Why Everyone's Talking About Crypto Payments in 2025

Your 4060 Ti with 16 GB is perfect for 1080p gaming and light AI work—extra memory really helps with things like Stable Diffusion or small LLMs. The RTX 5060’s GDDR7 is faster, but 8 GB can fill up quickly under those loads. AMD’s new RX 7600/7700 cards with 12–16 GB and better ROCm support might be a solid non-Nvidia option.

I’m using ONNX Runtime with 4-bit quantization on a Raspberry Pi 4. I preload the quantized model into shared memory so multiple processes can reuse it. Evict old sessions by LRU when I hit a 1 GB RAM cap. For batching, I accumulate inputs over 50 ms to boost throughput without hurting latency. So far I get ~15 RPS on a 7 B Llama 2 model.

Ask HN: Nvidia GeForce RTX 5060 arrives May 19 at $299 revive PC builds?

Nvidia just announced that the GeForce RTX 5060 will hit shelves on May 19 starting at $299. It succeeds the GTX 1060/RTX 3060 line, adds DLSS 4 and Multi-Frame Generation—but still ships with 8 GB of VRAM amid ongoing supply shortages.

I’m curious: Will this price point and feature set finally revive mainstream PC builds? Is 8 GB of VRAM still enough for today’s 1080p/1440p gaming?

Looking forward to benchmarks and your early impressions once cards start rolling out!

Absolutely—adding more nuclear plants helps power AI today, but we also have to keep funding fusion research. Fusion could give us clean, almost endless energy down the road. We need reliable nuclear now and fusion in the future.