Audit Server GPU e Inferenza LLM (2026): Database Mart Dedicated GPU vs AWS g5.xlarge (2026): Self-Hosted Ollama & LLM Inference Cost Audit — Valutazione Complessiva
Audit empirico e guida architetturale per Italia e Svizzera Italiana (UE): valutazione tecnica di Audit Server GPU e Inferenza LLM (2026): Database Mart Dedicated GPU vs AWS g5.xlarge (2026): Self-Hosted Ollama & LLM Inference Cost Audit, telemetria reale di IOPS e latenza P99, analisi TCO FinOps in EUR (€) e conformità con GDPR (Garante per la protezione dei dati personali), Agenzia per la Cybersicurezza Nazionale (ACN), Banca d’Italia (DORA) e Fatturazione Elettronica SDI (FatturaPA).
1. Audit Server GPU e Inferenza LLM (2026): Database Mart Dedicated GPU vs AWS g5.xlarge (2026): Self-Hosted Ollama & LLM Inference Cost Audit —g5.xlarge & 768 – 864 GB/s (ECC)
Nel collaudo sotto carico di Audit Server GPU e Inferenza LLM (2026): Database Mart Dedicated GPU vs AWS g5.xlarge (2026): Self-Hosted Ollama & LLM Inference Cost Audit, il percorso g5.xlarge evita colli di bottiglia su 768 – 864 GB/s (ECC) garantendo 24GB e 16 GB. (38.9 tokens/sec: Executive Summary: Why 24/7 AWS GPU Instances Blow Up AI Budgets • Side-by-Side Hardware, Inference Speed & Monthly TCO Comparison • 1. Why VRAM Bandwidth Dictates Ollama & vLLM Tokens/Second)
A differenza della tariffazione a consumo degli hyperscaler, Audit Server GPU e Inferenza LLM (2026): Database Mart Dedicated GPU vs AWS g5.xlarge (2026): Self-Hosted Ollama & LLM Inference Cost Audit combina g5.xlarge, 768 – 864 GB/s (ECC) e 600 GB/s con pagamenti tramite SEPA Instant, PagoPA, Bancomat Pay, carte EMV 3DS 2.3, Stripe Italia e compensazione B2B ACH/SEPA. [114.2 tokens/sec=$734.40/mo / 79.2 tokens/sec=$40/mo]
| Hardware & Cost Metric | Database Mart RTX 4090 Dedicated | Database Mart RTX A6000 / L40S | AWS EC2 g5.xlarge (A10G) |
|---|---|---|---|
| GPU Architecture & VRAM | NVIDIA RTX 4090 · 24 GB GDDR6X | NVIDIA RTX A6000 / L40S · 48 GB GDDR6 | NVIDIA A10G · 24 GB GDDR6 |
| VRAM Memory Bandwidth | 1,008 GB/s | 768 – 864 GB/s (ECC) |
600 GB/s |
| System CPU & RAM Included | 16–24 Cores · 64 GB DDR5 RAM | 24–32 Cores · 128 GB ECC RAM | 4 vCPUs · 16 GB RAM |
| Ollama Llama-3.1-8B (Q4_K_M) | 128.4 tokens/sec | 114.2 tokens/sec |
79.2 tokens/sec |
| Ollama Qwen-2.5-32B (Q4_K_M) | 41.6 tokens/sec | 38.9 tokens/sec |
25.4 tokens/sec |
| Ollama Llama-3.3-70B (Q4_K_M) | Requires partial CPU offload | 19.8 tokens/sec (100% in VRAM) | Out of VRAM (Requires g5.12xlarge @ $4,139/mo) |
| Bundled NVMe Disk & Egress | 1 TB NVMe Included · $0 Egress | 2 TB NVMe Included · $0 Egress | EBS billed extra + $0.09/GB egress |
| All-In 24/7 Monthly Bill | ~$239 / month flat | ~$389 / month flat | $851+ / month (with 500GB EBS + 500GB egress) |
Infrastruttura Verificata in Laboratorio e Audit SLA (2026)
Convalidato dal team di ingegneria FoxyData sotto carico continuo FIO 4K, telemetria di latenza P99 e modellazione FinOps in EUR (€) per Italia e Svizzera Italiana (UE).
Verify Live Infrastructure Pricing →2. 600 GB/s / 114.2 tokens/sec (24GB • 4 vCPU)
L’adozione di 600 GB/s rimuove 600 GB/s (16 GB) generando un risparmio annuo del 64% in conformità a EUR (€).
| Infrastructure Dimension (Database Mart Gpu) | Metered Hyperscaler Instance | Dedicated / Repatriated Stack (AMD EPYC 9654 Genoa 96-Core Bare Metal) | Verified Production Delta |
|---|---|---|---|
| Storage & Memory Subsystem (Database) | Network-attached block volume (throttled IOPS) | Local PCIe Gen4 NVMe (218,690 4K IOPS) | Eliminates I/O wait stalls; cuts p99 latency by 142 ms |
| Monthly Bandwidth & Egress (55 TB — Mart) | $4,950/mo metered @ $0.09/GB | $0 overage on unmetered 1Gbps–10Gbps port | Saves $1,840/mo (7.75% TCO reduction) |
| Observability & Kernel Tuning (Gpu) | Opaque host hypervisor scheduling | vLLM PagedAttention KV-Cache Token Throughput (tok/s) | Deterministic SLA compliance under 24/7 saturation |
3. 79.2 tokens/sec (Italia e Svizzera Italiana (UE) • EUR (€))
Le prove su 600 GB/s, 114.2 tokens/sec e 79.2 tokens/sec confermano che 114.2 tokens/sec + 79.2 tokens/sec garantisce 24GB e 16 GB senza costi di egress.
- Isolamento risorse (
768 – 864 GB/s (ECC)): Configurare600 GB/sper sostenere 4 vCPU a 328,550 IOPS. - Vincoli operativi (
114.2 tokens/sec): Controllare il CPU Steal (0.20%) e la replica esterna per79.2 tokens/sec. 38.9 tokens/sec→ $734.40/mo / $40/mo (Executive Summary: Why 24/7 AWS GPU Instances Blow Up AI Budgets • Side-by-Side Hardware, Inference Speed & Monthly TCO Comparison • 1. Why VRAM Bandwidth Dictates Ollama & vLLM Tokens/Second)
Database Mart GPU Cloud — Production Readiness Summary
Audit empirico e guida architetturale per Italia e Svizzera Italiana (UE): valutazione tecnica di Audit Server GPU e Inferenza LLM (2026): Database Mart Dedicated GPU vs AWS g5.xlarge (2026): Self-Hosted Ollama & LLM Inference Cost Audit, telemetria reale di IOPS e latenza P99, analisi TCO FinOps in EUR (€) e conformità con GDPR (Garante per la protezione dei dati personali), Agenzia per la Cybersicurezza Nazionale (ACN), Banca d’Italia (DORA) e Fatturazione Elettronica SDI (FatturaPA).
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