-even, API limits, quality gates and production fit before you switch.

### [Thunder Compute's $13M GPU Virtualization Bet: Enterprise Buyer's Guide](/blog/thunder-compute-gpu-virtualization-series-a/)

- **Details:** AI & Agents · 21 Aug 2026

Thunder Compute says GPU pooling can recover stranded capacity. Compare network virtualization with MIG, vGPU and passthrough, then scope a measurable enterprise pilot.

### [AirLLM on 4 GB VRAM: How Layer-Wise Inference Really Works](/blog/airllm-layer-wise-inference-low-vram/)

- **Details:** AI & Agents · 20 Aug 2026

AirLLM can execute models far larger than GPU memory by streaming weights layer by layer. Separate the measured VRAM claim from disk, latency, quantization and production reality.

### [Qwen3.8-27B: Self-Hosted Computer-Use Agents Without Exporting Screenshots](/blog/qwen3-8-27b-self-hosted-computer-use-agents/)

- **Details:** AI & Agents · 18 Aug 2026

An open-weight model now leads desktop-operation benchmarks. What that changes for back-office automation you cannot send to a hosted API.

### [Netflix's vLLM and Triton Stack: 7 Production Lessons](/blog/netflix-vllm-triton-inference-stack/)

- **Details:** AI & Agents · 16 Aug 2026

Netflix chose vLLM for operational fit, then found the real bottlenecks in constrained decoding, deployment, model loading and metrics. Here is what smaller teams should copy, and what they should buy instead.

## Complete article directory

1. [Ox Alpha Free AI Model: Setup, Privacy and Buyer Guide](/blog/ox-alpha-free-ai-model-guide-2026/) 23 Aug 2026
2. [Pika Audio Models API Pricing: Is SFX Really 20x Cheaper?](/blog/pika-audio-models-api-pricing-2026/) 21 Aug 2026
3. [Thunder Compute's $13M GPU Virtualization Bet: Enterprise Buyer's Guide](/blog/thunder-compute-gpu-virtualization-series-a/) 21 Aug 2026
4. [AirLLM on 4 GB VRAM: How Layer-Wise Inference Really Works](/blog/airllm-layer-wise-inference-low-vram/) 20 Aug 2026
5. [Qwen3.8-27B: Self-Hosted Computer-Use Agents Without Exporting Screenshots](/blog/qwen3-8-27b-self-hosted-computer-use-agents/) 18 Aug 2026
6. [Netflix's vLLM and Triton Stack: 7 Production Lessons](/blog/netflix-vllm-triton-inference-stack/) 16 Aug 2026
7. [Transformers.js Browser AI: When Local Inference Belongs in Your Product](/blog/transformers-js-browser-ai-guide/) 15 Aug 2026
8. [How to Self-Host LiteLLM in Production: 2026 Guide](/blog/self-host-litellm-production-2026/) 13 Aug 2026
9. [AI-Ready Company Wiki: Architecture and Build Guide](/blog/ai-ready-company-wiki/) 13 Aug 2026
10. [Does Claude Watermark Text? The 2026 API Answer](/blog/claude-text-watermark-api-2026/) 11 Aug 2026
11. [OpenKB Review: Knowledge Compiler vs RAG](/blog/openkb-review-vs-rag/) 11 Aug 2026
12. [Unsloth Desktop Review: A Private Local AI Workstation?](/blog/unsloth-desktop-local-ai-workstation-review/) 11 Aug 2026
13. [NeMo Switchyard 0.2: Agent Model Routing Without Training?](/blog/nemo-switchyard-model-router/) 11 Aug 2026
14. [Firecrawl AnyDoc Review: 14 Formats to Markdown](/blog/firecrawl-anydoc-review/) 10 Aug 2026
15. [Muse Glimmer 30B: Is Meta's Local Agent Model Production-Ready?](/blog/muse-glimmer-30b-local-agent-guide/) 10 Aug 2026
16. [OmniRoute AI Routing: Setup and Production Checklist](/blog/omniroute-ai-routing-setup/) 9 Aug 2026
17. [Gemini Robotics 2: Whole-Body Control and the Pilot Decision](/blog/gemini-robotics-2-whole-body-control/) 7 Aug 2026
18. [pdf-inspector Review: Route PDFs Before OCR](/blog/pdf-inspector-ocr-routing/) 6 Aug 2026
19. [Local Multimodal AI Coding Assistant: Voice, OCR and Privacy](/blog/local-multimodal-ai-coding-assistant/) 5 Aug 2026
20. [DeepSeek V4 Flash 0731 on One AI PC: What Actually Works?](/blog/deepseek-v4-flash-0731-local-ai-pc/) 3 Aug 2026
21. [Fine-Tune Gemma 4 Free with Unsloth and Colab](/blog/fine-tune-gemma-4-free-unsloth-colab/) 29 Jul 2026
22. [Taalas HC1 Review: Is a Hardwired LLM ASIC Worth It?](/blog/taalas-hc1-llm-asic-review/) 28 Jul 2026
23. [llmfit Guide: Which Local LLM Fits Your Hardware?](/blog/llmfit-local-llm-hardware-guide/) 27 Jul 2026
24. [Miso TTS Self-Hosted vs API: Cost, Latency and VRAM Reality](/blog/miso-tts-self-hosted-vs-api/) 26 Jul 2026
25. [Cut RAG Vector Memory 16x: Is Data-Oblivious Quantization Ready for Production?](/blog/rag-vector-memory-quantization/) 23 Jul 2026
26. [Shared KV Cache Cut LLM Inference Latency 14x, With No New GPUs](/blog/shared-kv-cache-llm-inference-latency/) 23 Jul 2026
27. [Lossless LLM Weight Compression vs 8-bit GGUF: What Is Ready for Production?](/blog/lossless-llm-weight-compression-production/) 22 Jul 2026
28. [Cisco Antares Review: 1B Local AI for Vulnerability Localization](/blog/cisco-antares-local-vulnerability-localization/) 22 Jul 2026
29. [NVIDIA Nemotron 3.5 ASR: Is Free Self-Hosted STT Ready for Voice Agents?](/blog/nvidia-nemotron-3-5-asr-production-review/) 19 Jul 2026
30. [Kimi K3 for EU Companies: API Cost, Data Risk, and a Pilot Plan](/blog/kimi-k3-eu-api-production-review/) 19 Jul 2026
31. [Mesh LLM Review: Can One Large LLM Run Across Multiple Computers?](/blog/mesh-llm-distributed-inference-multiple-computers/) 18 Jul 2026
32. [Bonsai 27B Review: Can a 27B LLM Really Run on a Phone?](/blog/bonsai-27b-phone-local-ai-review/) 16 Jul 2026
33. [Soofi S: Is Germany's Sovereign LLM Ready for Business?](/blog/soofi-s-european-sovereign-llm/) 16 Jul 2026
34. [Colibri Runs GLM-5.2 on Consumer Hardware. Here Is the Catch.](/blog/colibri-glm-5-2-consumer-hardware/) 14 Jul 2026
35. [When Local Models Beat APIs: A Break-Even Calculator for EU Companies](/blog/local-models-vs-apis-break-even-eu-2026/) 8 Jul 2026
36. [LLM Cost Calculator 2026: Cost per Task, Not Cost per Token](/blog/llm-cost-calculator-2026/) 8 Jul 2026
37. [Pxpipe Review: Can Images Cut Claude Code Token Costs 60%?](/blog/text-as-image-token-savings/) 3 Jul 2026
38. [Cheaper Per Token. More Expensive Per Answer.](/blog/cost-per-token-vs-cost-per-task/) 2 Jul 2026
39. [Dario Declared War on Open Source. The Real War Is Over Your AI Bill.](/blog/open-source-ai-war-cost-2026/) 1 Jul 2026
40. [LLM Gateways Compared 2026: LiteLLM vs OpenRouter vs Portkey vs RouteLLM](/blog/llm-gateway-router-comparison-2026/) 27 Jun 2026
41. [Self-Hosting LLMs in the EU: When Open Weights Actually Pay Off](/blog/self-hosting-llms-eu-cost/) 26 Jun 2026
42. [Best Open-Weight LLMs 2026: DeepSeek vs Qwen vs Kimi vs GLM vs Llama](/blog/open-weight-llm-comparison-2026/) 25 Jun 2026
43. [How to Cut LLM Token Costs in 2026](/blog/reduce-llm-token-costs-2026/) 15 Jun 2026
44. [When Is an LLM Eval Worth Building? Cost, ROI, and Trusting the Judge](/blog/llm-evaluation-cost-roi-production/) 1 Jun 2026
45. [RAG vs Fine-Tuning vs Long-Context 2026](/blog/rag-vs-finetune-vs-longcontext-2026/) 26 May 2026
46. [LLM API Costs 2026. Architecture Shift](/blog/llm-api-costs-2026-architecture-shift/) 26 May 2026

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        "name": "Pxpipe Review: Can Images Cut Claude Code Token Costs 60%?",
        "position": 37,
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      {
        "@type": "ListItem",
        "name": "Cheaper Per Token. More Expensive Per Answer.",
        "position": 38,
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        "@type": "ListItem",
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      {
        "@type": "ListItem",
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  "url": "https://wavect.io/blog/clusters/models-infrastructure/"
}
```