[Docs] Remove outdated statement about rendering speed being 10-1000x…

… faster compared to other sims. Isaac Lab recently supports parallel rendering as well now.

README.md

@@ -11,7 +11,7 @@
 [![Discord](https://img.shields.io/discord/996566046414753822?logo=discord)](https://discord.gg/x8yUZe5AdN)
 
 ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/), with a strong focus on manipulation skills. The entire tech stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
-- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU, 10-1000x faster compared to most other simulators.
+- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU!
 - GPU parallelized simulation, enabling high throughput state-based synthetic data collection in simulation
 - GPU parallelized heterogeneous simulation, where every parallel environment has a completely different scene/set of objects
 - Example tasks cover a wide range of different robot embodiments (humanoids, mobile manipulators, single-arm robots) as well as a wide range of different tasks (table-top, drawing/cleaning, dextrous manipulation)

docs/source/index.md

@@ -10,7 +10,7 @@
 [![Discord](https://img.shields.io/discord/996566046414753822?logo=discord)](https://discord.gg/x8yUZe5AdN)
 
 ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/), with a strong focus on manipulation skills. The entire tech stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
-- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU, 10-1000x faster compared to most other simulators.
+- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU!
 - GPU parallelized simulation, enabling high throughput state-based synthetic data collection in simulation
 - GPU parallelized heterogeneous simulation, where every parallel environment has a completely different scene/set of objects
 - Example tasks cover a wide range of different robot embodiments (humanoids, mobile manipulators, single-arm robots) as well as a wide range of different tasks (table-top, drawing/cleaning, dextrous manipulation)

docs/source/user_guide/index.md

@@ -10,7 +10,7 @@
 [![Discord](https://img.shields.io/discord/996566046414753822?logo=discord)](https://discord.gg/x8yUZe5AdN)
 
 ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/), with a strong focus on manipulation skills. The entire tech stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
-- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU, 10-1000x faster compared to most other simulators.
+- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU!
 - GPU parallelized simulation, enabling high throughput state-based synthetic data collection in simulation
 - GPU parallelized heterogeneous simulation, where every parallel environment has a completely different scene/set of objects
 - Example tasks cover a wide range of different robot embodiments (humanoids, mobile manipulators, single-arm robots) as well as a wide range of different tasks (table-top, drawing/cleaning, dextrous manipulation)

setup.py

@@ -3,7 +3,7 @@
 __version__ = "3.0.0b15"
 
 long_description = """ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/), with a strong focus on manipulation skills. The entire tech stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
-- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU, 10-1000x faster compared to most other simulators.
+- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU!
 - GPU parallelized simulation, enabling high throughput state-based synthetic data collection in simulation
 - GPU parallelized heteogeneous simuluation, where every parallel environment has a completely different scene/set of objects
 - Example tasks cover a wide range of different robot embodiments (humanoids, mobile manipulators, single-arm robots) as well as a wide range of different tasks (table-top, drawing/cleaning, dextrous manipulation)