In production continuous batching benchmarks using vLLM on Qwen3-Coder-30B (AWQ), a single NVIDIA RTX 5090 delivers 4,570 tokens/s compared to the 4090's 2,259 tokens/s. This staggering 2x throughput jump is fueled by Blackwell's 5th-gen Tensor Cores and bleeding-edge GDDR7 memory bandwidth ticking at 1,792 GB/s, drastically reducing your cost per million tokens.
Yes. While traditional multi-tenant public clouds avoid consumer cards due to NVIDIA's software EULA terms, ServerMO provides 100% dedicated, single-tenant private bare-metal hardware infrastructure leases. This gives your startup complete environment control and absolute legal compliance for 24/7 commercial operations.
No. The consumer GeForce RTX 5090 does not support physical NVLink bridges or hardware Multi-Instance GPU (MIG). To eliminate data-sharing bottlenecks during tensor-parallel execution, ServerMO builds these servers with high-performance dual-socket AMD EPYC host nodes, routing direct high-speed bidirectional lane pipelines to every single slot card.
The RTX 6000 Pro features 3x more VRAM (96GB vs 32GB) and native silicon-level ECC memory with certified professional drivers. However, for cost-per-token efficiency on common chatbot models (7B–14B FP16/FP8), the GeForce RTX 5090 wins on raw ROI, delivering matching core throughput at a fraction of the monthly cost.
A single RTX 5090 with a 32GB frame buffer can handle a 70B model strictly under heavy INT4/AWQ quantization layers. For unquantized, full-precision production serving, ServerMO recommends upgrading your compute layout or selecting our high-capacity 384GB system RAM pool configurations available in Paris to bypass data limitations.
With the RTX 5090 holding a high market price and a massive 575W peak TDP draw, hosting it locally creates extreme power delivery and thermal cooling bottlenecks. Renting ServerMO's single-tenant bare-metal nodes removes large upfront capital investments, delivering high-CFM industrial chassis cooling, enterprise NVMe storage, and unmetered network ports for a predictable flat monthly cost.
