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PyTorch model runs 170x slower on T4 vs A100 GPU

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/MachineLearning subreddit is experiencing a significant performance bottleneck with a PyTorch model. The model runs approximately 170 times slower on an NVIDIA T4 GPU compared to an A100 GPU. The user has already ruled out common issues such as GPU utilization, incorrect device placement, and CUDA backend settings. The model architecture involves 4D correlation volumes and transformer layers, executed in pure FP32 precision. AI

IMPACT Investigating performance differences between GPU architectures can inform optimal hardware choices for AI model deployment.

RANK_REASON User query about performance bottleneck with specific hardware and software.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

PyTorch model runs 170x slower on T4 vs A100 GPU

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User query about performance bottleneck with specific hardware and software.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
118 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Future-Structure-296 ·

    PyTorch model running 170x slower on T4 vs A100. What could cause a bottleneck this extreme? [D]

    <!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>Seeing a ~170× slowdown running a point-tracking model on an NVIDIA T4 compared to an A100. On A100 the tracker takes ~0.5 seconds per half-video. On T4 the same call takes ~85 seconds. Video is 47 frames at 256×256, batch 1.…

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