@ParamSiddh: As an AI Infrastructure Engineer. Please learn: - GPU/VRAM fundamentals, quantization & batching - vLLM / TensorRT-LLM …
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A tweet listing essential skills for AI infrastructure engineers, covering GPU fundamentals, inference optimization, distributed training, and production deployment.
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Cached at: 07/02/26, 10:20 AM
As an AI Infrastructure Engineer.
Please learn:
- GPU/VRAM fundamentals, quantization & batching
- vLLM / TensorRT-LLM / inference optimization
- KV caching, speculative decoding & token throughput
- Distributed training basics (DDP/FSDP/DeepSpeed)
- Model serving & autoscaling
- Vector DB retrieval pipelines
- Prompt caching & cost optimization
- Observability for LLM apps
This is what production AI teams actually care about.
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