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GitHub - robertcprice/nCPU: nCPU: model-native and tensor-optimized CPU research runtimes with organized workloads, tools, and docs
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A CPU that runs entirely on GPU

nCPU is a CPU architecture that operates entirely on GPU, utilizing tensors for registers, memory, flags, and the program counter. All arithmetic operations, including addition, multiplication, bitwise operations, and shifts, are performed through trained neural networks, with specific methods like Kogge-Stone carry-lookahead for addition and learned byte-pair lookup tables for multiplication.

github.com

🔥🔥🔥🔥🔥

8 min

3/4/2026

A CPU that runs entirely on GPU

nCPU is a CPU architecture that operates entirely on GPU, utilizing tensors for registers, memory, flags, and the program counter. All arithmetic operations, including addition, multiplication, bitwise operations, and shifts, are performed through trained neural networks, with specific methods like Kogge-Stone carry-lookahead for addition and learned byte-pair lookup tables for multiplication.

github.com

🔥🔥🔥🔥🔥

8 min

3/4/2026

A CPU that runs entirely on GPU

nCPU is a CPU architecture that operates entirely on GPU, utilizing tensors for registers, memory, flags, and the program counter. All arithmetic operations, including addition, multiplication, bitwise operations, and shifts, are performed through trained neural networks, with specific methods like Kogge-Stone carry-lookahead for addition and learned byte-pair lookup tables for multiplication.

github.com

🔥🔥🔥🔥🔥

8 min

3/4/2026

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