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FP16

precision
Also known as: Half Precision, Float16

Definition

16-bit floating-point precision format (half precision). Commonly used in AI training and inference to reduce memory usage and increase throughput compared to FP32. Provides adequate precision for most neural network operations.

GPUs featuring FP16

Huawei Ascend 970

Da Vinci v5 · 2028 · 288 GB

Huawei Ascend 960

Da Vinci v4 (chiplet) · 2027 · 288 GB

NVIDIA Rubin

Rubin · 2026 · 288 GB

NVIDIA Vera Rubin

Rubin · 2026 · 576 GB

Huawei Ascend 950DT

Da Vinci v3 · 2026 · 144 GB

Huawei Ascend 950PR

Da Vinci v3 · 2026 · 128 GB
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Related Terms

BF16

Brain Float 16 - A 16-bit floating-point format developed by Google with the sam...

FP8

8-bit floating-point precision format introduced in Hopper architecture. Enables...

Tensor Cores

Specialized processing units in NVIDIA GPUs designed to accelerate matrix multip...

More precision Terms

TF32

TensorFloat-32 - A 19-bit precision format introduced with NVIDIA Ampere archite...

BF16

Brain Float 16 - A 16-bit floating-point format developed by Google with the sam...

FP8

8-bit floating-point precision format introduced in Hopper architecture. Enables...

Explore More Terms

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