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<header class="site-header"><nav class="nav" aria-label="Main navigation"><a class="brand" href="/"><strong>EZOS.<span>Hosting</span></strong><small>Easy Open Source Hosting since 2002</small></a><button class="btn menu-toggle" type="button" data-menu-toggle aria-expanded="false">Menu</button><div class="nav-links"><a href="/managed-local-ai/">Managed Local AI</a><a href="/ai-apps/">AI Apps</a><a href="/gpu-infrastructure/">GPU Infrastructure</a><a href="/open-source-hosting/">Open Source Hosting</a><a href="/domains/">Domains</a><a href="/support/">Support</a></div><div class="nav-actions"><a class="btn" href="/contact-us/#benchmark-intake">Benchmark intake</a><a class="btn btn-primary" href="https://support.ezoshosting.com/clientarea/">Client Login <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></nav></header>
<main id="main"><section class="hero"><div class="hero-grid"><div><h1>Managed Local AI on your own <span class="accent">GPU</span></h1><p class="lead">We deploy and maintain a local AI stack around Ollama so teams can use modern models in their chosen server context without requiring a third-party AI API by default.</p><ul class="hero-bullets"><li>Managed Local AI with <strong>Ollama standard</strong></li><li>Open-source hosting with <strong>CyberPanel</strong></li><li>Domains, support, and direct offer paths</li></ul><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/">Order managed setup <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="/ai-apps/">Compare AI apps <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div><p class="trust">Ollama standard. Open WebUI default. External providers only when you choose them.</p></div><div class="hero-visual" aria-hidden="true"><svg class="circuit" viewBox="0 0 680 360" role="img"><path d="M8 210h130l40-44h114l42-42h102l58-62h160" stroke="#55d22f" stroke-opacity=".38" fill="none"/><path d="M60 80h170l32 30h98l40 44h220" stroke="#67d8ff" stroke-opacity=".24" fill="none"/><path d="M120 304h210l40-36h132l54 42h104" stroke="#f4b82d" stroke-opacity=".24" fill="none"/><g fill="#55d22f" fill-opacity=".45"><circle cx="8" cy="210" r="4"/><circle cx="654" cy="62" r="4"/><circle cx="620" cy="154" r="3"/><circle cx="120" cy="304" r="4"/></g></svg><div class="terminal"><div class="dots"><i></i><i></i><i></i></div><p>$ ezos gate</p><p>◇ GPU driver verify first</p><p>◇ Ollama API smoke test</p><p><span class="ok">✓</span> CyberPanel OK</p><p><span class="ok">✓</span> Backups OK</p><p><span class="ok">✓</span> Support OK</p><p class="success">Your Success is our Success</p></div><div class="gpu-card"><div class="gpu"></div><div class="gpu"></div><div class="gpu"></div></div></div></div><div class="offer-strip"><article class="offer-card green"><h2>Managed Local AI</h2><p>Managed Ollama-based local AI on customer-owned GPU infrastructure with Open WebUI as the default interface.</p><ul><li>Ollama standard</li><li>Open WebUI default</li><li>No third-party AI API required by default</li><li>Managed setup and updates</li></ul><a href="/managed-local-ai/">Explore Local AI →</a></article><article class="offer-card cyan"><h2>AI Apps</h2><p>Private knowledge, team chat, workflow automation, and creative GPU app stacks managed around open-source tools.</p><ul><li>AnythingLLM or LibreChat</li><li>Flowise and n8n options</li><li>ComfyUI for creative GPU workflows</li><li>vLLM only as optional advanced layer</li></ul><a href="/ai-apps/">Compare AI Apps →</a></article><article class="offer-card green"><h2>GPU Infrastructure</h2><p>Right-sized GPU servers for local inference, image workflows, and private automation stacks.</p><ul><li>Dedicated setup</li><li>Storage and backup planning</li><li>Monitoring and maintenance</li><li>Benchmark before performance promises</li></ul><a href="/gpu-infrastructure/">Plan GPU Stack →</a></article><article class="offer-card green"><h2>Open Source Hosting</h2><p>Managed open-source hosting with CyberPanel, domains, SSL, DNS, and human support.</p><ul><li>CyberPanel control panel</li><li>WordPress, Nextcloud, Matomo and more</li><li>No cPanel or CentOS claims</li><li>Built for long-term maintenance</li></ul><a href="https://support.ezoshosting.com/cart/open-source-hosting/">View Hosting Options →</a></article><article class="offer-card cyan"><h2>Domains</h2><p>Domain registration, renewal, transfer guidance, and DNS support for open-source projects and teams.</p><ul><li>Popular TLDs with USD pricing</li><li>Renewal notes shown clearly</li><li>Transfers reviewed by registry rules</li><li>DNS basics included</li></ul><a href="https://support.ezoshosting.com/checkdomain/domains/">Check Domains →</a></article></div></section><section class="light"><div class="wrap"><div class="section-head"><h2>Ollama standard, managed for real use</h2><p>We install, wire, harden, update, and explain the stack. The default path runs models in the selected local system context without requiring a third-party AI API.</p></div><div class="grid grid-3"><article class="card"><span class="meta">Default UI</span><h3>Open WebUI</h3><p>Team-friendly chat interface for Ollama and compatible endpoints.</p></article><article class="card"><span class="meta">Knowledge</span><h3>AnythingLLM</h3><p>Document workspaces and private knowledge flows where that is the right fit.</p></article><article class="card"><span class="meta">Advanced</span><h3>vLLM optional</h3><p>Only for advanced, development, or performance work after benchmarks on the target model and GPU.</p></article></div></div></section><section id="local-ai-api-bridge" class="dark-band api-bridge-offer"><div class="wrap"><div class="section-head"><h2>Private AI app bridge and access-control benchmark</h2><p>Many teams do not need a new chatbot first; they need a local endpoint and controlled access that existing tools can call. We benchmark the bridge before exposing it to users.</p></div><div class="grid grid-3"><article class="card"><span class="meta">API bridge</span><h3>OpenAI-compatible local endpoint</h3><p>Ollama can expose OpenAI-compatible chat and responses paths, so internal scripts and app prototypes can be tested against a local model endpoint after readiness checks.</p></article><article class="card"><span class="meta">Team access</span><h3>Open WebUI roles and SSO scope</h3><p>For team deployments, we scope RBAC, SSO/OIDC, API keys, and model or knowledge-base permissions before anyone relies on the system.</p></article><article class="card"><span class="meta">Serving trial</span><h3>Quantized vLLM only after fit checks</h3><p>AWQ, GPTQ, GGUF, and FP8 paths can be relevant on Ada hardware, but they remain an advanced benchmark track, not the default production promise.</p></article></div><p class="api-bridge-note">Offer rule: sell integration design and benchmark evidence first; live production traffic waits for GPU driver visibility, Ollama health, access-control review, and a target-workflow smoke test.</p><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/Business-Secure/&step=0">Scope API bridge benchmark <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="/support/">Ask before ordering <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></div></section><section id="local-agent-safety-benchmark" class="dark-band local-agent-safety"><div class="wrap"><div class="section-head"><h2>Private local agent safety benchmark</h2><p>Local reasoning models make private agents attractive, but tool use changes the risk profile. Business Secure treats agents as a controlled workflow benchmark, not a generic autonomous assistant promise.</p></div><div class="grid grid-4"><article class="card"><span class="meta">Reasoning fit</span><h3>gpt-oss 20B as a benchmark candidate</h3><p>OpenAI positions gpt-oss models for reasoning and tool-use workflows, while Ollama lists the 20B path around 14 GB with a 128K context window. On this server class, that remains a measured Business Secure trial.</p><a class="text-link" href="https://huggingface.co/openai/gpt-oss-20b">OpenAI gpt-oss-20b model card →</a><a class="text-link" href="https://ollama.com/library/gpt-oss">Ollama gpt-oss →</a></article><article class="card"><span class="meta">Guardrail fit</span><h3>gpt-oss-safeguard 20B policy benchmark</h3><p>OpenAI describes gpt-oss-safeguard as open safety reasoning models for custom safety policies. Treat the 20B model as a measured policy-classification benchmark for local agent workflows, not an automatic moderation guarantee.</p><a class="text-link" href="https://openai.com/index/introducing-gpt-oss-safeguard">OpenAI safeguard announcement →</a><a class="text-link" href="https://huggingface.co/openai/gpt-oss-safeguard-20b">Hugging Face safeguard-20b →</a></article><article class="card"><span class="meta">Tool boundary</span><h3>Tools are treated as privileged access</h3><p>Open WebUI documents that tool access can execute arbitrary Python code. We scope tool permissions, API keys, and provider credentials before any agent workflow touches customer data or business systems.</p><a class="text-link" href="https://docs.openwebui.com/features/authentication-access/rbac/permissions/">Open WebUI permissions →</a></article><article class="card"><span class="meta">Proof</span><h3>Fixed-task audit before rollout</h3><p>The benchmark uses a fixed task set, allowed tools, blocked tools, sample data, logging expectations, and rollback notes. Production use waits for GPU/Ollama health and a repeatable target-workflow smoke test.</p></article></div><p class="model-fit-note">Sales rule: sell private agent readiness, permission design, and benchmark evidence first. Do not promise autonomous production agents until runtime health, access boundaries, and task-level failure behavior are documented.</p><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/Business-Secure/&step=0">Scope agent safety benchmark <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="/security-data-sovereignty/">Review data controls <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></div></section><section class="dark-band"><div class="wrap"><div class="section-head"><h2>Readiness first, then model fit</h2><p>Modern local AI changes quickly. We turn that uncertainty into a short, practical readiness path before you commit to a larger rollout.</p></div><div class="grid grid-3"><article class="card"><span class="meta">Step 1</span><h3>Runtime check</h3><p>We verify GPU drivers, CUDA visibility, Ollama or container service health, storage, backups, and secure access before model work starts.</p></article><article class="card"><span class="meta">Step 2</span><h3>20 GB model shortlist</h3><p>For RTX 4000 Ada class systems, we shortlist realistic small-to-medium models such as Qwen, Gemma 4, or DeepSeek distill variants and document tradeoffs.</p></article><article class="card"><span class="meta">Step 3</span><h3>Benchmark report</h3><p>Performance claims are made after testing the target model, quantization, context length, and user workflow. If vLLM is useful, it stays an optional advanced layer.</p></article></div><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/">Start managed readiness check <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="/gpu-infrastructure/">Plan GPU infrastructure <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></div></section><section id="model-fit-current-20260531" class="dark-band model-fit-current"><div class="wrap"><div class="section-head"><h2>Current RTX 4000 Ada model-fit shortlist</h2><p>Checked against current source signals on 2026-06-02. These are benchmark candidates for 20 GB systems, not guaranteed live-throughput promises.</p></div><div class="grid grid-4"><article class="card model-fit-card"><span class="meta">Team RAG</span><h3>Qwen3 Embedding + Reranker</h3><p>Qwen3-Embedding and Qwen3-Reranker 0.6B/4B/8B cover multilingual retrieval, code search, and source ranking. Test corpus quality, storage, latency, and answer citations before rollout.</p><a class="text-link" href="https://qwenlm.github.io/blog/qwen3-embedding/">Qwen3 Embedding announcement →</a><a class="text-link" href="https://huggingface.co/Qwen/Qwen3-Embedding-4B">Qwen3-Embedding-4B card →</a></article><article class="card model-fit-card"><span class="meta">Documents</span><h3>Qwen3-VL + Docling baseline</h3><p>Qwen3-VL 8B is a current OCR and document-structure candidate; Docling/OCR gives a deterministic parsing baseline for PDFs, tables, reading order, and field-level checks.</p><a class="text-link" href="https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct">Qwen3-VL-8B model card →</a></article><article class="card model-fit-card"><span class="meta">Visual RAG</span><h3>Qwen3-VL Embedding + Reranker trial</h3><p>Qwen3-VL-Embedding-8B and Qwen3-VL-Reranker-8B are current multimodal retrieval candidates for text, images, screenshots, videos, and mixed documents. On 20 GB systems, scope them as a measured visual-RAG benchmark with corpus size, vector storage, latency, and fallback limits.</p><a class="text-link" href="https://huggingface.co/Qwen/Qwen3-VL-Embedding-8B">Qwen3-VL-Embedding-8B card →</a><a class="text-link" href="https://huggingface.co/Qwen/Qwen3-VL-Reranker-8B">Qwen3-VL-Reranker-8B card →</a></article><article class="card model-fit-card"><span class="meta">Code</span><h3>Qwen3-Coder 30B benchmark</h3><p>Ollama lists the 30B path around 19 GB with 256K context, so on a 20 GB GPU it is benchmark-only with strict context, concurrency, and fallback limits.</p><a class="text-link" href="https://ollama.com/library/qwen3-coder">Ollama Qwen3-Coder listing →</a></article><article class="card model-fit-card"><span class="meta">Assistant</span><h3>Gemma 4 E4B/26B trial</h3><p>Gemma 4 E4B is the low-memory assistant and multimodal candidate. Gemma 4 26B and 31B are benchmark-only on 20 GB because Ollama lists 18 GB and 20 GB footprints; concurrency, context, and MTP latency gains stay gated by local smoke tests.</p><a class="text-link" href="https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/">Google Gemma 4 announcement →</a><a class="text-link" href="https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/">Gemma 4 MTP drafters →</a></article><article class="card model-fit-card"><span class="meta">Reasoning</span><h3>gpt-oss 20B private reasoning benchmark</h3><p>OpenAI positions gpt-oss-20b for local and specialized reasoning use, and Ollama lists the 20B path around 14 GB with 128K context. Treat it as a strong Business Secure benchmark candidate with strict context, tool-use, safety, and latency checks before rollout.</p><a class="text-link" href="https://huggingface.co/openai/gpt-oss-20b">OpenAI gpt-oss-20b card →</a><a class="text-link" href="https://cdn.openai.com/pdf/419b6906-9da6-406c-a19d-1bb078ac7637/oai_gpt-oss_model_card.pdf">OpenAI model card PDF →</a></article></div><p class="model-fit-note">Operational rule: publish no live local-inference claim until the driver stack, Ollama health, and a target-model smoke test pass on the actual server. Current public offers sell benchmark evidence, setup, and managed operating discipline first.</p><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/Business-Secure/&step=0">Scope Business Secure benchmark <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="https://support.ezoshosting.com/cart/managed-local-ai/Team-RAG/&step=0">Start Team RAG benchmark <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></div></section><section id="local-ai-offer-tracks" class="dark-band offer-tracks"><div class="wrap"><div class="section-head"><h2>Four benchmarkable local-AI offer tracks</h2><p>These are practical packages for the RTX 4000 Ada 20 GB class. Each one starts with a measured smoke test before any production performance claim is made.</p></div><div class="grid grid-4 offer-track-grid"><article class="card offer-track-card"><span class="meta">Team knowledge</span><h3>Private RAG with sources</h3><p>For internal documents, support archives, policies, and project knowledge where every useful answer should point back to a source.</p><ul><li>Open WebUI or lightweight team UI</li><li>Qwen3 or Gemma 4 chat candidate</li><li>EmbeddingGemma or Qwen embedding trial</li></ul><p class="track-proof"><strong>Smoke test:</strong> ingest a representative corpus, ask fixed benchmark questions, require cited answers, and record VRAM, latency, and miss behavior.</p><a class="text-link" href="https://support.ezoshosting.com/cart/managed-local-ai/Team-RAG/&step=0">Start Team RAG benchmark →</a></article><article class="card offer-track-card"><span class="meta">Documents</span><h3>Local PDF and image extraction</h3><p>For invoices, forms, screenshots, and operational documents that need local extraction support without sending files to a cloud AI API by default.</p><ul><li>Qwen3-VL/Qwen2.5-VL benchmark</li><li>Docling/OCR fallback for hard scans</li><li>Field-level error notes</li></ul><p class="track-proof"><strong>Smoke test:</strong> run real sample pages against expected fields, measure false positives, unsupported layouts, throughput, and VRAM peak.</p><a class="text-link" href="/blog/private-document-intake-benchmark/">Read document intake benchmark →</a><a class="text-link" href="https://support.ezoshosting.com/cart/managed-local-ai/Business-Secure/&step=0">Request document workflow trial →</a></article><article class="card offer-track-card"><span class="meta">Visual search</span><h3>Visual RAG and evidence search</h3><p>For teams that need to retrieve answers from screenshots, diagrams, scanned pages, product images, or short video captures with evidence links instead of plain text-only RAG.</p><ul><li>Qwen3-VL-Embedding 8B recall trial</li><li>Qwen3-VL-Reranker 8B ranking trial</li><li>Source thumbnails and miss analysis</li></ul><p class="track-proof"><strong>Smoke test:</strong> index a small mixed-media corpus, ask fixed visual-search questions, record top-k misses, reranker gains, storage size, VRAM, and latency before rollout.</p><a class="text-link" href="https://support.ezoshosting.com/cart/managed-local-ai/Team-RAG/&step=0">Start visual RAG benchmark →</a></article><article class="card offer-track-card"><span class="meta">Audio</span><h3>Local transcription and meeting notes</h3><p>For interviews, internal meetings, and support recordings where private audio handling and predictable operations matter more than a generic SaaS workflow.</p><ul><li>Whisper or faster-whisper benchmark</li><li>English and German sample set</li><li>Optional local summary pass</li></ul><p class="track-proof"><strong>Smoke test:</strong> transcribe representative 5 to 30 minute files, record runtime factor, language quality, segmentation limits, and GPU use.</p><a class="text-link" href="https://support.ezoshosting.com/cart/managed-local-ai/Business-Secure/&step=0">Scope transcription benchmark →</a></article></div><p class="offer-track-note">Positioning rule: these tracks are sold as benchmarked setup and managed operations. Live local-inference claims wait for driver visibility, Ollama or serving health, and a target-workflow smoke test on the actual host.</p></div></section><section id="rag-retrieval-quality-audit" class="dark-band rag-retrieval-audit"><div class="wrap"><div class="section-head"><h2>RAG Retrieval Quality Audit</h2><p>A smaller paid first step for teams that already know they need private knowledge search, but do not yet know whether their documents, questions, and permissions are ready for a managed monthly rollout.</p></div><div class="grid grid-3"><article class="card"><span class="meta">Scope</span><h3>Representative corpus first</h3><p>We start with a limited set of real documents, screenshots, policies, tickets, or manuals and turn them into a fixed retrieval benchmark instead of ingesting everything blindly.</p></article><article class="card"><span class="meta">Models</span><h3>Qwen3 small-to-medium retrieval path</h3><p>Qwen3-Embedding 0.6B/4B and Qwen3-Reranker 0.6B/4B are the default audit candidates. The 8B path stays optional when corpus size, latency, and the 20 GB VRAM budget justify it.</p></article><article class="card"><span class="meta">Proof</span><h3>Answer quality before rollout</h3><p>The result is a short report with top-k misses, citation quality, reranker gains, storage notes, privacy boundaries, and a clear decision: fix sources, run a pilot, or move to Team RAG.</p></article></div><p class="offer-track-note">Commercial rule: this audit sells retrieval evidence and rollout clarity. It does not claim production local inference until the GPU, Ollama, selected models, and the target workflow pass smoke tests on the actual server.</p><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/Team-RAG/&step=0">Start retrieval audit <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="https://support.ezoshosting.com/knowledgebase/">Read RAG FAQs <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></div></section><section class="dark-band plan-bridge"><div class="wrap"><div class="section-head"><h2>Plans that map to real operating work</h2><p>Use the public page to choose the right starting point, then confirm the exact setup, renewal terms, and any benchmark notes in the HostBill checkout.</p></div><div class="plan-grid"><article class="plan-card"><span class="meta">BYO server</span><h3>BYO Server Management</h3><p class="plan-price">from $299.18<span>/mo</span></p><p>For teams that already have a suitable GPU server or rented instance and need managed Ollama, Open WebUI, updates, and monitoring.</p><ul><li>Driver and Ollama readiness check</li><li>Open WebUI installation</li><li>Hosting costs paid directly by you</li></ul></article><article class="plan-card featured"><span class="meta">Managed stack</span><h3>Local AI Managed</h3><p class="plan-price">from $699.42<span>/mo</span></p><p>For private local model hosting with a managed operating layer and no third-party AI API required by default.</p><ul><li>20 GB model-fit shortlist</li><li>Benchmark report before promises</li><li>Managed updates, monitoring, backups</li></ul></article><article class="plan-card"><span class="meta">Team knowledge</span><h3>Team RAG</h3><p class="plan-price">from $999.60<span>/mo</span></p><p>For teams that need document-assisted local AI, curated embeddings, user roles, and clearer knowledge workflows.</p><ul><li>Knowledge/RAG setup</li><li>Embedding and model guidance</li><li>Prioritized support</li></ul></article><article class="plan-card"><span class="meta">Controlled rollout</span><h3>Business Secure</h3><p class="plan-price">from $1,499.90<span>/mo</span></p><p>For production business use where security, audit preparation, update windows, and support scope matter.</p><ul><li>Security hardening</li><li>OIDC/SSO preparation</li><li>Monthly review and change windows</li></ul></article></div><p class="plan-note">Current runtime gate: GPU driver visibility and Ollama service health are verified before live inference claims. RTX 4000 Ada class systems are treated as small-to-medium model hosts, not universal frontier-model servers.</p><div class="cta-row"><a class="btn btn-primary" href="https://support.ezoshosting.com/cart/managed-local-ai/">Compare plans in checkout <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a><a class="btn" href="/gpu-infrastructure/">Review GPU fit <svg aria-hidden="true" viewBox="0 0 24 24" fill="none"><path d="M5 12h14M13 5l7 7-7 7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg></a></div></div></section>
<section id="quick-intake" class="dark-band intake-section"><div class="wrap"><div class="section-head"><h2>Not ready for checkout? Ask first.</h2></div><form class="intake-form" method="post" action="/api/lead.php"><label>Name<input name="name" required minlength="2" maxlength="100"></label><label>Email<input type="email" name="email" required maxlength="200"></label><label>Your question<textarea name="message" rows="3" required minlength="10" maxlength="5000"></textarea></label><input type="hidden" name="topic" value="managed-local-ai"><input type="hidden" name="source" value="managed-local-ai-page"><input type="hidden" name="ts" value=""><label class="hp-field" aria-hidden="true">Website<input type="text" name="website" tabindex="-1" autocomplete="off"></label><button class="btn btn-primary" type="submit">Send request</button><p class="form-hint">Goes to sales@ezoshosting.com. Reply by email.</p></form></div></section>
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