Enterprise AI that runs entirely on your hardware.
No cloud. No third parties. No compromises.
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Conversational AI Interface
A private AI assistant trained on your data. Ask questions about costs, contracts, documents, and operations — get instant, accurate answers without exposing a single byte to the cloud.
Cloud frontier through your own keys, or on-cluster MLX inference running on the Apple Silicon mesh we install on-site. No data leaves your perimeter unless you say so.
| Model | Provider | Reasoning | Vision | Tools | Context | Price ($/M) | Score |
|---|---|---|---|---|---|---|---|
Qwen3.5 397B-A17B (6-bit)On-cluster | fib0 Cluster | 262K | On-prem | 96 | |||
Kimi K2.6 (unquantized)On-cluster | fib0 Cluster | 262K | On-prem | 96 | |||
Kimi K2.5 (4-bit)On-cluster | fib0 Cluster | 262K | On-prem | 95 | |||
DeepSeek V4 Flash (8-bit)On-cluster | fib0 Cluster | 1.0M | On-prem | 95 | |||
DeepSeek V4 Flash (4-bit)On-cluster | fib0 Cluster | 1.0M | On-prem | 94 | |||
Qwen3.5 122B-A10B (NVFP4)On-cluster | fib0 Cluster | 262K | On-prem | 93 | |||
Qwen3-Next 80B-A3B (4-bit)On-cluster | fib0 Cluster | 262K | On-prem | 92 | |||
Qwen3-Coder Next (8-bit)On-cluster | fib0 Cluster | 262K | On-prem | 92 | |||
GLM-4.7 Flash (8-bit)On-cluster | fib0 Cluster | 203K | On-prem | 90 | |||
Qwen3-VL 30B-A3B (bf16)On-cluster | fib0 Cluster | 262K | On-prem | 90 | |||
GLM-4.6V (4-bit)On-cluster | fib0 Cluster | 131K | On-prem | 89 | |||
Nemotron-H 8B Reasoning (4-bit)On-cluster | fib0 Cluster | 33K | On-prem | 89 |
Score is fib0’s internal aggregate across reasoning, accuracy, speed, and creativity (0–100). Cloud pricing is the published per-million-token rate; on-cluster models bill against your hardware, not per-token. Catalog updated May 2026.
Every deployment is branded to your organization. Your logo, your domain, your data — an AI platform your team will recognize as their own.
The average data breach costs $4.88M (IBM, 2024). Your prompts, documents, and model outputs never leave your network \u2014 zero cloud API exposure.
Cloud APIs charge $10\u2013$75 per million tokens. Local inference costs ~$0.50 per million in electricity. Hardware pays for itself in under 7 months.
M3 Ultra runs 70B models at 95 tokens/sec on 270W \u2014 3x more power-efficient than NVIDIA H200. Silent, desk-friendly, zero driver configuration.
Join forward-thinking companies using local AI to protect their data, control costs, and maintain competitive advantage.