{% extends "main.html" %} {% block tabs %} {{ super() }} {% set lang = config.theme.language | default("en") %} {% set t = { "hero_title": { "en": "Which LLM? Which engine?
Which combo wins on your Mac?", "fr": "Quel LLM ? Quel moteur ?
Quelle combo gagne sur votre Mac ?", "de": "Welches LLM? Welche Engine?
Welche Kombi gewinnt auf Ihrem Mac?", "es": "¿Cuál LLM? ¿Cuál motor?
¿Qué combo gana en tu Mac?", "it": "Quale LLM? Quale motore?
Quale combo vince sul tuo Mac?", "pt": "Qual LLM? Qual motor?
Qual combo vence no seu Mac?" }, "hero_tagline": { "en": "Benchmark to choose. Dashboard to monitor. History to spot problems.", "fr": "Benchmarker pour choisir. Dashboard pour monitorer. Historique pour repérer les problèmes.", "de": "Benchmarken zum Auswählen. Dashboard zum Überwachen. Verlauf zum Erkennen von Problemen.", "es": "Benchmark para elegir. Dashboard para monitorear. Historial para detectar problemas.", "it": "Benchmark per scegliere. Dashboard per monitorare. Storico per individuare i problemi.", "pt": "Benchmark para escolher. Dashboard para monitorar. Histórico para detectar problemas." }, "cta_start": { "en": "Get Started", "fr": "Démarrer", "de": "Loslegen", "es": "Empezar", "it": "Inizia", "pt": "Começar" }, "cta_github": { "en": "View on GitHub", "fr": "Voir sur GitHub", "de": "Auf GitHub ansehen", "es": "Ver en GitHub", "it": "Vedi su GitHub", "pt": "Ver no GitHub" }, "pain_title": { "en": "The Local LLM Problem", "fr": "Le problème des LLM locaux", "de": "Das Problem lokaler LLMs", "es": "El problema de los LLM locales", "it": "Il problema dei LLM locali", "pt": "O problema dos LLMs locais" }, "pain_subtitle": { "en": "Sound familiar?", "fr": "Ça vous dit quelque chose ?", "de": "Kommt Ihnen das bekannt vor?", "es": "¿Te suena?", "it": "Ti suona familiare?", "pt": "Parece familiar?" }, "pain1_title": { "en": "Fragmented", "fr": "Fragmenté", "de": "Fragmentiert", "es": "Fragmentado", "it": "Frammentato", "pt": "Fragmentado" }, "pain1_desc": { "en": "Ollama, LM Studio, mlx-lm — each with its own CLI, formats, and metrics. No common ground.", "fr": "Ollama, LM Studio, mlx-lm — chacun avec son CLI, ses formats et ses métriques. Aucun terrain commun.", "de": "Ollama, LM Studio, mlx-lm — jede mit eigenem CLI, Formaten und Metriken. Kein gemeinsamer Nenner.", "es": "Ollama, LM Studio, mlx-lm — cada uno con su CLI, formatos y métricas. Sin terreno común.", "it": "Ollama, LM Studio, mlx-lm — ognuno con il proprio CLI, formati e metriche. Nessun terreno comune.", "pt": "Ollama, LM Studio, mlx-lm — cada um com seu CLI, formatos e métricas. Nenhum terreno comum." }, "pain2_title": { "en": "Blind", "fr": "À l'aveugle", "de": "Blind", "es": "A ciegas", "it": "Alla cieca", "pt": "Às cegas" }, "pain2_desc": { "en": "No real-time VRAM monitoring, no power tracking, no thermal alerts. You're flying blind.", "fr": "Pas de monitoring VRAM temps réel, pas de suivi de puissance, pas d'alertes thermiques. Vous volez à l'aveugle.", "de": "Kein Echtzeit-VRAM-Monitoring, kein Stromverbrauch-Tracking, keine Thermal-Warnungen. Sie fliegen blind.", "es": "Sin monitoreo VRAM en tiempo real, sin seguimiento de consumo, sin alertas térmicas. Vuelas a ciegas.", "it": "Nessun monitoraggio VRAM in tempo reale, nessun tracking energetico, nessun allarme termico. Voli alla cieca.", "pt": "Sem monitoramento VRAM em tempo real, sem rastreamento de energia, sem alertas térmicos. Você voa às cegas." }, "pain3_title": { "en": "Manual", "fr": "Manuel", "de": "Manuell", "es": "Manual", "it": "Manuale", "pt": "Manual" }, "pain3_desc": { "en": "Benchmarking means curl scripts, copy-pasting numbers, and comparing in spreadsheets.", "fr": "Benchmarker = scripts curl, copier-coller des chiffres, comparer dans des tableurs.", "de": "Benchmarking bedeutet curl-Skripte, Zahlen kopieren und in Tabellen vergleichen.", "es": "Benchmarking significa scripts curl, copiar números y comparar en hojas de cálculo.", "it": "Benchmark significa script curl, copiare numeri e confrontare nei fogli di calcolo.", "pt": "Benchmark significa scripts curl, copiar números e comparar em planilhas." }, "feat_title": { "en": "Built for Apple Silicon Power Users", "fr": "Conçu pour les power users Apple Silicon", "de": "Entwickelt für Apple Silicon Power User", "es": "Construido para power users de Apple Silicon", "it": "Progettato per power user Apple Silicon", "pt": "Feito para power users Apple Silicon" }, "feat_subtitle": { "en": "Everything you need to benchmark, monitor, and optimize local inference.", "fr": "Tout ce qu'il faut pour benchmarker, monitorer et optimiser l'inférence locale.", "de": "Alles was Sie brauchen, um lokale Inferenz zu benchmarken, überwachen und optimieren.", "es": "Todo lo que necesitas para benchmark, monitoreo y optimización de inferencia local.", "it": "Tutto ciò che serve per benchmark, monitoraggio e ottimizzazione dell'inferenza locale.", "pt": "Tudo que você precisa para benchmark, monitoramento e otimização de inferência local." }, "feat1_t": {"en": "Head-to-Head Benchmarks", "fr": "Benchmarks face-à-face", "de": "Direkte Vergleichs-Benchmarks", "es": "Benchmarks cara a cara", "it": "Benchmark testa a testa", "pt": "Benchmarks frente a frente"}, "feat1_d": { "en": "Same model on Ollama vs LM Studio vs mlx-lm. One command, real numbers. No vibes.", "fr": "Même modèle sur Ollama vs LM Studio vs mlx-lm. Une commande, des vrais chiffres.", "de": "Gleiches Modell auf Ollama vs LM Studio vs mlx-lm. Ein Befehl, echte Zahlen.", "es": "Mismo modelo en Ollama vs LM Studio vs mlx-lm. Un comando, números reales.", "it": "Stesso modello su Ollama vs LM Studio vs mlx-lm. Un comando, numeri reali.", "pt": "Mesmo modelo no Ollama vs LM Studio vs mlx-lm. Um comando, números reais." }, "feat2_t": {"en": "Energy Efficiency", "fr": "Efficacité énergétique", "de": "Energieeffizienz", "es": "Eficiencia energética", "it": "Efficienza energetica", "pt": "Eficiência energética"}, "feat2_d": { "en": "Measure GPU power during inference. Know your tok/s per watt — nobody else does this.", "fr": "Mesurez la puissance GPU pendant l'inférence. Connaissez vos tok/s par watt — personne d'autre ne le fait.", "de": "GPU-Leistung während der Inferenz messen. Kennen Sie Ihre tok/s pro Watt — das macht sonst niemand.", "es": "Mide el consumo GPU durante la inferencia. Conoce tus tok/s por vatio — nadie más lo hace.", "it": "Misura la potenza GPU durante l'inferenza. Conosci i tuoi tok/s per watt — nessun altro lo fa.", "pt": "Meça a potência da GPU durante a inferência. Conheça seus tok/s por watt — ninguém mais faz isso." }, "feat3_t": {"en": "5 Engines, One CLI", "fr": "5 moteurs, un seul CLI", "de": "5 Engines, ein CLI", "es": "5 motores, un CLI", "it": "5 motori, un CLI", "pt": "5 motores, um CLI"}, "feat3_d": { "en": "Ollama, LM Studio, mlx-lm, llama.cpp, vllm-mlx. Auto-detected, auto-configured.", "fr": "Ollama, LM Studio, mlx-lm, llama.cpp, vllm-mlx. Détection et configuration automatiques.", "de": "Ollama, LM Studio, mlx-lm, llama.cpp, vllm-mlx. Automatisch erkannt und konfiguriert.", "es": "Ollama, LM Studio, mlx-lm, llama.cpp, vllm-mlx. Detección y configuración automática.", "it": "Ollama, LM Studio, mlx-lm, llama.cpp, vllm-mlx. Rilevamento e configurazione automatici.", "pt": "Ollama, LM Studio, mlx-lm, llama.cpp, vllm-mlx. Detecção e configuração automáticas." }, "feat4_t": {"en": "Zero Dependencies", "fr": "Zéro dépendance", "de": "Keine Abhängigkeiten", "es": "Sin dependencias", "it": "Zero dipendenze", "pt": "Zero dependências"}, "feat4_d": { "en": "stdlib Python only. No requests, no psutil, no rich. Installs in seconds.", "fr": "Stdlib Python uniquement. Pas de requests, pas de psutil, pas de rich. Installation en secondes.", "de": "Nur Python-Standardbibliothek. Kein requests, kein psutil, kein rich. Installation in Sekunden.", "es": "Solo stdlib Python. Sin requests, sin psutil, sin rich. Se instala en segundos.", "it": "Solo stdlib Python. Nessun requests, nessun psutil, nessun rich. Si installa in secondi.", "pt": "Apenas stdlib Python. Sem requests, sem psutil, sem rich. Instala em segundos." }, "feat5_t": {"en": "Thermal Intelligence", "fr": "Intelligence thermique", "de": "Thermische Intelligenz", "es": "Inteligencia térmica", "it": "Intelligenza termica", "pt": "Inteligência térmica"}, "feat5_d": { "en": "Detects throttling during benchmarks. Alerts when your Mac overheats mid-inference.", "fr": "Détecte le throttling pendant les benchmarks. Alerte quand votre Mac surchauffe en pleine inférence.", "de": "Erkennt Throttling während Benchmarks. Warnt, wenn Ihr Mac während der Inferenz überhitzt.", "es": "Detecta throttling durante benchmarks. Alerta cuando tu Mac se sobrecalienta durante la inferencia.", "it": "Rileva il throttling durante i benchmark. Avvisa quando il Mac si surriscalda durante l'inferenza.", "pt": "Detecta throttling durante benchmarks. Alerta quando seu Mac superaquece durante a inferência." }, "feat6_t": {"en": "Regression Detection", "fr": "Détection de régression", "de": "Regressionserkennung", "es": "Detección de regresiones", "it": "Rilevamento regressioni", "pt": "Detecção de regressões"}, "feat6_d": { "en": "Auto-detects performance drops after OS or engine updates. SQLite history with 90-day retention.", "fr": "Détecte les baisses de performances après mise à jour OS ou moteur. Historique SQLite avec rétention 90 jours.", "de": "Erkennt Leistungseinbrüche nach OS- oder Engine-Updates automatisch. SQLite-Verlauf mit 90 Tagen Aufbewahrung.", "es": "Detecta caídas de rendimiento tras actualizaciones de OS o motor. Historial SQLite con retención de 90 días.", "it": "Rileva automaticamente cali di prestazioni dopo aggiornamenti OS o motore. Storico SQLite con ritenzione 90 giorni.", "pt": "Detecta quedas de desempenho após atualizações de OS ou motor. Histórico SQLite com retenção de 90 dias." }, "feat7_t": {"en": "REST API", "fr": "API REST", "de": "REST-API", "es": "API REST", "it": "API REST", "pt": "API REST"}, "feat7_d": { "en": "Full JSON API for automation. /api/snapshot, /api/status, /api/metrics — integrate with any stack.", "fr": "API JSON complète pour l'automatisation. /api/snapshot, /api/status, /api/metrics — intégration avec n'importe quel stack.", "de": "Vollständige JSON-API für Automatisierung. /api/snapshot, /api/status, /api/metrics — Integration mit jedem Stack.", "es": "API JSON completa para automatización. /api/snapshot, /api/status, /api/metrics — integración con cualquier stack.", "it": "API JSON completa per l'automazione. /api/snapshot, /api/status, /api/metrics — integrazione con qualsiasi stack.", "pt": "API JSON completa para automação. /api/snapshot, /api/status, /api/metrics — integração com qualquer stack." }, "feat8_t": {"en": "Prometheus Native", "fr": "Prometheus natif", "de": "Prometheus nativ", "es": "Prometheus nativo", "it": "Prometheus nativo", "pt": "Prometheus nativo"}, "feat8_d": { "en": "Built-in /metrics endpoint. Plug into Grafana, Datadog, or any Prometheus-compatible tool. Zero config.", "fr": "Endpoint /metrics intégré. Connectez Grafana, Datadog ou tout outil compatible Prometheus. Zéro config.", "de": "Integrierter /metrics-Endpunkt. Anbindung an Grafana, Datadog oder jedes Prometheus-kompatible Tool. Null Konfiguration.", "es": "Endpoint /metrics integrado. Conecta Grafana, Datadog o cualquier herramienta compatible con Prometheus. Sin configuración.", "it": "Endpoint /metrics integrato. Collega Grafana, Datadog o qualsiasi strumento compatibile con Prometheus. Zero configurazione.", "pt": "Endpoint /metrics integrado. Conecte Grafana, Datadog ou qualquer ferramenta compatível com Prometheus. Zero configuração." }, "uc_title": { "en": "What Will You Discover?", "fr": "Qu'allez-vous découvrir ?", "de": "Was werden Sie entdecken?", "es": "¿Qué vas a descubrir?", "it": "Cosa scoprirai?", "pt": "O que você vai descobrir?" }, "uc_subtitle": { "en": "Real questions from r/LocalLLaMA, answered in one command.", "fr": "Les vraies questions de r/LocalLLaMA, une commande suffit.", "de": "Echte Fragen von r/LocalLLaMA, mit einem Befehl beantwortet.", "es": "Preguntas reales de r/LocalLLaMA, respondidas con un comando.", "it": "Domande reali da r/LocalLLaMA, risposte con un comando.", "pt": "Perguntas reais do r/LocalLLaMA, respondidas com um comando." }, "uc1_t": {"en": "Which engine is fastest?", "fr": "Quel moteur est le plus rapide ?", "de": "Welche Engine ist am schnellsten?", "es": "¿Cuál motor es el más rápido?", "it": "Quale motore è il più veloce?", "pt": "Qual motor é o mais rápido?"}, "uc1_d": {"en": "Head-to-head comparison — the #1 question on r/LocalLLaMA.", "fr": "Comparaison face-à-face — la question n°1 sur r/LocalLLaMA.", "de": "Direktvergleich — die Frage Nr. 1 auf r/LocalLLaMA.", "es": "Comparación directa — la pregunta n°1 en r/LocalLLaMA.", "it": "Confronto diretto — la domanda n°1 su r/LocalLLaMA.", "pt": "Comparação direta — a pergunta n°1 no r/LocalLLaMA."}, "uc2_t": {"en": "Monitor a multi-agent swarm", "fr": "Monitorer un essaim multi-agents", "de": "Multi-Agent-Schwarm überwachen", "es": "Monitorear un enjambre multi-agente", "it": "Monitorare uno sciame multi-agente", "pt": "Monitorar um enxame multi-agente"}, "uc2_d": {"en": "LLMs running 24/7 for AI agents — track VRAM, thermal, and performance.", "fr": "LLMs tournant 24/7 pour des agents IA — suivez VRAM, thermique et performances.", "de": "LLMs laufen 24/7 für KI-Agenten — VRAM, Temperatur und Leistung verfolgen.", "es": "LLMs ejecutándose 24/7 para agentes IA — monitorea VRAM, temperatura y rendimiento.", "it": "LLM in esecuzione 24/7 per agenti IA — monitora VRAM, temperatura e prestazioni.", "pt": "LLMs rodando 24/7 para agentes IA — acompanhe VRAM, temperatura e desempenho."}, "uc3_t": {"en": "Compare energy efficiency", "fr": "Comparer l'efficacité énergétique", "de": "Energieeffizienz vergleichen", "es": "Comparar eficiencia energética", "it": "Confrontare l'efficienza energetica", "pt": "Comparar eficiência energética"}, "uc3_d": {"en": "tok/s per watt between engines. Critical for 24/7 Mac Mini homelabs.", "fr": "tok/s par watt entre moteurs. Essentiel pour les homelabs Mac Mini 24/7.", "de": "tok/s pro Watt zwischen Engines. Kritisch für 24/7 Mac Mini Homelabs.", "es": "tok/s por vatio entre motores. Crítico para homelabs Mac Mini 24/7.", "it": "tok/s per watt tra motori. Critico per homelab Mac Mini 24/7.", "pt": "tok/s por watt entre motores. Crítico para homelabs Mac Mini 24/7."}, "uc4_t": {"en": "Detect regressions after updates", "fr": "Détecter les régressions après mise à jour", "de": "Regressionen nach Updates erkennen", "es": "Detectar regresiones tras actualizaciones", "it": "Rilevare regressioni dopo aggiornamenti", "pt": "Detectar regressões após atualizações"}, "uc4_d": {"en": "Did the Ollama or macOS update break your performance? Auto-detection via SQLite.", "fr": "La mise à jour Ollama ou macOS a cassé vos performances ? Détection auto via SQLite.", "de": "Hat das Ollama- oder macOS-Update Ihre Leistung verschlechtert? Automatische Erkennung via SQLite.", "es": "¿La actualización de Ollama o macOS rompió tu rendimiento? Detección automática via SQLite.", "it": "L'aggiornamento Ollama o macOS ha peggiorato le prestazioni? Rilevamento automatico via SQLite.", "pt": "A atualização do Ollama ou macOS quebrou seu desempenho? Detecção automática via SQLite."}, "uc5_t": {"en": "Test long context support", "fr": "Tester le support long contexte", "de": "Langkontext-Unterstützung testen", "es": "Probar soporte de contexto largo", "it": "Testare il supporto contesto lungo", "pt": "Testar suporte a contexto longo"}, "uc5_d": {"en": "--context-size 64k benchmarks. Does your model survive 256k context?", "fr": "Benchmarks --context-size 64k. Votre modèle survit-il à 256k de contexte ?", "de": "--context-size 64k Benchmarks. Übersteht Ihr Modell 256k Kontext?", "es": "Benchmarks --context-size 64k. Sobrevive tu modelo a 256k de contexto?", "it": "Benchmark --context-size 64k. Il tuo modello sopravvive a 256k di contesto?", "pt": "Benchmarks --context-size 64k. Seu modelo sobrevive a 256k de contexto?"}, "uc6_t": {"en": "Is my Mac thermal throttling?", "fr": "Mon Mac est-il en throttling thermique ?", "de": "Drosselt mein Mac thermisch?", "es": "¿Mi Mac tiene throttling térmico?", "it": "Il mio Mac fa throttling termico?", "pt": "Meu Mac está com throttling térmico?"}, "uc6_d": {"en": "Drift detection across benchmark runs. Unique to asiai.", "fr": "Détection de dérive thermique entre les runs. Unique à asiai.", "de": "Drift-Erkennung über Benchmark-Läufe hinweg. Einzigartig bei asiai.", "es": "Detección de deriva térmica entre ejecuciones. Único en asiai.", "it": "Rilevamento deriva termica tra le esecuzioni. Unico in asiai.", "pt": "Detecção de deriva térmica entre execuções. Único no asiai."}, "uc7_t": {"en": "Reproducible benchmarks", "fr": "Benchmarks reproductibles", "de": "Reproduzierbare Benchmarks", "es": "Benchmarks reproducibles", "it": "Benchmark riproducibili", "pt": "Benchmarks reprodutíveis"}, "uc7_d": {"en": "MLPerf/SPEC methodology. Warmup, median, greedy decoding. Share with confidence.", "fr": "Méthodologie MLPerf/SPEC. Warmup, médiane, décodage greedy. Partagez en confiance.", "de": "MLPerf/SPEC-Methodik. Warmup, Median, Greedy-Dekodierung. Mit Vertrauen teilen.", "es": "Metodología MLPerf/SPEC. Warmup, mediana, decodificación greedy. Comparte con confianza.", "it": "Metodologia MLPerf/SPEC. Warmup, mediana, decodifica greedy. Condividi con fiducia.", "pt": "Metodologia MLPerf/SPEC. Warmup, mediana, decodificação greedy. Compartilhe com confiança."}, "uc8_t": {"en": "Health check in one command", "fr": "Diagnostic en une commande", "de": "Gesundheitscheck mit einem Befehl", "es": "Diagnóstico en un comando", "it": "Diagnostica in un comando", "pt": "Diagnóstico em um comando"}, "uc8_d": {"en": "asiai doctor diagnoses system, engines, and database with fix suggestions.", "fr": "asiai doctor diagnostique système, moteurs et base de données avec suggestions de corrections.", "de": "asiai doctor diagnostiziert System, Engines und Datenbank mit Lösungsvorschlägen.", "es": "asiai doctor diagnostica sistema, motores y base de datos con sugerencias de solución.", "it": "asiai doctor diagnostica sistema, motori e database con suggerimenti di correzione.", "pt": "asiai doctor diagnostica sistema, motores e banco de dados com sugestões de correção."}, "uc9_t": {"en": "Visual dashboard", "fr": "Dashboard visuel", "de": "Visuelles Dashboard", "es": "Dashboard visual", "it": "Dashboard visuale", "pt": "Dashboard visual"}, "uc9_d": {"en": "Dark/light web dashboard with live charts, SSE progress, benchmark controls.", "fr": "Dashboard web dark/light avec graphiques en direct, progression SSE, contrôles de benchmark.", "de": "Dark/Light Web-Dashboard mit Live-Charts, SSE-Fortschritt und Benchmark-Steuerung.", "es": "Dashboard web dark/light con gráficos en vivo, progreso SSE y controles de benchmark.", "it": "Dashboard web dark/light con grafici live, avanzamento SSE e controlli benchmark.", "pt": "Dashboard web dark/light com gráficos ao vivo, progresso SSE e controles de benchmark."}, "uc10_t": {"en": "Compare LLMs head-to-head", "fr": "Comparer les LLMs face-à-face", "de": "LLMs direkt vergleichen", "es": "Comparar LLMs cara a cara", "it": "Confrontare LLM testa a testa", "pt": "Comparar LLMs frente a frente"}, "uc10_d": {"en": "Same engine, different models. Which quantization wins?", "fr": "Même moteur, différents modèles. Quelle quantification gagne ?", "de": "Gleiche Engine, verschiedene Modelle. Welche Quantisierung gewinnt?", "es": "Mismo motor, diferentes modelos. ¿Qué cuantización gana?", "it": "Stesso motore, modelli diversi. Quale quantizzazione vince?", "pt": "Mesmo motor, modelos diferentes. Qual quantização ganha?"}, "uc11_t": {"en": "Prometheus + Grafana monitoring", "fr": "Monitoring Prometheus + Grafana", "de": "Prometheus + Grafana Monitoring", "es": "Monitoreo Prometheus + Grafana", "it": "Monitoraggio Prometheus + Grafana", "pt": "Monitoramento Prometheus + Grafana"}, "uc11_d": { "en": "Expose /metrics, scrape with Prometheus, visualize in Grafana. Production-grade observability.", "fr": "Exposez /metrics, scrapez avec Prometheus, visualisez dans Grafana. Observabilité production-ready.", "de": "Exponieren Sie /metrics, scrapen mit Prometheus, visualisieren in Grafana. Produktionsreife Observability.", "es": "Expone /metrics, scrape con Prometheus, visualiza en Grafana. Observabilidad de nivel producción.", "it": "Esponi /metrics, scrape con Prometheus, visualizza in Grafana. Osservabilità production-grade.", "pt": "Exponha /metrics, scrape com Prometheus, visualize no Grafana. Observabilidade de nível produção." }, "how_title": { "en": "Up and Running in 60 Seconds", "fr": "Opérationnel en 60 secondes", "de": "In 60 Sekunden startklar", "es": "Funcionando en 60 segundos", "it": "Operativo in 60 secondi", "pt": "Funcionando em 60 segundos" }, "how_subtitle": { "en": "Three commands. That's it.", "fr": "Trois commandes. C'est tout.", "de": "Drei Befehle. Das war's.", "es": "Tres comandos. Eso es todo.", "it": "Tre comandi. Tutto qui.", "pt": "Três comandos. Só isso." }, "step1": {"en": "Install", "fr": "Installer", "de": "Installieren", "es": "Instalar", "it": "Installare", "pt": "Instalar"}, "step2": {"en": "Detect", "fr": "Détecter", "de": "Erkennen", "es": "Detectar", "it": "Rilevare", "pt": "Detectar"}, "step3": {"en": "Benchmark", "fr": "Benchmarker", "de": "Benchmarken", "es": "Benchmark", "it": "Benchmark", "pt": "Benchmark"}, "step2_out": {"en": "3 engines found", "fr": "3 moteurs trouvés", "de": "3 Engines gefunden", "es": "3 motores encontrados", "it": "3 motori trovati", "pt": "3 motores encontrados"}, "disc_title": { "en": "Real Discoveries", "fr": "Découvertes réelles", "de": "Echte Entdeckungen", "es": "Descubrimientos reales", "it": "Scoperte reali", "pt": "Descobertas reais" }, "disc_subtitle": { "en": "Numbers from actual benchmarks on Apple Silicon.", "fr": "Chiffres issus de vrais benchmarks sur Apple Silicon.", "de": "Zahlen aus echten Benchmarks auf Apple Silicon.", "es": "Números de benchmarks reales en Apple Silicon.", "it": "Numeri da benchmark reali su Apple Silicon.", "pt": "Números de benchmarks reais em Apple Silicon." }, "disc1_d": { "en": "MLX is 2.3x faster for MoE architectures (Qwen3.5-35B-A3B) on Apple Silicon.", "fr": "MLX est 2,3x plus rapide pour les architectures MoE (Qwen3.5-35B-A3B) sur Apple Silicon.", "de": "MLX ist 2,3x schneller für MoE-Architekturen (Qwen3.5-35B-A3B) auf Apple Silicon.", "es": "MLX es 2,3x más rápido para arquitecturas MoE (Qwen3.5-35B-A3B) en Apple Silicon.", "it": "MLX è 2,3x più veloce per architetture MoE (Qwen3.5-35B-A3B) su Apple Silicon.", "pt": "MLX é 2,3x mais rápido para arquiteturas MoE (Qwen3.5-35B-A3B) em Apple Silicon." }, "disc2_t": { "en": "VRAM: 64k → 256k", "fr": "VRAM : 64k → 256k", "de": "VRAM: 64k → 256k", "es": "VRAM: 64k → 256k", "it": "VRAM: 64k → 256k", "pt": "VRAM: 64k → 256k" }, "disc2_d": { "en": "VRAM stays constant from 64k to 256k context with DeltaNet — not documented anywhere else.", "fr": "La VRAM reste constante de 64k à 256k de contexte avec DeltaNet — non documenté ailleurs.", "de": "VRAM bleibt konstant von 64k bis 256k Kontext mit DeltaNet — nirgendwo anders dokumentiert.", "es": "La VRAM se mantiene constante de 64k a 256k con DeltaNet — no documentado en ningún otro lugar.", "it": "La VRAM resta costante da 64k a 256k di contesto con DeltaNet — non documentato altrove.", "pt": "A VRAM permanece constante de 64k a 256k de contexto com DeltaNet — não documentado em nenhum outro lugar." }, "disc3_t": { "en": "Engine > Model", "fr": "Moteur > Modèle", "de": "Engine > Modell", "es": "Motor > Modelo", "it": "Motore > Modello", "pt": "Motor > Modelo" }, "disc3_d": { "en": "Same model, same Mac: 30 tok/s on one engine, 71 tok/s on another. The engine matters more.", "fr": "Même modèle, même Mac : 30 tok/s sur un moteur, 71 tok/s sur un autre. Le moteur compte plus.", "de": "Gleiches Modell, gleicher Mac: 30 tok/s auf einer Engine, 71 tok/s auf einer anderen. Die Engine zählt mehr.", "es": "Mismo modelo, mismo Mac: 30 tok/s en un motor, 71 tok/s en otro. El motor importa más.", "it": "Stesso modello, stesso Mac: 30 tok/s su un motore, 71 tok/s su un altro. Il motore conta di più.", "pt": "Mesmo modelo, mesmo Mac: 30 tok/s em um motor, 71 tok/s em outro. O motor importa mais." }, "eng_title": { "en": "Supported Engines", "fr": "Moteurs supportés", "de": "Unterstützte Engines", "es": "Motores soportados", "it": "Motori supportati", "pt": "Motores suportados" }, "eng_subtitle": { "en": "Auto-detected, zero configuration needed.", "fr": "Détection automatique, zéro configuration.", "de": "Automatisch erkannt, keine Konfiguration nötig.", "es": "Detección automática, sin configuración.", "it": "Rilevamento automatico, zero configurazione.", "pt": "Detecção automática, zero configuração." }, "eng_port": {"en": "Default Port", "fr": "Port par défaut", "de": "Standard-Port", "es": "Puerto por defecto", "it": "Porta predefinita", "pt": "Porta padrão"}, "eng_native": {"en": "Native", "fr": "Native", "de": "Nativ", "es": "Nativa", "it": "Nativa", "pt": "Nativa"}, "eng_compat": {"en": "OpenAI-compatible", "fr": "Compatible OpenAI", "de": "OpenAI-kompatibel", "es": "Compatible con OpenAI", "it": "Compatibile OpenAI", "pt": "Compatível com OpenAI"}, "met_title": { "en": "What We Measure", "fr": "Ce qu'on mesure", "de": "Was wir messen", "es": "Qué medimos", "it": "Cosa misuriamo", "pt": "O que medimos" }, "met_subtitle": { "en": "8 metrics, consistent methodology, every run.", "fr": "8 métriques, méthodologie constante, à chaque run.", "de": "8 Metriken, konsistente Methodik, bei jedem Lauf.", "es": "8 métricas, metodología consistente, cada ejecución.", "it": "8 metriche, metodologia coerente, ogni esecuzione.", "pt": "8 métricas, metodologia consistente, cada execução." }, "m_toks": {"en": "Generation speed (tokens/sec)", "fr": "Vitesse de génération (tokens/sec)", "de": "Generierungsgeschwindigkeit (Tokens/Sek.)", "es": "Velocidad de generación (tokens/seg)", "it": "Velocità di generazione (token/sec)", "pt": "Velocidade de geração (tokens/seg)"}, "m_ttft": {"en": "Time to first token", "fr": "Temps au premier token", "de": "Zeit bis zum ersten Token", "es": "Tiempo al primer token", "it": "Tempo al primo token", "pt": "Tempo ao primeiro token"}, "m_power": {"en": "GPU power draw in watts", "fr": "Consommation GPU en watts", "de": "GPU-Leistungsaufnahme in Watt", "es": "Consumo GPU en vatios", "it": "Consumo GPU in watt", "pt": "Consumo GPU em watts"}, "m_eff": {"en": "Energy efficiency", "fr": "Efficacité énergétique", "de": "Energieeffizienz", "es": "Eficiencia energética", "it": "Efficienza energetica", "pt": "Eficiência energética"}, "m_stab": {"en": "Run-to-run variance", "fr": "Variance inter-runs", "de": "Lauf-zu-Lauf-Varianz", "es": "Varianza entre ejecuciones", "it": "Varianza tra esecuzioni", "pt": "Variância entre execuções"}, "m_vram": {"en": "GPU memory footprint", "fr": "Empreinte mémoire GPU", "de": "GPU-Speicherbedarf", "es": "Huella de memoria GPU", "it": "Footprint memoria GPU", "pt": "Pegada de memória GPU"}, "m_therm": {"en": "Throttling state", "fr": "État de throttling", "de": "Throttling-Status", "es": "Estado de throttling", "it": "Stato di throttling", "pt": "Estado de throttling"}, "m_ctx": {"en": "Long context perf scaling", "fr": "Scaling perf long contexte", "de": "Langkontext-Performance", "es": "Escalado contexto largo", "it": "Scaling contesto lungo", "pt": "Escala contexto longo"}, "cta_title": { "en": "Get Started", "fr": "Démarrer", "de": "Loslegen", "es": "Empezar", "it": "Inizia", "pt": "Começar" }, "cta_subtitle": { "en": "Install in seconds. Zero dependencies.", "fr": "Installation en secondes. Zéro dépendance.", "de": "Installation in Sekunden. Keine Abhängigkeiten.", "es": "Instalación en segundos. Sin dependencias.", "it": "Installazione in secondi. Zero dipendenze.", "pt": "Instalação em segundos. Zero dependências." }, "cta_doc": {"en": "Documentation", "fr": "Documentation", "de": "Dokumentation", "es": "Documentación", "it": "Documentazione", "pt": "Documentação"}, "cta_method": {"en": "Methodology", "fr": "Méthodologie", "de": "Methodik", "es": "Metodología", "it": "Metodologia", "pt": "Metodologia"} } %} {# Helper macro to get translation with fallback to English #} {% macro tr(key) %}{{ t[key][lang] | default(t[key]["en"]) }}{% endmacro %}
asiai logo

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{{ tr("cta_start") }} {{ tr("cta_github") }}
Python 3.11+ Apache 2.0 Apple Silicon
asiai CLI benchmark

asiai bench

asiai web dashboard

asiai web

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🧩

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🙈

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📋

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⚔️

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⚡

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🔧

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📦

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🌡️

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📉

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🌐

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📈

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🏆

"{{ tr("uc1_t") }}"

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🤖

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🔋

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🚨

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📏

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🔥

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📊

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🩺

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💻

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🔄

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📡

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1

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brew install asiai
2

{{ tr("step2") }}

$ asiai detect ✔ ollama (11434) ✔ lmstudio (1234) ✔ mlx-lm (8080) → {{ tr("step2_out") }}
3

{{ tr("step3") }}

$ asiai bench -m qwen3.5 Engine tok/s TTFT lmstudio 71.2 42ms ollama 54.8 61ms mlx-lm 30.1 38ms

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2.3x

MLX vs llama.cpp

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Flat

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30 vs 71

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Engine {{ tr("eng_port") }} API VRAM
Ollama 11434 {{ tr("eng_native") }} ✔
LM Studio 1234 {{ tr("eng_compat") }} —
mlx-lm 8080 {{ tr("eng_compat") }} —
llama.cpp 8080 {{ tr("eng_compat") }} —
vllm-mlx 8000 {{ tr("eng_compat") }} —

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🚀

tok/s

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⏱️

TTFT

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⚡

Power (W)

{{ tr("m_power") }}

🔋

tok/s/W

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📈

Stability

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💾

VRAM

{{ tr("m_vram") }}

🌡️

Thermal

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📏

Context

{{ tr("m_ctx") }}

{{ tr("cta_title") }}

{{ tr("cta_subtitle") }}

Homebrew
brew tap druide67/tap brew install asiai
pip
pip install asiai
GitHub {{ tr("cta_doc") }} {{ tr("cta_method") }} Apache 2.0
{% endblock %}