GPU Python packages
that just install.

Pre-built CUDA wheels for flash-attn, triton, xformers, and more. One pip command. No compiling.

bash
$ pip install flash-attn \
--extra-index-url https://ew_xxx:@easywheels.io/simple/
Collecting flash-attn
Downloading flash_attn-2.7.0-cp312-cu124-linux_x86_64.whl (48.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.2/48.2 MB 3.2s
Successfully installed flash-attn-2.7.0
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flash-attn triton xformers bitsandbytes vllm deepspeed apex mamba-ssm causal-conv1d flash-attn-hopper megablocks grouped-gemm flash-attn triton xformers bitsandbytes vllm deepspeed apex mamba-ssm causal-conv1d flash-attn-hopper megablocks grouped-gemm
The Problem

You know the drill.

45+ minutes

Average compile time for flash-attn from source. Per environment. Per CUDA version.

CUDA mismatch

Wrong toolkit version? Incompatible driver? Start over from scratch.

cmake errors

Missing headers, broken builds, cryptic C++ template errors three screens long.

Every ML developer has lost an afternoon to this. We built EasyWheels so you never have to again.

How It Works

Built by ML engineers,
for ML engineers.

01

Add our index

$ pip install flash-attn \
--extra-index-url https://YOUR_KEY:@easywheels.io/simple/

One-time setup. Works with any pip workflow.

02

Install as usual

$ pip install flash-attn

We auto-detect your Python version, CUDA toolkit, and GPU architecture.

03

Done in seconds

✓ flash-attn 2.7.0 installed (3.2s)

Pre-compiled wheel. No cmake. No waiting.

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Pricing

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  • Unlimited downloads
  • Custom build requests
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Then 3 buffer downloads after trial

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  • Unlimited downloads
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  • Unlimited downloads
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Or pay per download — $2/wheel, no subscription needed.