Runaway Inference Bills
GPT-4 and Claude charges stack up with every call. Production AI becomes budget chaos at any meaningful scale.
ZeroBoxx is a plug-in AI supercomputer with up to 252 GB of VRAM. Deploy any LLM on-premise — zero token costs, complete data privacy.
At scale, proprietary AI APIs cost more, leak more, and limit more than most teams realize.
GPT-4 and Claude charges stack up with every call. Production AI becomes budget chaos at any meaningful scale.
Every prompt sent to a cloud model is a compliance risk. HIPAA, GDPR, and trade secrets can't go to a third-party GPU.
API quotas cap your throughput. High-volume pipelines hit walls exactly when you need performance the most.
Proprietary API formats, model deprecations, and pricing changes leave you beholden to a single provider's roadmap.
Side by side against the leading cloud AI APIs -- no cherry-picking.
| Feature | ZeroBoxx | Cloud API A | Cloud API B |
|---|---|---|---|
| Inference Cost | $0 per token | $0.03 / 1K tokens | $0.06 / 1K tokens |
| Data Privacy | 100% on-premise | Third-party cloud | Third-party cloud |
| Air-Gap Capable | |||
| Custom Model Support | Limited | ||
| OpenAI-Compatible API | |||
| Rate Limits | None | Strict | Strict |
| HIPAA / SOC 2 Ready | Shared responsibility | Shared responsibility | |
| Hardware Ownership |
Whether you're running one model or an entire AI platform, there's a ZeroBoxx for you.
Desktop form factor. Up to 2x NVIDIA B200 GPUs, 63 GB VRAM per card, 2U compatible. For individual teams and early-stage AI workloads.
4U rackmount powerhouse. 8x NVIDIA B200 GPUs, 252 GB unified VRAM, NVLink fabric. For enterprise AI platforms and data centers.
ZeroBoxx ships as a complete system -- hardware, firmware, and runtime -- optimized end-to-end.
Sub-100ms latency on 70B+ models. Your app feels native, not network-bound.
Deploy completely offline. No data ever leaves your building -- air-gap certified.
Llama 3, Mistral, Phi, DeepSeek, Qwen -- run anything from HuggingFace, no licensing friction.
Drop-in replacement. Change one URL in your code and keep every tool, SDK, and framework working.
Load a new model in seconds without rebooting. Seamlessly serve multiple workloads on the same hardware.
Prometheus metrics, distributed traces, and a live dashboard out of the box. No third-party monitoring setup.
Every regulated industry has the same problem. ZeroBoxx is the solution.
Book a 30-minute demo and see ZeroBoxx run a 70B model live -- at $0 per inference.
A practical guide to deploying Meta's Llama 3.1 on ZeroBoxx hardware. From unboxing to your first inference in a few hours, with no cloud connections required.
The per-token pricing model for cloud AI looks affordable at small scale, but the math changes dramatically as usage grows. Here is a realistic TCO comparison for enterprise AI infrastructure.
Cloud AI promises convenience, but at a hidden cost: your data leaves your network with every query. Here is why on-premise AI infrastructure is the only real option for enterprises with sensitive data.