Nemotron 3.5 Lightning 30B-A3B on GeForce RTX 3090 Ti 24 GB

31.578B (3B active) on 24 GB at 1,008 GB/s. Hardware details · Model details

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Marginal. Nemotron 3.5 Lightning 30B-A3B fits on GeForce RTX 3090 Ti 24 GB at the recommended Q4_K_M configuration, requiring approximately 20.0 GB at 8K context. Practical context capacity is 192K.
CompatibilityBorderline
Calculated fit
Yes
Calculated Uses 90-97% of usable memory. Likely to load but fragile under load or long context.
Recommended quantization
Q4_K_M
Calculated gguf
Memory required
20.0 GB
Calculated of 22.1 GB usable — 91%
Max practical context
192K
Calculated model supports 1M

Memory budget at 8K context

Model weights ⓘ
18.4 GB Calculated
KV cache ⓘ
0.1 GB Calculated
Runtime overhead ⓘ
1.6 GB Estimated
Total required
20.0 GB Calculated
Headroom ⓘ
2.1 GB Calculated
Only a borderline fit (91% of usable memory). Expect to run headless and keep the context short.
Discrete GPU: 24 GB of VRAM, of which we assume 92% is usable after driver and context overhead.
Mixture of experts: all 31.578B parameters must be resident in memory even though only ~3B are active per token. Memory follows total parameters; speed follows active parameters.
Hybrid cache: token-growing KV memory is charged only to 6 attention blocks; 23 Mamba-2 blocks use fixed-size convolution and recurrent state instead.
Borderline fit. It may load, but you will have little room for a longer context, a second process, or a desktop session.
Performance

Estimated performance · recommended Q4_K_M

Decode, prefill and TTFT below are estimates for Q4_K_M. We do not have a comparable Q4_K_M measurement on this machine.

Estimated decode
—
Estimated Q4_K_M; calculated range
Estimated prefill
—
Estimated Q4_K_M; calculated range
Estimated TTFT at 8K
—
Estimated Q4_K_M; calculated range
Hardware load reference
450 W
Official spec hardware TDP; not this model run
No throughput figures for this configuration. We do not estimate performance for a model that cannot load.
How the estimate is calculated
  1. Decode: reading 3.0B active parameters at 4.85 bits/weight takes 2.58 ms at 1008 GB/s x 70% achieved efficiency.
  2. MoE routing penalty of 15% applied: expert gathers are less bandwidth-efficient than a dense sweep.
  3. Per-token overhead of 0.8 ms (kernel launches, attention bookkeeping, sampling) is significant here — this model is not purely bandwidth-bound on this hardware.

  • MoE decode depends on how well the engine batches expert gathers; real results vary more than for dense models.
  • With few active parameters on fast memory, fixed per-token overhead rather than bandwidth sets the ceiling. Real engines vary widely in how well they hide it.
  • No FP16 compute figure for this hardware, so prefill cannot be estimated.
  • This is a calculated estimate, not a measurement. It assumes a single request, a short prompt, no speculative decoding and a warm model already resident in memory.

Estimator version estimator_v1. Stored with every estimated row so old estimates can be regenerated when the model improves.

Submit a benchmarkSubmissions stay pending until reviewed.
This model at other quantizations on this machine
QuantizationResidentDiskTotal neededUtilisationFitMax context
Q4_K_Mrecommended18.4 GB18.4 GB20.0 GB91%Borderline192K
Q5_K_M21.5 GB21.5 GB23.3 GB105%Does not fit0
Q8_031.9 GB31.9 GB33.9 GB154%Does not fit0
BF1658.8 GB58.8 GB61.7 GB279%Does not fit0
Cost of running Nemotron 3.5 Lightning 30B-A3B on this machineUnited States (federal) · C corporation · 8h/day
Monthly economic cost
$3
Calculated after tax
Codex/Claude Code
$100/mo
≈ $100/mo · local is $97 less
Net cash at purchase
$0
Calculated VAT not reclaimable
Total over 5 years
$156
Calculated after tax, after resale
Cost per USD/1M tokens
—
Calculated

The $100 comparison uses the Codex Pro 5x / Claude Max 5x plans. A fixed planning conversion is used for USD. This compares monthly spend only: subscriptions have usage limits, local hardware has different capabilities and constraints, and taxes or regional pricing may change the charged amount. Prices checked 7 September 2026.

Monthly breakdown

Depreciation
0 over 5 years, straight-line to a 0 residual
$0.00
Electricity
23.4 kWh/month at 0.140/kWh
$3.28
Monthly cost before tax$3.28
Electricity tax shield
Running costs are deductible business expenses
−$0.69
Monthly economic cost after tax$2.59

Three different numbers, deliberately

Cash cost
$0
Money that leaves the bank account on day one, net of reclaimable VAT.
Accounting depreciation
$0.00/month
$0 written down over 5 years to a $0 residual.
After-tax economic cost
$2.59/month
Depreciation plus running costs plus cost of capital, less the tax those deductions save. This is the figure to compare between machines.
Assumptions and sources (verified 2026-09-07)
VAT rate
0% Official spec
VAT recoverable
0% Official spec
Federal C-corporation estimate at the flat 21% rate. Pass-through entities should use the sole-proprietor estimate as a rougher proxy.
Effective deduction rate
21.00% Calculated
Headline marginal rate 21.00%.
Depreciation
5 years, straight-line Assumption
Residual value
$0 (15%) Assumption
Two GPU generations later, the card is worth a fraction of its list price.
Electricity
$0.140/kWh Assumption
Average power draw
133 W Calculated
Load 450 W for 20% of powered hours, idle 54 W for the rest — a machine that is on is not generating tokens the whole time.
Investment allowances
§179 100.0% Official spec
Worth $0 in total — first-year expensing that replaces later tax depreciation.
Cost of capital
not applied Assumption
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.