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FastMCP Is Now MCPServer: Migrating a Python MCP Server to the MCP SDK 2.x
xbill profile

FastMCP Is Now MCPServer: Migrating a Python MCP Server to the MCP SDK 2.x

#mcp #python #googlecloud #vllm
10
Comments 3
12 min read
KV Cache on 16 GB GPUs: Making Long Context Actually Fit
rosgluk profile
Rost

KV Cache on 16 GB GPUs: Making Long Context Actually Fit

#llm #llamacpp #vllm #ollama
Comments 1
22 min read
From adapter to deployment: merging LoRA weights and serving with vLLM or a Space
pranjulrathour profile

From adapter to deployment: merging LoRA weights and serving with vLLM or a Space

#finetuning #deployment #vllm #serving
Comments
3 min read
Inside vLLM: Following One Request from the API to GPU Execution
yuan_lei_e631e36865ed370b profile

Inside vLLM: Following One Request from the API to GPU Execution

#vllm #llm #inference #python
1
Comments 2
24 min read
vLLM v0.28.0: the breaking change small GPU users must read
induwara_ashinsana_9e4d5b profile

vLLM v0.28.0: the breaking change small GPU users must read

#vllm #llminference #opensource
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5 min read
Installing Rust for vLLM on Graviton: a G5g walk-through 🦀
xbill profile

Installing Rust for vLLM on Graviton: a G5g walk-through 🦀

#rust #vllm #aws #cuda
Comments
10 min read
Ollama to vLLM: When to Migrate Your Local LLM Server
rosgluk profile
Rost

Ollama to vLLM: When to Migrate Your Local LLM Server

#ollama #vllm #llm #ai
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15 min read
Deploying Inference Using NVIDIA Dynamo and vLLM
sharmukh profile

Deploying Inference Using NVIDIA Dynamo and vLLM

#nvidia #vllm #llm #gpu
11
Comments
8 min read
The unofficial TPU migration guide: Cloud TPU API to Compute Engine
xbill profile

The unofficial TPU migration guide: Cloud TPU API to Compute Engine

#tpu #gcp #vllm #devops
6
Comments 2
17 min read
The Cheapest CUDA GPU on AWS Has an Arm CPU — and You Probably Want the Intel One
xbill profile

The Cheapest CUDA GPU on AWS Has an Arm CPU — and You Probably Want the Intel One

#aws #vllm #cuda #machinelearning
3
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11 min read
Self-Hosted Gemma 4 on TPU v6e: Deployment & SRE with Antigravity
xbill profile

Self-Hosted Gemma 4 on TPU v6e: Deployment & SRE with Antigravity

#tpu #llm #vllm #antigravity
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8 min read
DGX Spark (GB10) bare-metal vLLM: the install that works, two landmines, measured timings
conatusai profile
Jahn

DGX Spark (GB10) bare-metal vLLM: the install that works, two landmines, measured timings

#nvidia #llm #gpu #vllm
1
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2 min read
What 90% Line-Rate Utilization on a Single 100GbE Port Means: Analyzing Network Bottlenecks in Inference Storage
mingxintech profile

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

#kvcache #lmcache #vllm #ai
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5 min read
Batched inference by hand
lewis_won profile

Batched inference by hand

#llm #inference #batching #vllm
3
Comments
20 min read
Serving Gemma 4 E2B on a TPU v6e-1: what Trillium buys, and what it doesn't
xbill profile

Serving Gemma 4 E2B on a TPU v6e-1: what Trillium buys, and what it doesn't

#tpu #vllm #llm #gcp
2
Comments
20 min read
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