Affordable Cloud GPUs To The Rescue

Ever tried running something computationally heavy on your laptop, only to hear the fans screaming louder than your inner doubts? It’s like watching your laptop slowly morph into a space heater—functional, but at what cost?

Running heavy computations like AI/ML tasks, reinforcement learning simulations, or even dataset processing can really push your hardware to the edge (literally, sometimes it sounds like it’s about to take off).

Enters Salad - The Most Affordable Cloud for AI/ML Inference at Scale.
It promises high-performance GPUs at a fraction of the cost of AWS, or Google Cloud. No need to buy expensive GPUs or risk frying your hardware. You just rent what you need, when you need it.

It sounds great? But here’s my question: what’s the catch?

What happens if your internet connection fails mid-task? Do your results freeze, crash, or just vanish into the digital abyss?

How about latency? Imagine training a robotics simulation where every delay makes your model learn something hilariously useless—like how to moonwalk instead of navigating paths.

Are there hidden costs? It looks affordable on the surface, but I'm not ready to surprise my wallet.

For those who haven’t explored cloud GPUs yet, this might be worth looking into. Happy to say, I'll be planning my upcoming projects without worrying about the computational issues.

https://salad.com/