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Serving Gemma4 with Rust on vLLM 🦀

This tutorial walks through installing and setting up the Rust toolchain for vLLM on an AWS EC2 G5g instance — Graviton2 (aarch64) with an NVIDIA T4…

rustvllmawscuda
Dev.to Aug 14, 2026, 20:43 UTC
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Installing Rust for vLLM on Graviton: a G5g walk-through 🦀

This tutorial walks through installing and setting up the Rust toolchain for vLLM on an AWS EC2 G5g instance — Graviton2 (aarch64) with an NVIDIA T4…

rustvllmawscuda
Dev.to Aug 14, 2026, 20:37 UTC
EN

Running Gemma 4 on EC2 G5g: Graviton2 AMD with NVIDIA GPU

A field report on serving Google's Gemma 4 E2B on AWS EC2 **G5g * — a Graviton2 (aarch64) host with an NVIDIA T4G (Turing, SM 7.5) GPU. Three obstac…

awsvllmcudamachinelearning
Dev.to Aug 13, 2026, 18:45 UTC
EN

Self-hosting a lite agent backend on one TPU: Gemma 4 E2B + vLLM on a v5e-1

Self-hosting a lite agent backend on one TPU chip A single Google Cloud TPU v5e chip — 16 GB of HBM, about $0.58/hour on spot — will serve google/ge…

tpuvllmllmgcp
Dev.to Aug 9, 2026, 22:14 UTC
EN

Kimi K3 Open Weights Are Here: How to Self-Host the 2.8T-Parameter Model (Hardware, vLLM, and Data Sovereignty)

Kimi K3 Open Weights Are Here: How to Self-Host the 2.8T-Parameter Model On July 27, 2026, Moonshot AI released the open weights for Kimi K3 -- a 2.…

kimik3openweightsselfhostaivllm
Dev.to Jul 27, 2026, 05:47 UTC
EN

What 90% Line-Rate Utilization on a Single 100GbE Port Means: Analyzing Network Bottlenecks in Inference Storage

In LLM inference clusters, the core bottleneck for KV Cache storage acceleration often lies not in the storage medium itself, but in network bandwid…

kvcachelmcachevllmai
Dev.to Jul 22, 2026, 18:01 UTC
EN

Gemma 4 E2B on a Single TPU v6e Chip: A Serving Deep Dive

Measured 2026-07-21 on vllm/vllm-tpu:nightly (vLLM 0.23.1rc1.dev1076), a GCE flex-start ct6e-standard-1t (one TPU v6e chip, 32 GB HBM) in europe-wes…

tpullmvllmgooglecloud
Dev.to Jul 21, 2026, 03:48 UTC
EN

Does a Second GPU Increase Ollama's Context Window? (Quadro P2000 + RTX 3090 Tested)

TL;DR Short version: no. I dropped a much older GPU ( Quadro P2000, 5GB, Pascal, 2016 ) next to an RTX 3090 (24GB, Ampere) on the same box, ran the…

llmollamavllmgpu
Dev.to Jul 9, 2026, 12:37 UTC
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Qwen3.6-35B NVFP4 runs on one H100 — A100 owners are out

NVIDIA published nvidia/Qwen3.6-35B-A3B-NVFP4 on May 28, 2026 — a post-training FP4-quantized variant of Alibaba's 35B MoE model that fits on a sing…

qwen3nvfp4vllmnvidia
Dev.to Jun 18, 2026, 10:37 UTC
EN

I built an open-source alternative to Microsoft's KAITO that works on ANY Kubernetes cluster

Six months ago, my team needed to deploy DeepSeek-R1 for internal use. We have a Kubernetes cluster — like everyone does in 2026 — so I started look…

kubernetesvllmdevopsopensource
Dev.to Jun 9, 2026, 05:17 UTC
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Prefix caching at scale: when it saves you 80% of prefill cost, and the eviction policies that quietly turn it into 5%

Prefix caching at scale: when it saves you 80% of prefill cost, and the eviction policies that quietly turn it into 5% Your chatbot deploys 70B Llam…

llmaiinfrastructurevllm
Dev.to Jun 7, 2026, 01:09 UTC
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KV cache quantization: what FP8/INT8 K and V actually buy you, and where they break

KV cache quantization: what FP8/INT8 K and V actually buy you, and where they break You just deployed a 70B Llama fine-tune on 8x H100s, and your se…

llmaivllmperformance
Dev.to Jun 6, 2026, 01:10 UTC
EN

Ollama vs llama.cpp vs vLLM: Which Should You Use in 2026?

From the Best GPU for LLM archive. The canonical version has interactive calculators, an up-to-date GPU comparison table, and live pricing. Three to…

ollamallamacppvllmcomparison
Dev.to May 20, 2026, 01:14 UTC

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