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Sanskriti HarmukhSep 3, 2026 • 8 min read
Deploying Inference Using NVIDIA Dynamo and vLLM
NVIDIA Dynamo is an open-source, high-throughput, low-latency inference framework for deploying...
#nvidia#vllm#llm#gpu
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xbillAug 31, 2026 • 11 min read
The Cheapest CUDA GPU on AWS Has an Arm CPU — and You Probably Want the Intel One
Gemma 4 E2B on the two cheapest whole-GPU CUDA instances AWS sells. Same Turing GPU, different host ...
#aws#vllm#cuda#machinelearning
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Induwara AshinsanaAug 30, 2026 • 5 min read
vLLM v0.28.0: the breaking change small GPU users must read
vLLM v0.28.0 moved bitsandbytes to an out-of-tree plugin and doubled a memory-hungry default. Here i...
#vllm#llminference#opensource
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Jangwook KimSep 3, 2026 • 8 min read
From Notebook to Production SLA: Running vLLM on Kubernetes with the Production Stack
A practitioner's guide to moving vLLM from a single-GPU notebook demo to a Kubernetes deployment wit...
#vllm#kubernetes#inferenceserving#sla
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AI ExploreAug 31, 2026 • 6 min read
vLLM: The Open-Weight AI Inference Server Built for Production LLM Serving — Day 11/30
PagedAttention and continuous batching turned GPU memory into a market. Here's the capacity-planning...
#ai#llm#opensource#vllm
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