Opti
    ncompass.sglang.llama.attn()

    Upto 3.5x Higher Throughput

    Drop-in replacement for torch.nn with model-specific optimizations

    Zero Migration

    Integrates with your existing inference engine stack

    Change one line of code in your existing framework and watch your code speedup

    vllm/model_executor/models/llama.py
    @@ -254,1 +61,2 @@
    ...
    -254self.mlp = LlamaMLP(
    +61import ncompass
    +254self.mlp = ncompass.vllm.llama.MLP(
    ...
    20%
    Throughput Improvement
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    Products

    License our optimized GPU kernels

    Tap into our library of optimized kernels to accelerate your deployment.

    • Works on any AI model
    • Bring your own custom AI model architecture
    • Works on any hardware backend

    Deploy a dedicated instance

    Let us manage your AI inference infrastructure

    • Dedicated: Deploy on our H100 GPUs
    • On-prem : Deploy on your infrastructure
    • We provide autoscaling, observability and more...

    Try us out on our API

    Run AI models without any rate limits

    • Limited set of optimized open source models
    • 40s cold starts for 8B and 70B
    • OpenAI compatible API interface