Versus Engine
Nvidia GeForce RTX 5070 Ti (16GB) vs Threadripper Pro + Dual RTX 4090 Build
Specs, price and the one trade-off that actually decides it — Nvidia GeForce RTX 5070 Ti (16GB) against Threadripper Pro + Dual RTX 4090 Build, side by side.
Cheaper to start
Tie
Both start at a similar price.
Rated higher
Nvidia GeForce RTX 5070 Ti (16GB)
9.3 vs 9.2 on our design scale.
Standout
Nvidia GeForce RTX 5070 Ti (16GB)
16GB VRAM is the practical floor for comfortable local inference
Nvidia GeForce RTX 5070 Ti (16GB)
The value inflection point of the RTX 50 series: 16GB of GDDR7 at a $749 MSRP.
Where it wins, where it doesn't
Pros
- 16GB VRAM is the practical floor for comfortable local inference
- Best cost-per-capability in the RTX 50 line
- Modest power draw and manageable thermals
Cons
- No headroom for 32B-class models
- Street pricing has run far above the $749 MSRP
- Raw 4K render performance trails the 5080
Specifications
- memory16GB GDDR7
- cuda_cores8960
- boost_clock2.45 GHz
- architectureBlackwell
- memory_bandwidth896 GB/s
- total_graphics_power300W
- cpu—
- gpu—
- tier—
- ram_gb—
- vram_gb_total—
- example_models—
- tokens_per_second—
Threadripper Pro + Dual RTX 4090 Build
Professional-tier workstation: AMD Ryzen Threadripper Pro with two NVIDIA GeForce RTX 4090s (48 GB VRAM total) and 256 GB of RAM. Runs Llama 3.1 405B and gpt-oss-120b at roughly 10-20 tokens/s — the enterprise end of this index for on-premises inference.
Where it wins, where it doesn't
Pros
- 48GB total VRAM for heavy inference
- Massive PCIe lane bandwidth
- 64-core compute headroom
Cons
- Extreme power consumption (1500W+ peak)
- High noise levels under sustained load
Specifications
- memory—
- cuda_cores—
- boost_clock—
- architecture—
- memory_bandwidth—
- total_graphics_power—
- cpuAMD Ryzen Threadripper Pro
- gpu2x NVIDIA GeForce RTX 4090
- tierprofessional
- ram_gb256
- vram_gb_total48
- example_modelsLlama 3.1 405B, gpt-oss-120b
- tokens_per_second10-20