int4.llm

70B-class LLMs.
One $400 GPU.

Adaptive Bit Mixed quantization + Zero-Offload PCIe scheduling — running entirely on your own machine. Prompts and weights never leave the box.

Free tier at launch: 50M tokens / month, all model sizes (8B / 32B / 70B).

QuantizationAdaptive Bit Mixed

7-tier per-layer dispatcher (FP16 / INT8 / INT6 / INT4 / NF4 / INT3 / INT2). Hadamard preconditioning default-on, NF4 codebook for body layers. 70B compresses to 44 GB at 4.5 bits/param avg, 95.7 % quality retention measured on 8B.

ThroughputZero-Offload PCIe

70B doesn't fit in 16 GB VRAM. Phase B Zero-Offload scheduler pre-allocates pinned host RAM and overlaps weight prefetch with compute on CUDA streams. Target 8-10 tok/s — chat-grade, on a single $400 GPU.

PrivacyTruly local

Inference runs entirely on the customer's machine. The SaaS control plane only sees license validity and aggregate hardware telemetry. Prompt text and completions never transit the network.

int4.llm

70B-class LLMs.
One $400 GPU.

Adaptive Bit Mixed quantization + Zero-Offload PCIe scheduling — running entirely on your own machine. Prompts and weights never leave the box.

Free tier at launch: 50M tokens / month, all model sizes (8B / 32B / 70B).

QuantizationAdaptive Bit Mixed

ThroughputZero-Offload PCIe

PrivacyTruly local

Inference runs entirely on the customer's machine. The SaaS control plane only sees license validity and aggregate hardware telemetry. Prompt text and completions never transit the network.

70B-class LLMs.One $400 GPU.

70B-class LLMs.One $400 GPU.

70B-class LLMs.
One $400 GPU.

70B-class LLMs.
One $400 GPU.