RTX 5080 Maximum LLM Throughput
Squeezing maximum tok/s from a single RTX 5080 16GB. Tuned vLLM numbers across models.
The 5080 sits between 5060 Ti and 4090 on the lineup — same 16 GB VRAM as the 5060 Ti but ~2× the bandwidth and Blackwell tensor cores. For 7B-class production it punches above its 16 GB tier; for 13B+ it bumps into VRAM limits.
Tuned 5080 vLLM throughput on 7B FP8: ~1,050 tok/s aggregate batch 16, ~1,250 tok/s batch 32. Sustained ~50 concurrent users at p99 TTFT < 2 s. 14B AWQ: ~370 tok/s batch 8 — VRAM-tight. £189/mo. Best £/throughput in the 16 GB tier when concurrency matters.
Setup
- vLLM 0.6.4 with FP8 (E4M3) weights
- Prefix caching enabled, FP8 KV cache
- Tuned
max-num-seqsper scenario (typically 32-48) - Tuned
max-num-batched-tokens= 16384
Results
| Model | Batch 1 | Batch 16 | Batch 32 (tuned) | Concurrent users (p99 TTFT < 2s) |
|---|---|---|---|---|
| Mistral 7B FP8 | ~165 tok/s | ~1,050 tok/s | ~1,250 tok/s | ~50 |
| Llama 3.1 8B FP8 | ~150 tok/s | ~990 tok/s | ~1,180 tok/s | ~45 |
| Qwen 2.5 7B FP8 | ~155 tok/s | ~1,000 tok/s | ~1,200 tok/s | ~48 |
| Phi-3 Medium 14B AWQ | ~75 tok/s | ~370 tok/s | N/A (VRAM) | ~12 |
| Qwen 2.5 14B AWQ | ~70 tok/s | ~350 tok/s | N/A (VRAM) | ~10 |
Limits
Where the 5080 hits walls:
- 13B-14B FP8: doesn't fit (~14 GB weights + KV cache overflow). AWQ-INT4 fits but with limited concurrency.
- Long context with 14B: 32K context on 14B AWQ-INT4 leaves <1 GB KV cache headroom.
- Co-hosted multi-model: 16 GB doesn't leave room for embeddings + LLM + reranker on the same card.
For these, step up to 4090 24GB or 5090 32GB.
Verdict
For pure 7B FP8 production at moderate-to-high concurrency, the 5080 16GB is the £/throughput sweet spot — better than 5060 Ti for concurrency-anchored workloads, cheaper than 4090 when you don't need 24 GB. £189/mo + ~1,250 tok/s tuned = strong cost economics for SaaS production.
Bottom line
5080 = 7B production sweet spot when concurrency matters. See 5080 concurrency.