DeepSeek-R1-Distill 32B on NVIDIA DGX Spark 128 GB
32.764B on 128 GB at 273 GB/s. Hardware details · Model details
Yes. DeepSeek-R1-Distill 32B fits on NVIDIA DGX Spark 128 GB at the recommended
Q8_0 configuration, requiring approximately 37.1 GB at 8K context. Practical context capacity is 128K. Expected decode for the recommended configuration is ~4.3–6.2 t/s. EstimatedCompatibilityComfortable
Calculated fit
Yes
Calculated Uses under 80% of usable memory. Room for a long context and other work.
Recommended quantization
Q8_0
Calculated gguf
Memory required
37.1 GB
Calculated of 105.0 GB usable — 35%
Max practical context
128K
Calculated model supports 128K
Memory budget at 8K context
Model weights ⓘ
33.1 GB Calculated
KV cache ⓘ
2.0 GB Calculated
Runtime overhead ⓘ
2.0 GB Estimated
Total required
37.1 GB Calculated
Headroom ⓘ
67.9 GB Calculated
Highest-precision quantization that leaves headroom: uses 35% of usable memory at 8K context.
Unified LPDDR: the accelerator allocates from the same 128 GB pool as the OS. We assume 82% is available to the inference engine.
Performance
Estimated performance · recommended Q8_0
Decode, prefill and TTFT below are estimates for Q8_0. We do not have a comparable Q8_0 measurement on this machine.
Estimated decode
~4.3–6.2 t/s
Estimated Q8_0; calculated range
Estimated prefill
~381–792 t/s
Estimated Q8_0; calculated range
Estimated TTFT at 8K
~10.4–21.6 s
Estimated Q8_0; calculated range
Hardware load reference
170 W
Measured machine-level load; not this model run
How the estimate is calculated
- Decode: reading 32.8B active parameters at 8.50 bits/weight takes 190.29 ms at 273 GB/s x 67% achieved efficiency.
- Prefill: 125 TFLOPS (FP16) x 2 for native FP8 tensor cores x 0.85 calibrated against measured prefill on this platform x 18% assumed model-FLOPs utilisation, divided by 2 x 32.8B parameters per token.
- Prefill throughput is highly engine-dependent. Flash attention, batch size and quantized KV all move this number substantially, and for sparse mixture-of-experts models it is the least reliable figure we produce.
- 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
| Quantization | Resident | Disk | Total needed | Utilisation | Fit | Max context |
|---|---|---|---|---|---|---|
Q4_K_M | 19.1 GB | 19.1 GB | 22.6 GB | 22% | Comfortable | 128K |
Q5_K_M | 22.4 GB | 22.4 GB | 26.0 GB | 25% | Comfortable | 128K |
Q8_0recommended | 33.1 GB | 33.1 GB | 37.1 GB | 35% | Comfortable | 128K |
BF16 | 61.0 GB | 61.0 GB | 65.9 GB | 63% | Comfortable | 128K |
Cost of running DeepSeek-R1-Distill 32B on this machineUnited States (federal) · C corporation · 8h/day
Monthly economic cost
$52
Calculated after tax
Codex/Claude Code
$100/mo
≈ $100/mo · local is $48 less
Net cash at purchase
$3,873
Calculated VAT not reclaimable
Total over 5 years
$3,091
Calculated after tax, after resale
Cost per USD/1M tokens
$77.98
Calculated 0.7M tokens/month
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.
Purchase-price input: $3,873 in United States (federal), tax/VAT excluded · estimated · NVIDIA / partner resellers (converted catalogue estimate). This is the localized purchase input; the after-tax economic cost is calculated separately below.
Monthly breakdown
| Depreciation 3,408 over 5 years, straight-line to a 465 residual | $56.80 |
| Electricity 9.5 kWh/month at 0.140/kWh | $1.33 |
| Cost of capital 4.0%/yr on 2,169 average capital employed | $7.23 |
| Monthly cost before tax | $65.36 |
| Electricity tax shield Running costs are deductible business expenses | −$0.28 |
| First-year expensing §179 (100.0%) | −$13.55 |
| Monthly economic cost after tax | $51.52 |
Three different numbers, deliberately
Cash cost
$3,873
Money that leaves the bank account on day one, net of reclaimable VAT.
Accounting depreciation
$56.80/month
$3,408 written down over 5 years to a $465 residual.
After-tax economic cost
$51.52/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
$465 (12%) Assumption
Extrapolated.
Electricity
$0.140/kWh Assumption
Average power draw
54 W Calculated
Load 170 W for 20% of powered hours, idle 25 W for the rest — a machine that is on is not generating tokens the whole time.
Investment allowances
§179 100.0% Official spec
Worth $813 in total — first-year expensing that replaces later tax depreciation.
Cost of capital
$7.23/month Assumption
- VAT rate: No US federal VAT · verified 2026-09-07
- Marginal tax rate: IRS Publication 542 — Corporations · verified 2026-09-07
- VAT recoverable fraction: site assumption · verified 2026-09-07
- Useful life: IRS Publication 946 — How To Depreciate Property · verified 2026-09-07
- Electricity price: Site assumption · verified 2026-09-07
Assumes the machine generates tokens 20% of its 176 powered hours per month. Cost per token scales inversely with this number — halve the utilisation and the cost per token doubles.
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.
Efficiency metrics
Decode per $1,000 spent
1.3 t/s
Calculated purchase price only
Decode per $100/month
10.1 t/s
Calculated after-tax ownership cost
Tokens per joule
0.10
Calculated same as tokens/s per watt
USD per 1M output tokens
$77.98
Calculated at 20% utilisation
Local versus hosted APIs
| Hosted model | USD/1M output | Break-even | API at your volume | Verdict | Comparison type |
|---|---|---|---|---|---|
| Qwen3.8 Flash Alibaba Cloud | $0.42 | 33.5M/mo | $1 | API cheaper | Different model |
| DeepSeek-V4.1 Flash DeepSeek | $0.60 | 28.6M/mo | $1 | API cheaper | Different model |
| DeepSeek-V4 Pro DeepSeek | $1.98 | 7.1M/mo | $5 | API cheaper | Different model |
| DeepSeek V4 Pro (Together) Together AI | $4.40 | 2.4M/mo | $14 | API cheaper | Different model |
| GLM-5.3 Z.ai | $4.40 | 3.3M/mo | $10 | API cheaper | Different model |
| Claude Haiku 4.5 Anthropic | $5.00 | 4.0M/mo | $9 | API cheaper | Different model |
Different-model comparison: the hosted model is not the model you would run locally. Treat this as a workload-quality trade-off, not a direct economic equivalence — the frontier model may complete a task in fewer tokens, or complete tasks the local model cannot. Break-even is the monthly output volume at which API spend equals the $52/month economic cost of owning this machine, assuming 8 input tokens per output token. Hosted prices are published in USD. This table is the canonical US default.
DeepSeek-R1-Distill 32B on other hardware
| Hardware | Decode | Price | Fit |
|---|---|---|---|
| NVIDIA DGX H200 (8x H200, 1,128 GB) | ~307–441 t/s | $359,430 * | Comfortable |
| Quad RTX 5090 workstation (4x 32 GB) | ~65.3–94 t/s | $12,611 * | Comfortable |
| Lenovo ThinkStation PX (4x RTX PRO 6000, 384 GB) | ~57–82 t/s | $58,553 * | Comfortable |
| RTX 5090 workstation (1x 32 GB) | ~55.4–79.7 t/s | $3,332 * | Comfortable |
| Dual RTX 5090 workstation (2x 32 GB) | ~43.3–62.3 t/s | $5,854 * | Comfortable |
| Dell Precision 7960 Rack (2x RTX PRO 6000, 192 GB) | ~39.7–57.1 t/s | $36,663 * | Comfortable |
Nearest alternatives to the NVIDIA DGX Spark 128 GB
DeepSeek-R1-Distill 32B on Framework Desktop (Ryzen AI Max+ 395, 128 GB)128 GBDeepSeek-R1-Distill 32B on GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)128 GBDeepSeek-R1-Distill 32B on Quad RTX 5090 workstation (4x 32 GB)128 GBDeepSeek-R1-Distill 32B on Mac Studio M5 Max 128 GB128 GBDeepSeek-R1-Distill 32B on Dual used RTX 4090 workstation (48 GB)48 GB
Compare NVIDIA DGX Spark 128 GB against Framework Desktop (Ryzen AI Max+ 395, 128 GB) →
Compare NVIDIA DGX Spark 128 GB against Framework Desktop (Ryzen AI Max+ 395, 128 GB) →