NVIDIA A100 PCIe 40 GB vs Dual used RTX 4090 workstation (48 GB)

A100 PCIe has 40 GB memory, 1,555 GB/s bandwidth, 250 W nominal power; Dual RTX 4090 has 48 GB memory, 2,016 GB/s bandwidth, 1,150 W nominal power. Compare model compatibility, like-for-like tokens/sec and ownership cost below.

NVIDIA A100 PCIe 40 GB · Dual used RTX 4090 workstation (48 GB)

Verdict
  • throughputNo valid like-for-like performance comparison is available. The practical configurations below differ in quantization, runtime, context, settings, or evidence type, so their speed difference must not be attributed to hardware alone.
  • capacityBoth machines run all 8 compared models in their best practical configurations. Compare their quantizations and evidence labels before treating any throughput difference as a hardware result.
  • costAt 8 hours a day, the NVIDIA A100 PCIe 40 GB has approximately 97% lower total monthly cost ($1 against $48), for a C corporation in United States (federal).
  • powerThe Dual used RTX 4090 workstation (48 GB) draws 980 W under load against 250 W for the NVIDIA A100 PCIe 40 GB — a 3.9× difference that shows up in the electricity line and in how loud and hot the room gets.
  • evidenceThere are no comparable throughput rows, so this page makes no hardware-speed ranking. Practical deployment figures remain useful for fit planning but answer a different question.
  • recommendationThroughput is close enough to be a wash, so this comes down to cost and capacity: the NVIDIA A100 PCIe 40 GB is cheaper to own, and capacity differences above decide which models you can run at all.
Every statement above is generated from the calculations on this page by fixed rules — no prose is written for individual comparisons. If the numbers change, the verdict changes with them.
Hardware
NVIDIA A100 PCIe 40 GBDual used RTX 4090 workstation (48 GB)
Purchase price estimate—$3,692 *
Memory40 GB48 GB
Theoretical bandwidth (aggregate on multi-GPU)1,555 GB/s2,016 GB/s
Usable bandwidth indicator1,213 GB/s (78%)interconnect-adjusted per workload
Nominal power250 W1150 W
Measured load power—980 W
Idle power—95 W
Architecturediscrete gpu2× GPU
Like-for-like performance0 comparable models
Ternary Bonsai 2 27BMixtral 8x7BPhi-3.5 MoE 42B-A6.6BNemotron 3.5 Lightning 30B-A3BQwen3-Coder 30B-A3BQwen3 30B-A3BGemma 4 26B-A4Bgpt-oss-20b
ModelNVIDIA A100 PCIe 40 GBDual used RTX 4090 workstation (48 GB)Winner
Ternary Bonsai 2 27B
27.36B
—
no matched configuration
—
no matched configuration
Not comparable
Mixtral 8x7B
46.703B (13B active)
—
no matched configuration
—
no matched configuration
Not comparable
Phi-3.5 MoE 42B-A6.6B
41.873B (6.6B active)
—
no matched configuration
—
no matched configuration
Not comparable
Nemotron 3.5 Lightning 30B-A3B
31.578B (3B active)
—
no matched configuration
—
no matched configuration
Not comparable
Qwen3-Coder 30B-A3B
30.532B (3.3B active)
—
no matched configuration
—
no matched configuration
Not comparable
Qwen3 30B-A3B
30.532B (3.3B active)
—
no matched configuration
—
no matched configuration
Not comparable
Gemma 4 26B-A4B
25.806B (3.8B active)
—
no matched configuration
—
no matched configuration
Not comparable
gpt-oss-20b
20.915B (3.6B active)
—
no matched configuration
—
no matched configuration
Not comparable
Hardware deltas are calculated only when quantization, runtime, exact context, execution/decode mode and relevant inference settings match. Measured and estimated results are never compared to each other. A difference under 10% is reported as a tie.
Best practical configuration
ModelNVIDIA A100 PCIe 40 GBDual used RTX 4090 workstation (48 GB)Practical result
Ternary Bonsai 2 27B—
PTQ1_0 · estimated
—
PTQ1_0 · estimated
Both fit; configurations may differ
Mixtral 8x7B—
Q4_K_M · estimated
—
Q4_K_M · estimated
Both fit; configurations may differ
Phi-3.5 MoE 42B-A6.6B—
Q4_K_M · estimated
—
Q5_K_M · estimated
Both fit; configurations may differ
Nemotron 3.5 Lightning 30B-A3B—
Q5_K_M · estimated
~223–321 t/s
Q5_K_M · estimated
Both fit; configurations may differ
Qwen3-Coder 30B-A3B—
Q5_K_M · estimated
~210–302 t/s
Q5_K_M · estimated
Both fit; configurations may differ
Qwen3 30B-A3B—
Q5_K_M · estimated
~210–302 t/s
Q5_K_M · estimated
Both fit; configurations may differ
Gemma 4 26B-A4B—
Q5_K_M · estimated
~143–206 t/s
Q8_0 · estimated
Both fit; configurations may differ
gpt-oss-20b—
MXFP4 · estimated
~238–343 t/s
MXFP4 · estimated
Both fit; configurations may differ
This is a deployment comparison: each machine uses its own recommended configuration. Different quantizations can change speed and quality, so these figures are not raw hardware benchmarks.
Economics — United States (federal), C corporation, 8h/day
NVIDIA A100 PCIe 40 GBDual used RTX 4090 workstation (48 GB)
Purchase price estimate—$3,692
Reclaimable VAT$0$0
Net cash at purchase$0$3,692
Monthly depreciation$0.00$48.00
Monthly electricity$1.82 (13 kWh)$6.70 (48 kWh)
Tax programme§179 100.0%§179 100.0%
Tax-programme benefit$0$775
Monthly economic cost$1.44$47.88
Total over 5 years$86$2,873
Purchase prices are localized inputs in USD: tax/VAT excluded for NVIDIA A100 PCIe 40 GB and tax/VAT excluded for Dual used RTX 4090 workstation (48 GB). Net cash and monthly economic cost then apply the selected United States (federal) / C corporation tax treatment. Tax assumptions last verified 2026-09-07. Federal planning estimate only, not tax advice. State and local income tax, sales/use tax and incentives are excluded. It assumes 100% business use, a Section 179 election, enough business income to use it, and that the full annual limit remains available.