Pricing
Not listed
Official monthly price not confirmed
- API
- Not confirmed
Code · Vendor site 2026-10-04
Lamb Labs is building MPUs (Model Processing Units) that hardcode entire models including weights into silicon to escape GPU memory-bandwidth limits, targeting very high tokens per second. The team ships Larry, a one-bit quantized Qwen variant, FPGA prototypes, and on-chip demos on the path to custom ASICs.
AI infrastructure researchers and engineers exploring custom silicon and extreme inference efficiency beyond general-purpose GPUs.
Little Lamb live demo is noted as temporarily offline and there is no public SaaS pricing.
Lamb Labs combines quantization software and FPGA or ASIC hardware to pursue on-chip inference at datacenter-scale token rates.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| MPU thesis | Homepage states Lamb Labs hardcodes the entire model into silicon so the model is the chip, targeting 20,000+ tokens per second. | Facts sourced | 2026-10-04 |
| Larry model | Larry quantizes Qwen3 27B to one bit per weight at 3.8 GB while keeping 92% of an IFEval strict-prompt score per the site. | Facts sourced | 2026-10-04 |
Understand the total cost
Pricing
Not listed
Official monthly price not confirmed
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Lamb Labs is building MPUs (Model Processing Units) that hardcode entire models including weights into silicon to escape GPU memory-bandwidth limits, targeting very high tokens per second. The team ships Larry, a one-bit quantized Qwen variant, FPGA prototypes, and on-chip demos on the path to custom ASICs.
Site offers a live chat demo of Larry without listing a paid consumer plan.. This record does not confirm an ongoing free plan.
A listed monthly price has not been confirmed. See the plan cards for entitlements, billing commitments and seat minimums.
Not confirmed. API access and subscription access may have different terms; consult the linked sources.
Little Lamb live demo is noted as temporarily offline and there is no public SaaS pricing.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
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