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Hardware picks for running 70B-class models locally
Quick Answer: For most users, the RTX 4090 24GB ($1,600-$2,000) offers the best balance of VRAM, speed, and value. Budget builders should consider the RTX 3090 24GB ($700-$900 (used)), while professionals should look at the RTX 5090.
70B model workloads are constrained by memory and sustained throughput. These picks prioritize practical fit for quantized 70B deployments and stable long-session inference.
Compare all recommendations at a glance.
| GPU | VRAM | Price | Best For | |
|---|---|---|---|---|
RTX 3090 24GBBudget Pick | 24GB | $700-$900 (used) | Budget 70B experiments, Single-user local inference | |
RTX 4090 24GBEditor's Choice | 24GB | $1,600-$2,000 | Daily 70B inference, Better latency consistency | |
RTX 5090Performance King | 32GB | $2,000+ | Large context windows, Higher throughput targets |
Detailed breakdown of each GPU option with pros and limitations.
Lowest-cost 24GB entry into 70B-class local inference.
Best For
Limitations
Most balanced single-GPU option for stable 70B quantized workflows.
Best For
Highest-end consumer path with more memory headroom for large local models.
Best For