Cloud Inference

MInference

Accelerates long-context LLM inference with dynamic sparse attention.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

MInference optimizes the inference process for Long-context Language Models by using approximate and dynamic sparse calculations to reduce latency up to 10x on an A100 GPU while maintaining accuracy, making it ideal for applications requiring fast response times without sacrificing precision.

MInference stands out by offering a unique approach to optimizing inference times for Long-context LLMs through dynamic sparse attention, providing up to 10x faster inference on A100 GPUs without sacrificing accuracy.

When it fits — and when it doesn’t

A good fit for

  • Teams developing real-time applications that require quick responses from Long-context LLMs on A100 GPUs.

  • Researchers optimizing inference times for their models without compromising accuracy.

Look elsewhere if

  • Projects with strict budget constraints as it requires specific hardware (A100 GPU) to achieve optimal performance.

  • Applications that do not require handling long-context inputs or where latency is less critical than cost.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for GPUs other than A100

    Optimizations are heavily tailored towards NVIDIA A100, leading to suboptimal performance on other GPU architectures.

  2. 02

    Complex setup process

    Requires manual configuration of sparse attention parameters and integration with existing model pipelines can be challenging without extensive documentation.

  3. 03

    Poor documentation for advanced use cases

    Lack of detailed guides on how to optimize MInference for specific long-context models, making it difficult for users to achieve optimal performance.

  4. 04

    Small and potentially inactive community

    GitHub activity is low with few contributors and limited user feedback or support available online.

What it does well

  • Dynamic sparse attention calculation for reduced latency

  • Maintains accuracy while speeding up inference

  • Optimized for A100 GPUs

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up MInference

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →