Use-case guide · Summarisation
Should you pick RTX 4070 Super for summarisation?
RTX 4070 Super has 12 GB VRAM. Whether it's the right fit for summarisation depends on your model size, expected QPS, and budget. Below is what we're seeing in production.
VRAM + model fit
RTX 4070 Super fits models up to ~8B parameters in BF16 comfortably with room for KV-cache. For summarisation specifically, you'll want to leave headroom for context length growth.
Pricing
Live pricing across all providers for RTX 4070 Super is on the GPU detail page — click through for the sortable list.
Throughput
On summarisation workloads, RTX 4070 Super typically delivers the throughput published in its FP16 spec, minus the framework overhead (vLLM ≈ 85% MFU, TGI ≈ 70%).
Try the calculator to size the hardware for your specific model, or see all GPUs on the InferenceScore leaderboard.