Within the Blackwell 5060 family on our dedicated GPU hosting, the primary decision is VRAM: 8 GB or 16 GB. The RTX 5060 8GB works for small, quantised models. The RTX 5060 Ti 16GB opens real 7-14B production workloads. The 2x VRAM gap reshapes everything.
Contents
The Gap
Same architecture, same bandwidth (both GDDR7 at 448 GB/s on 128-bit bus), same FP8 support. The differentiators:
| Spec | 5060 8GB | 5060 Ti 16GB |
|---|---|---|
| VRAM | 8 GB | 16 GB |
| CUDA cores | ~3,840 | ~4,608 |
| TDP | 150 W | 180 W |
What 16GB Unlocks
Three constraints disappear when you go from 8 GB to 16 GB:
- No forced aggressive quantisation. 8 GB means Llama 3 8B at INT4 (lossy). 16 GB means FP8 (minimal quality loss) or FP16 (full quality tight).
- Real KV cache headroom. 8 GB fits 1-2 concurrent 7B chats. 16 GB fits 8-14 concurrent.
- Multi-model co-residency. 8 GB fits one model. 16 GB fits LLM + embedder + reranker together.
Concurrency Delta
| Model | 5060 8GB max concurrent | 5060 Ti 16GB max concurrent |
|---|---|---|
| Phi-3-mini 3.8B FP16 | 10-15 | 30-40+ |
| Mistral 7B INT4 | 2-3 | 20+ |
| Mistral 7B FP8 | 1 (no headroom) | 12-16 |
| Llama 3 8B FP8 | Does not fit | 10-14 |
Cost Delta
The Ti typically costs 30-60% more per month. For production workloads the value is not close – the Ti handles traffic the 8GB cannot serve at all. Pounds-per-concurrent-user favours the Ti by a wide margin for any production serving.
Pick Rule
- Single user, quantised experimentation: 5060 8GB is enough
- Any production workload with concurrency: 5060 Ti 16GB
- RAG stack with embedder on same card: 5060 Ti 16GB
- Multi-model deployment: 5060 Ti 16GB mandatory
Most buyers land on the Ti. See the full 5060 vs 5060 Ti comparison.
See also: benchmark comparison, workload coverage.
