Performance
torch.compile in PyTorch 2.5: Where the Speedup Comes From and Where It Disappears
PyTorch 2.5 made torch.compile good enough that you can drop it into a real training script and expect a speedup most of the time.
How to Convert PyTorch Models to ONNX Format for Faster Inference
I remember the first time I deployed a PyTorch model to production. I wrapped a beautifully trained ResNet model in a Flask API, spun up a Docker.
Dask’s Active Memory Manager Finally Stopped Breaking My Pipelines
I used to dread the Slack notification. You know the one. The little red dot popping up at 7:30 AM telling me my overnight batch job failed.
How I Cut FLUX.1 Inference to 3 Seconds with TensorRT
I was staring at my terminal at 1:30 AM last Thursday, watching my RTX 4090 scream at 98% utilization while spitting out a single 1024×1024 image every 15.
TensorRT Just Fixed Local Image Generation
Running modern, heavy diffusion models locally has felt like trying to stuff a mattress into a compact car for months now. You Learn about TensorRT News.
Mastering Tensorflow News: Advanced Techniques and Best Practices for Modern Developers
Introduction to Tensorflow News In today’s rapidly evolving technological landscape, TensorFlow News has emerged as a critical skill for developers.
Ditching Heavy Transformers for Static Embeddings
Well, I have to admit, I actually stumbled upon this solution by accident. There I was, staring at our AWS bill at 2am last Tuesday, trying to figure out.
Local Inference is Finally Good (Thanks, TensorRT)
I spent the better part of yesterday fighting with a Docker container that refused to see my GPU. You know the drill.
Production AI Is Hell: My Love-Hate Relationship With Triton
Well, I have to admit, I was staring at a Grafana dashboard at 11:30 PM on a Tuesday when I finally admitted defeat.
Optuna’s New Rust Storage Backend Is Absurdly Fast
Actually, I should clarify – I spent three hours last Tuesday staring at a progress bar that simply refused to move. You know the feeling.