diff --git a/README.md b/README.md
index 9e996bf..c092366 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@ Paper: https://arxiv.org/abs/2205.14135
 
 ## Alpha release (0.1).
 
-To compile (requiring CUDA 11, NVCC, and an Ampere GPU):
+To compile (requiring CUDA 11, NVCC, and an Turing or Ampere GPU):
 ```
 python setup.py install
 ```
@@ -22,7 +22,7 @@ PYTHONPATH=$PWD python benchmarks/benchmark_flash_attention.py
 ```
 
 FlashAttention currently supports:
-1. Ampere GPUs (e.g., A100, RTX 3090).
+1. Turing or Ampere GPUs (e.g., A100, RTX 3090, T4, RTX 2080).
 2. fp16.
 3. Head dimensions 16, 32, 64.
 
@@ -30,7 +30,7 @@ Our tentative roadmap:
 1. [Jun 2022] Make package pip-installable.
 2. ~~[Jun 2022] Support SM86 GPUs (e.g., RTX 3080, 3090)~~[Done].
 3. [Jun 2022] Refactor to use Cutlass.
-4. [Jun 2022] Support SM75 GPUs (e.g. T4).
+4. ~~[Jun 2022] Support SM75 GPUs (e.g. T4)~~[Done].
 5. [Jun 2022] Support bf16.
 6. [Jul 2022] Support head dimension 128.
 7. [Jul 2022] Support SM70 GPUs (V100).