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RTX 5070 Ti, 3090 Split Local LLM Buyers
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REDDIT · REDDIT// 5h agoINFRASTRUCTURE

RTX 5070 Ti, 3090 Split Local LLM Buyers

The post weighs a new RTX 5070 Ti 16GB against a used RTX 3090 24GB for a dual-GPU local LLM rig paired with an RTX 4070. The real question is whether 28GB of newer VRAM and Blackwell features can match the headroom of 36GB total on longer contexts and larger MoE models.

// ANALYSIS

For local LLMs, VRAM headroom usually matters more than a small generational speed gap once context windows stretch into six figures.

  • Two-GPU setups rarely behave like a clean pooled-memory system, so the effective ceiling is still constrained by per-card allocation and sharding strategy.
  • A 3090's 24GB is the safer path for 32B dense models plus very long contexts; KV cache growth can eat the 16GB card fast.
  • The 5070 Ti is the cleaner buy if you value new-in-box reliability, lower risk, and Blackwell-era tensor features more than absolute headroom.
  • For 120B MoE workloads at 30+ tps, the 3090 path is more likely to avoid constant offload compromises, especially as context scales.
  • If your real target is Q4/IQ4 experimentation rather than near-saturated 70B+ throughput, the 5070 Ti + 4070 combo may be enough with careful model choice.
// TAGS
gpullminferencepricingrtx-5070-tirtx-3090

DISCOVERED

5h ago

2026-04-19

PUBLISHED

5h ago

2026-04-19

RELEVANCE

7/ 10

AUTHOR

TheFunSlayingKing