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Can a QAT 12B Fit an 8 GB GPU? Gemma 4 12B on an RTX 3050

Can a QAT 12B Fit an 8 GB GPU? Gemma 4 12B on an RTX 3050

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15 min read
Zero-Cloud AI Code Review: Connecting Self-Hosted GitLab to Local CUDA LLM Runtimes

Zero-Cloud AI Code Review: Connecting Self-Hosted GitLab to Local CUDA LLM Runtimes

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4 min read
Reverse-Engineering NVIDIA: Modifying a CUDA binary

Reverse-Engineering NVIDIA: Modifying a CUDA binary

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4 min read
Gemma 4 at Over 70 Tokens/s on a 2021 Laptop's 4 GB GPU: The Live Demo, Step by Step

Gemma 4 at Over 70 Tokens/s on a 2021 Laptop's 4 GB GPU: The Live Demo, Step by Step

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Comments 2
12 min read
Gemma 4 on a Tesla T4, Part 3: Int4 Embeddings Serve E2B in 2.86 GiB at 2.30x bf16

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

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11 min read
A 4 GB Laptop GPU vs a 6-Core CPU on Gemma 4, Re-Measured in ABBA Order: 4.1x

A 4 GB Laptop GPU vs a 6-Core CPU on Gemma 4, Re-Measured in ABBA Order: 4.1x

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

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

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13 min read
Finding a Random Island with Geometry and CUDA

Finding a Random Island with Geometry and CUDA

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

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

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9 min read
Same nvJPEG2000, different numbers: timer boundaries and frames in flight

Same nvJPEG2000, different numbers: timer boundaries and frames in flight

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13 min read
Qwen3.8 27B at 256K: 50 TPS on a 24 GB GPU

Qwen3.8 27B at 256K: 50 TPS on a 24 GB GPU

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11 min read
Understanding GPU Memory: VRAM, Bandwidth, and Why Your Model Won't Fit

Understanding GPU Memory: VRAM, Bandwidth, and Why Your Model Won't Fit

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2 min read
Gemma 4 on an 2021 4 GB Laptop GPU: QAT Takes It From 9.5 GiB to 1.6

Gemma 4 on an 2021 4 GB Laptop GPU: QAT Takes It From 9.5 GiB to 1.6

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13 min read
The sm_120 shared-memory cliff: why FP8 KV cache crashes vLLM on workstation Blackwell

The sm_120 shared-memory cliff: why FP8 KV cache crashes vLLM on workstation Blackwell

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3 min read
g5g vs g6 for LLM Serving: the Same Code, and 3.7x the Throughput

g5g vs g6 for LLM Serving: the Same Code, and 3.7x the Throughput

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Comments 2
6 min read
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