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Gemma 4 on Amazon SageMaker: The NVIDIA T4 Decodes at 0.8x of the L4 With the Same Answers
xbill profile

Gemma 4 on Amazon SageMaker: The NVIDIA T4 Decodes at 0.8x of the L4 With the Same Answers

#aws #sagemaker #gemma #vllm
15
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9 min read
Gemma 4 on Amazon SageMaker: 4-Bit Embeddings Decode up to 1.39x Faster on One L4
xbill profile

Gemma 4 on Amazon SageMaker: 4-Bit Embeddings Decode up to 1.39x Faster on One L4

#aws #sagemaker #gemma #vllm
1
Comments
11 min read
Gemma 4 on Amazon SageMaker or a VM? The Same Model Server at 1.40x the Price
xbill profile

Gemma 4 on Amazon SageMaker or a VM? The Same Model Server at 1.40x the Price

#aws #sagemaker #gemma #vllm
1
Comments
8 min read
Gemma 4 on a Tesla T4, Part 3: Int4 Embeddings Serve E2B in 2.86 GiB at 2.30x bf16
xbill profile

Gemma 4 on a Tesla T4, Part 3: Int4 Embeddings Serve E2B in 2.86 GiB at 2.30x bf16

#gemma #vllm #cuda #machinelearning
9
Comments
11 min read
Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4
xbill profile

Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4

#aws #sagemaker #gemma #vllm
Comments
9 min read
Gemma 4 on Amazon SageMaker: The NVIDIA T4 Decodes at 0.8x of the L4 With the Same Answers
xbill profile

Gemma 4 on Amazon SageMaker: The NVIDIA T4 Decodes at 0.8x of the L4 With the Same Answers

#aws #sagemaker #gemma #vllm
1
Comments
9 min read
Run vLLM on Kubernetes with Minikube, WSL2 and NVIDIA GPU
vishnuhd profile

Run vLLM on Kubernetes with Minikube, WSL2 and NVIDIA GPU

#ai #localllm #vllm #kubernetes
Comments
13 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
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
Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4
xbill profile

Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4

#aws #sagemaker #gemma #vllm
7
Comments
9 min read
Gemma 4 on a Tesla T4, Part 2: The Minimum GCE VM and a Script to Drive It
xbill profile

Gemma 4 on a Tesla T4, Part 2: The Minimum GCE VM and a Script to Drive It

#gemma #vllm #gcp #cuda
13
Comments
13 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
Comments
5 min read
Serving Gemma 4 on an AMD MI300X: What $1.99 an Hour Buys

Real-world benchmarks and MCP tool management tips
xbill profile

Serving Gemma 4 on an AMD MI300X: What $1.99 an Hour Buys

#amd #vllm #rocm #machinelearning
14
Comments 7
9 min read
Can vLLM Run GGUF? Yes — on GPU Only
mrsaynothing profile

Can vLLM Run GGUF? Yes — on GPU Only

#ai #llm #gguf #vllm
1
Comments 1
4 min read
Gemma 4 on a Tesla T4: QAT Weights Decode 1.79x Faster Than bf16
xbill profile

Gemma 4 on a Tesla T4: QAT Weights Decode 1.79x Faster Than bf16

#gemma #vllm #cuda #machinelearning
8
Comments 1
9 min read
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