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TF32

precision
Also known as: TensorFloat32, Tensor Float 32

Definition

TensorFloat-32 - A 19-bit precision format introduced with NVIDIA Ampere architecture. Combines the range of FP32 with reduced precision, providing up to 10x speedup for AI training without code changes. Automatically used by Tensor Cores for matrix operations.

GPUs featuring TF32

NVIDIA Rubin

Rubin · 2026 · 288 GB

NVIDIA Vera Rubin

Rubin · 2026 · 576 GB

NVIDIA B200

Blackwell · 2025 · 180 GB

AMD Instinct MI325X

CDNA 3 · 2025 · 256 GB

NVIDIA B300

Blackwell Ultra · 2025 · 288 GB

NVIDIA GB300

Blackwell Ultra · 2025 · 252 GB
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Related Terms

Tensor Cores

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

BF16

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

More precision Terms

FP16

16-bit floating-point precision format (half precision). Commonly used in AI tra...

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...

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