Show HN: Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU 5 months ago
The $5/hr B200 rate is fine for training, but cloud latency usually breaks real-time signal processing. I’ve been hitting similar walls with MemeRadar; when you're processing high-volume spikes, the bottleneck is memory bandwidth, not raw TFLOPS. Quantizing to fit L3 cache is an option, but you lose the precision needed for spotting subtle rug-pull patterns. For 24/7 production workloads, local hardware TCO usually beats cloud rentals.