Helpful PyTorch Tutorials
August 25, 2026 · IntelliSensei Team
Install vLLM, serve a quantized open-weight model behind an OpenAI-compatible API, see continuous batching with a load test, tune max-num-seqs and KV cache, add metrics and scale.
Read moreAugust 25, 2026 · IntelliSensei Team
The toolchain work to do first, the API changes that actually break 1.x code, dead ecosystem pieces to replace, adding torch.compile safely, and a regression-testing strategy.
Read moreAugust 25, 2026 · IntelliSensei Team
TorchServe was archived in August 2025. Inventory your .mar handlers, choose between Triton, LitServe, ONNX Runtime and FastAPI, and cut over with parity tests.
Read moreAugust 25, 2026 · IntelliSensei Team
Cloud versus owned hardware, spot strategies that survive preemption, what a 7B fine-tune actually consumes, the budget lines teams forget, and when outside help is cheaper than compute.
Read moreAugust 25, 2026 · IntelliSensei Team
A complete, runnable QLoRA fine-tune of an 8B Llama model on one consumer GPU: data prep, 4-bit base plus LoRA adapters, evaluation, and export for vLLM.
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