Graphics Card Comparison

V100 SXM2 vs RTX 5090 D

Verdict
V100 SXM2 vs RTX 5090 D: RTX 5090 D has more raw compute

Head-to-head specifications

MetricV100 SXM2RTX 5090 DDifference
FP32 compute (TFLOPS)7.8104.8-92.6%
VRAM16 GB HBM232 GB GDDR7
Memory bandwidth (GB/s)9001,792-49.8%
TDP (W)300575
Stable Diffusion (it/s)25.041.9-40.3%
LLM inference (tokens/s)95143-33.6%
Launch MSRP (USD)$10,000$2,299+335.0%
  • RTX 5090 D offers 104.8 TFLOPS of FP32 compute versus 7.8. These cards span different eras or segments, so modern gaming benchmarks are not directly comparable — judge them within their own generation and use case.

Verdict: V100 SXM2 or RTX 5090 D?

Our recommendation
RTX 5090 D is the clearly stronger overall choice, winning most of the dimensions that matter.

V100 SXM2 advantages

  • Power efficiency (+48%)

RTX 5090 D advantages

  • Video memory (+50%)
  • Memory bandwidth (+50%)
  • AI image generation (+40%)
  • Local LLM inference (+34%)
  • Affordability (+77%)

Which should you choose?

  • Choose the V100 SXM2 if you want lower power draw, heat and noise.
  • Choose the RTX 5090 D if you play the latest titles at high textures or do GPU-accelerated work.

V100 SXM2 vs RTX 5090 D: which should you choose?

V100 SXM2 — NVIDIA server graphics card (2017, Volta) with 16 GB of HBM2; launched at $10,000.

RTX 5090 D — NVIDIA desktop graphics card (2025, Blackwell) with 32 GB of GDDR7, averaging 183 fps at 1440p; launched at $2,299.

V100 SXM2 vs RTX 5090 D: RTX 5090 D has more raw compute. RTX 5090 D offers 104.8 TFLOPS of FP32 compute versus 7.8. These cards span different eras or segments, so modern gaming benchmarks are not directly comparable — judge them within their own generation and use case.

Different eras, different missions

These two parts do not compete head-to-head: V100 SXM2 (2017, Server) and RTX 5090 D (2025, Desktop) come from different generations or market segments, so modern game benchmarks do not apply to both. The specification table above is best read as architectural context — process node, memory technology and power budgets show how far GPU design has moved.

Specifications at a glance

V100 SXM2 carries 16 GB of HBM2 against 32 GB of GDDR7 on RTX 5090 D, with board powers of 300 W and 575 W respectively.

The verdict

Both are credible choices in the graphics card comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.

Frequently asked questions

Is the V100 SXM2 better than the RTX 5090 D?

RTX 5090 D is the clearly stronger overall choice, winning most of the dimensions that matter. RTX 5090 D offers 104.8 TFLOPS of FP32 compute versus 7.8. These cards span different eras or segments, so modern gaming benchmarks are not directly comparable — judge them within their own generation and use case.

What is the main difference between the V100 SXM2 and the RTX 5090 D?

RTX 5090 D offers 104.8 TFLOPS of FP32 compute versus 7.8. These cards span different eras or segments, so modern gaming benchmarks are not directly comparable — judge them within their own generation and use case.

Which should I choose?

Choose the V100 SXM2 if you want lower power draw, heat and noise. Choose the RTX 5090 D if you play the latest titles at high textures or do GPU-accelerated work.

Methodology

Graphics cards are compared on 3DMark Time Spy scores, average gaming frame rates at 1080p/1440p/4K, FP32 compute throughput, VRAM capacity and type, memory bandwidth, board power (TDP) and launch MSRP — plus AI workload throughput (Stable Diffusion iterations/s and local LLM tokens/s) where measured. Vintage and server GPUs without modern benchmark results are compared on specifications only, clearly labelled. Frame rates are averages across a game suite at high settings; specific titles vary.

ER
EquivalentTo Research
Data & Benchmarks Team

We compile published benchmark results (Cinebench 2024, Geekbench 6, AnTuTu v10, 3DMark), manufacturer specifications and market pricing from nine regions into normalized, comparable datasets. Every figure traces to a named public source listed on each page.

Benchmark leaderboard compilationMulti-market pricing normalizationUnit & currency conversion
✓ Reviewed by EquivalentTo Editorial Review, Data Quality & Methodology.
Last updated 2026-07-01
V100 SXM2 profile → RTX 5090 D profile → Compare something else

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