Llama, Mistral, or custom fine-tuned models running on your hardware. Switch models anytime. No vendor lock-in. The weights live on your servers.
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It means the model weights live on your hardware. You can copy them, back them up, deploy them anywhere, modify them, or switch to different models anytime. No API calls to external services. No usage limits. No per-token fees. No vendor price increases or service discontinuation.
The hardware stays the same. You just swap model files. No vendor negotiations, no migration projects, no downtime.
Meta's open-weight models. Commercial license included. Best for general-purpose tasks, coding assistance, document processing.
Mistral AI's efficient models. Apache 2.0 license. Strong reasoning, multilingual support, fast inference. Lower hardware requirements than Llama.
Fine-tune Llama or Mistral on your proprietary data. LoRA, full fine-tuning, or RLHF. The fine-tuned weights belong to you completely.
Code models (CodeLlama, StarCoder), medical models (Med-PaLM-like), legal models, finance models. Domain-specific performance where you need it.
Hardware ships to your site. No internet connection required for inference. Model weights never leave your premises. Zero data exfiltration risk.
After deployment, you own the hardware and the model weights outright. We can provide ongoing support, but ownership is legally transferred to you. No leases, no subscriptions.
Want to try Llama 3.1 this month and Mistral next month? No problem. A/B test multiple models in parallel? Easy. The hardware supports any model within its capacity.
All models we deploy come with proper commercial licenses. No legal gray areas. We provide documentation proving license compliance for your auditors.
GPU hardware is expensive. A capable inference server starts around $6,500.
For high-volume users (500K+ tokens/day), you break even in 6-12 months vs. API costs. Plus financing options available. After breakeven, inference is essentially free forever.
Most orgs don't have ML engineers on staff to manage GPU infrastructure.
We configure everything, deploy it turnkey, and offer optional managed services. Your team just uses the API endpoint. Model updates? We handle it. Hardware issue? We swap it.
Llama and Mistral are good, but some orgs worry they're not GPT-4 level.
True for cutting-edge research, but for 80% of business use cases (document processing, chat, summarization, code generation), Llama 3.1 70B performs on par. Fine-tuning on your data often beats GPT-4 for domain-specific tasks.
Fine-tuning requires ML expertise, training data preparation, evaluation pipelines.
We offer fine-tuning as a service. You provide the data, we handle training infrastructure, hyperparameter tuning, and evaluation. You get back fine-tuned weights you own completely.
You own the model weights stored on your hardware. You can copy them, back them up, deploy them anywhere, modify them, fine-tune them, or switch to different models anytime. There are no API calls to external services, no usage limits, no per-token fees, and no risk of vendor price increases or service discontinuation.
Absolutely. Want to try Llama 3.1 this month and Mistral next month? No problem. Want to A/B test multiple models? Easy. The hardware stays the same, you just swap model files. No vendor negotiations, no migration projects, no downtime.
You own the weights, so you can fine-tune however you want. We can help with LoRA fine-tuning, full fine-tuning, or RLHF depending on your needs. The fine-tuned weights live on your hardware and belong to you completely.
Upfront hardware cost is higher, but there are zero ongoing usage fees. For organizations processing millions of tokens monthly, you break even quickly. Plus you get guaranteed cost predictability, no rate limits, complete data privacy, and the ability to switch models without vendor lock-in.
You own the model weights, so back them up just like any other critical data. Hardware comes with manufacturer warranty. We offer optional managed services including hot-spare hardware, automated backups, and 4-hour replacement SLA.
Yes. All models we deploy (Llama, Mistral, etc.) come with proper commercial licenses. We provide documentation proving license compliance for your auditors. You can use the models for any legal commercial purpose, including reselling API access.
Talk to us about your use case. We'll spec the right hardware, choose the best model, and get you to ownership in weeks, not months.