Local LLM Inference Optimizer

Name: Local LLM Inference Optimizer
Brand: Wishdeal Factory
Availability: InStock

Benchmark, profile, and optimize your local LLM inference on consumer GPUs. Get token/sec gains without the cloud costs.

GPU OPTIMIZATION DASHBOARD

Why Optimize Local Inference?

Real Hardware Benchmarks

See actual token/sec rates on RTX 4090, 5080, 3090, and consumer cards. No synthetic numbers.

Find Your Optimal Config

Batch size, quantization level, context window tuning. Automated recommendations based on your hardware.

Eliminate Guesswork

Stop trying random flags. Profiler shows exactly where your bottleneck is: compute, memory, or bandwidth.

Compare Models Fast

Run Qwen, Llama, Mixtral side-by-side on YOUR GPU. See which model actually fits your use case.

Real Benchmark Data

Collected from community runs on actual hardware:

Model	GPU	Batch Size	Quant	Tokens/sec	VRAM Used
Llama 70B	RTX 5080	4	Q4_K_M	92 tok/sec	38 GB
Qwen 27B	RTX 4090	8	Q5_K_M	156 tok/sec	24 GB
Mixtral 8x7B	RTX 3090 (2x)	2	BF16	48 tok/sec	45 GB
Llama 8B	RTX 4070	16	Q3_K_S	204 tok/sec	12 GB

How It Works

Three steps to optimal inference:

Connect your rig. Point the profiler at your local LLM server. It auto-detects GPU, VRAM, and current model.
Run auto-tune. The optimizer sweeps batch size, quantization, and context configs. Profiles each combo for 2 minutes.
Get recommendations. See which config gives you best throughput, latency, or VRAM balance. Export as JSON or environment vars.

Example: Before & After

Before (Default Config)

batch_size=1
quantization=none
context=2048

↓ Result
tokens/sec: 34
VRAM: 48 GB
Latency: 29 ms

After (Optimized)

batch_size=8
quantization=Q4_K_M
context=8192

↓ Result
tokens/sec: 94 (+176%)
VRAM: 22 GB
Latency: 8.5 ms

Get Started in 2 Minutes

pip install llm-optimizer

llm-optimizer --connect localhost:5000 \
  --model llama-70b-q4 \
  --gpu-count 1 \
  --target throughput

Then open http://localhost:8080 to see real-time profiling and tuning recommendations.

Ready to Optimize?

Built for developers squeezing more tokens per dollar from their GPUs.

View on GitHub Read the Docs

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