flashrt/fp8-gemm

FlashRT native CUDA FP8 GEMV/GEMM kernels for low-latency transformer and diffuser linear layers.

The block-128 scaled API supports Ada sm_89 and Blackwell sm_120a. Per-tensor decode and small-M APIs target Blackwell sm_120a.

Functions

  • fp8_linear_bf16(input, weight, alpha=1.0, out=None, variant=0)
  • fp8_linear_residual_bf16(input, weight, residual, alpha=1.0, variant=0)
  • fp8_blockwise_linear_bf16(input, weight, input_scale, weight_scale, out=None)
  • select_fp8_linear_tile(m, n, k, variant=0)

See the repository README for shape contracts, validation status, and examples.

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48GB
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48GB
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24GB
DGX Spark
GB10
128GB
GPU
RTX PRO 6000 WS
96GB
GPU
RTX PRO 6000 Max-Q
96GB
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RTX PRO 5000
48GB
GPU
RTX PRO 4500 WS
32GB
GPU
RTX PRO 4000
24GB
GPU
RTX PRO 4000 SFF
24GB
GPU
RTX PRO 2000
16GB
GPU
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48GB
GPU
RTX 5880 Ada
48GB
RTX
RTX 5000 Ada
32GB
GPU
RTX 4500 Ada
24GB
RTX
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20GB
RTX
RTX 4000 SFF Ada
20GB
GPU
RTX 3500 Ada Mobile
12GB
GPU
RTX 2000 Ada
16GB
RTX
RTX 5090
32GB
RTX
RTX 5090 D
32GB
RTX
RTX 5090 Mobile
24GB
RTX
RTX 5080
16GB
RTX
RTX 5080 Mobile
16GB
RTX
RTX 5070
12GB
RTX
RTX 5070 Mobile
8GB
RTX
RTX 5070 Ti
16GB
RTX
RTX 5070 Ti Mobile
12GB
RTX
RTX 5060 Ti
16GB
RTX
RTX 5060
8GB
RTX
RTX 5060 Mobile
8GB
RTX
RTX 5050
8GB
RTX
RTX 5050 Mobile
8GB
RTX
RTX 4090
24GB
RTX
RTX 4090D
24GB
RTX
RTX 4090 Mobile
16GB
RTX
RTX 4080 SUPER
16GB
RTX
RTX 4080
16GB
RTX
RTX 4080 Mobile
12GB
RTX
RTX 4070
12GB
RTX
RTX 4070 Mobile
8GB
RTX
RTX 4070 Ti
12GB
RTX
RTX 4070 Super
12GB
RTX
RTX 4070 Ti Super
16GB
RTX
RTX 4060
8GB
RTX
RTX 4060 Ti
8GB
RTX
RTX 4090 Laptop
16GB
RTX
RTX 4080 Laptop
12GB
RTX
RTX 4070 Laptop
8GB
RTX
RTX 4060 Laptop
8GB
RTX
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6GB
OS
linux
Arch
x86_64