Signed in
We value your privacy
This site uses cookies to improve your browsing experience, analyze site traffic, and show personalized content.
Welcome to Pump.fun!
Pump lets anyone create coins, giving everyone equal access to buy and sell from the start. Prices can move quickly, so trade carefully.
By clicking this button, you agree to the Terms and Conditions, Privacy Policy, and certify that you are over 18 years old.
We value your privacy
This site uses cookies to improve your browsing experience, analyze site traffic, and show personalized content.
Paired with SOLWe call our new hardware a sampling unit, not a processing unit, because TSUs perform an entirely different type of operation than CPUs and GPUs. Instead of processing a series of programmable deterministic computations, TSUs produce samples from a programmable distribution. Running a generative AI algorithm fundamentally comes down to sampling from some complicated probability distribution. Modern AI systems do a lot of matrix multiplication to produce a vector of probabilities, and then sample from that. Our hardware skips the matrix multiplication and directly samples from complex probability distributions. Specifically, TSUs sample from energy-based models, which are a type of machine learning model that directly define the shape of a probability distribution via an energy function. The inputs to a TSU are parameters that specify the energy function of an EBM, and the outputs of a TSU are samples from the defined EBM. To use a TSU for machine learning, we fit the parameters of the energy function so that the EBM running on the TSU is a good model of some real-world data.
