AI Infrastructure & MLOps Free

FlashInfer

Open-source GPU kernel library for high-performance large-model inference

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PricingFree
Starting price$0 software
Free planYes
Free trialYes
APINo
Open sourceYes
DeploymentSelf Hosted
Last verifiedAugust 1, 2026
Overview

Tool overview

FlashInfer is listed under AI Infrastructure & MLOps AI tools.

Summary

What is FlashInfer?

FlashInfer is an Apache-2.0 library and kernel generator for large-model inference. It provides unified APIs for attention, GEMM, MoE, sampling, KV-cache operations, autotuning, tracing, and multiple GPU backends, with Python packages and support across NVIDIA architectures from Turing through Blackwell.

Best fit

Best for

Inference engineers optimizing GPU kernels for large-model serving

Audience

Who is it for?

Inference systems engineersCUDA developersLLM serving teamsMachine-learning infrastructure researchers
Recommendation

Decision note

Accepted for Preview after independent V411 official-source research. Apply only after failures = 0, warnings = 0, unmapped = 0, and review of controlled fields, Arabic v2 parity, outreach, affiliate status, logo QA, rebrand handling, and explicit clears.

Capabilities

Key features

Attention, GEMM, MoE, and sampling kernels

Multiple CUDA and inference backends

Python API, CLI, and kernel generation

Support from Turing through Blackwell GPUs

Workflows

Use cases

Accelerating LLM serving

Optimizing attention and KV cache

Building custom inference kernels

Integrating kernels into serving engines

Strengths

Pros

  • Free under Apache-2.0
  • Broad GPU architecture support
  • Used by major serving frameworks
Considerations

Limitations

FlashInfer is a low-level library, not a hosted model service. Performance and correctness depend on CUDA, PyTorch, GPU architecture, shapes, precision, and serving integration. Teams should benchmark, validate numerics, pin versions, and test fallbacks before deployment.

Cost

Pricing details

Pricing modelFree
Starting price$0 software
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source softwareExternal GPU and infrastructure costs
Pricing context

Pricing note

FlashInfer is free open-source software under Apache-2.0. There is no hosted subscription or product trial. GPU hardware, cloud instances, engineering, compilation, storage, and serving infrastructure are separate costs.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

PyTorch

FlashAttention-2

FlashAttention-3

cuDNN

CUTLASS

TensorRT-LLM

SGLang

vLLM

Specs

Technical details

PlatformsDesktop
Multilingual supportUnknown
Login requiredNo
Open sourceYes
LicenseApache-2.0
DeploymentSelf Hosted
CompanyFlashInfer community
Launch year2023
Current version0.6.15
Models / versionsAttention kernels GEMM kernels MoE kernels Sampling kernels
Editions / plansflashinfer-python flashinfer-cubin flashinfer-jit-cache
Data confidenceHigh
Last verifiedAugust 1, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

FlashInfer is an Apache-2.0 library and kernel generator for large-model inference. It provides unified APIs for attention, GEMM, MoE, sampling, KV-cache operations, autotuning, tracing, and multiple GPU backends, with Python packages and support across NVIDIA architectures from Turing through Blackwell.
Inference engineers optimizing GPU kernels for large-model serving
The listed pricing model for FlashInfer is Free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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