Show HN: Taalas-style on-chip LLM weights on a $250 AMD FPGA (60k tok/s)
Aug 10, 2026 · FPGA Taalas-Style On-Chip Weights on a $250 FPGA: a Language Model at 60k tok/s A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Where the whole model runs here. of a $250 FPGAField-Programmable Gate Array: a chip full of reconfigurable logic you wire into a custom digital circuit, instead of running software on a fixed CPU..
- ▪Aug 10, 2026 · FPGA Taalas-Style On-Chip Weights on a $250 FPGA: a Language Model at 60k tok/s A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260.
- ▪Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact.
- ▪Where the whole model runs here. of a $250 FPGAField-Programmable Gate Array: a chip full of reconfigurable logic you wire into a custom digital circuit, instead of running software on a fixed CPU..
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| Original publisher | Mikeayles |
| Canonical URL | https://www.mikeayles.com/blog/on-chip-llm-kv260/ |
| Publication time | Mon, 10 Aug 2026 11:52:07 +0000 |
| Retrieval time | 2026-08-10T11:55:46.090Z |
| Last seen | 2026-08-10T11:55:46.090Z |
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Aug 10, 2026 · FPGA Taalas-Style On-Chip Weights on a $250 FPGA: a Language Model at 60k tok/s A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Chat with it live. FPGAMachine LearningHardwareAI .kg-term { position: relative; display: inline-block; } .kg-anchor { font: inherit; color: inherit; background: none; border: none; padding: 0; cursor: help; line-height: inherit; border-bottom: 1px dotted var(--text-secondary, #888); } .kg-tip { position: absolute; bottom: calc(100% + 8px); left: 50%; transform: translateX(-50%); width: min(280px, 78vw); z-index: 60; background: var(--surface, #1a1a1a); color: var(--text-primary, #eee); border: 1px solid var(--border, #444);…
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