GatlingX ♨️ | GPU-EVM, 100x EVM (@gatling_x) 's Twitter Profile
GatlingX ♨️ | GPU-EVM, 100x EVM

@gatling_x

GPU-EVM | Most Performant parallel-EVM in the world by 100x
linktr.ee/gatling_x
🔨Hiring: shorturl.at/cqST7

ID: 1749633019491799040

linkhttp://linktr.ee/gatling_x calendar_today23-01-2024 03:20:05

32 Tweet

1,1K Followers

3 Following

dtheo (@infosecual) 's Twitter Profile Photo

Reinforcement Learning (RL) guided fuzzing is an idea that I have been excited about for a very long time. I believe this will finally close the theory <-> practice gap that has plagued AI based Security Research. Just one of the many applications of @gatling_x. Awesome stuff!

Eito Miyamura | 🇯🇵♨️ (@eito_miyamura) 's Twitter Profile Photo

What are some benchmarks you'd like to see included in the GPU-EVM technical report? Already have a few stuff down like latency, unit economics, etc but would like to hear what else is important to people!

DeGatchi (@degatchi) 's Twitter Profile Photo

On Scraping Bits Podcast, I talked to Eito Miyamura | 🇯🇵♨️ about: ♨️ GatlingX ♨️ | GPU-EVM, 100x EVM's EVM-GPU; 100x faster EVM! 🤖 Reinforcement learning and how it applies to crypto infosec 👨‍🔧 Using GPU to parallelize fuzzing simulations ⁉️ And so much more... Out now! open.spotify.com/episode/2uuQGj…

Eito Miyamura | 🇯🇵♨️ (@eito_miyamura) 's Twitter Profile Photo

One of the application I'm excited about with GPU-EVM from GatlingX ♨️ | GPU-EVM, 100x EVM is the ability to do Monte Carlo Tree Search (MCTS) extremely quickly (Using the 100x exe. capability) This allows you to "look many moves ahead" and give you far better capability to look into the future

One of the application I'm excited about with GPU-EVM from <a href="/Gatling_X/">GatlingX ♨️ | GPU-EVM, 100x EVM</a> is the ability to do Monte Carlo Tree Search (MCTS) extremely quickly (Using the 100x exe. capability)

This allows you to "look many moves ahead" and give you far better capability to look into the future
Eito Miyamura | 🇯🇵♨️ (@eito_miyamura) 's Twitter Profile Photo

Interested in pushing the foundations for the new age of exponential GPU computing, away from (dead) Moore's law? Good at GPUs / RL / symbolic solvers? We're hiring at @Gatling_x: shorturl.at/cqST7 Together, we will solve the hardest problems too hard for others to solve

Interested in pushing the foundations for the new age of exponential GPU computing, away from (dead) Moore's law? Good at GPUs / RL / symbolic solvers?

We're hiring at @Gatling_x: shorturl.at/cqST7

Together, we will solve the hardest problems too hard for others to solve
Eito Miyamura | 🇯🇵♨️ (@eito_miyamura) 's Twitter Profile Photo

🧵RL REQUIRES GPU-PARALLELISED SIMULATION: GPU-parallel sim env like GPU-EVM by GatlingX ♨️ | GPU-EVM, 100x EVM is critical for RL e.g. in NVIDIA Isaac Gym, a GPU-parallelised sim env, see the crazy speedup you get just by simulating robots on GPU. What does this hint about next phase of AI?

🧵RL REQUIRES GPU-PARALLELISED SIMULATION:

GPU-parallel sim env like GPU-EVM by <a href="/Gatling_X/">GatlingX ♨️ | GPU-EVM, 100x EVM</a> is critical for RL

e.g. in NVIDIA Isaac Gym, a GPU-parallelised sim env, see the crazy speedup you get just by simulating robots on GPU.

What does this hint about next phase of AI?
GatlingX ♨️ | GPU-EVM, 100x EVM (@gatling_x) 's Twitter Profile Photo

👀👀 ♨️Sneak Peak of our 100x GPU-EVM parallel EVM computation through deep complex search spaces The computation is happening so fast, that the console output is bottle-necking the results (around 25x slowdown) ♨️more details soon...