RL Chip-Design Environment
Interactive explorer of chip designs found by a reinforcement-learning search for a ternary 1.7B-parameter model: the user picks a process node and weights power, latency and area, and it returns the best design found, with silicon area and inference throughput to test.
Find alternatives to RL Chip-Design Environment
What it does
- AI compute hardware
Sources
- Pricing
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The page states no price or plan.
- Description
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Official documentation · 19 Oct 2026
"Our reinforcement-learning environment explored tens of thousands of chip designs for a ternary 1.7B-parameter model. Pick a process node, tell it what you care about, power, latency, area, and it hands you the best design it found."
- What it does
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Official documentation · 19 Oct 2026
"Design Your Chip"; "Pareto front"; "Build this chip →".
- Sold within
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Read the page: it states no purchase route; the contact address is the only next step.
- Name
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Official documentation · 19 Oct 2026
Homepage, Stage 04: "Our RL environment searches chip designs for the best speed and energy per token."; the page is titled RL Chip-Design Environment, Lamb Labs.
- URL
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Official documentation · 19 Oct 2026
Own page: "Our reinforcement-learning environment explored tens of thousands of chip designs for a ternary 1.7B-parameter model."
- Deployment
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Official documentation · 19 Oct 2026
Runs in the browser at lamb-labs.com/rl.
- Interfaces
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Official documentation · 19 Oct 2026
Used in the browser at lamb-labs.com/rl.
- Modalities
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Official documentation · 19 Oct 2026
"Pick a process node, tell it what you care about, power, latency, area, and it hands you the best design it found."
Also from Lamb Labs
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Lamb Labs MPU Hardware
Model Processing Unit: a custom chip whose architecture and weights are hard-coded for one model, targeting 20,000+ tokens per second for a 27B-parameter model; not yet a chip on sale, with a one-bit model (Larry) to chat with live and an FPGA prototype as proof stages.
Open Lamb Labs in the directory
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