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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.
Methodology and data
Rankings use measured compatibility, VRAM constraints, and benchmark-backed tradeoffs. See assumptions and formulas in methodology.
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 | Buy |
RTX 4090 24GBEditor's Choice | 24GB | $1,600-$2,000 | Daily 70B inference, Better latency consistency | Buy |
RTX 5090Performance King | 32GB | $2,000+ | Large context windows, Higher throughput targets | Buy |
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