Ternary Bonsai 2 27B on NVIDIA DGX Station GB300 (748 GB)
27.36B on 748 GB at 7,100 GB/s. Hardware details · Model details
Yes. Ternary Bonsai 2 27B fits on NVIDIA DGX Station GB300 (748 GB) at the recommended
PTQ1_0 configuration, requiring approximately 7.2 GB at 8K context. Practical context capacity is 256K.CompatibilityComfortable
Calculated fit
Yes
Calculated Uses under 80% of usable memory. Room for a long context and other work.
Recommended quantization
PTQ1_0
Calculated gguf
Memory required
7.2 GB
Calculated of 635.8 GB usable — 1%
Max practical context
256K
Calculated model supports 256K
Memory budget at 8K context
Model weights ⓘ
5.5 GB Measured
KV cache ⓘ
0.5 GB Calculated
Runtime overhead ⓘ
1.2 GB Estimated
Total required
7.2 GB Calculated
Headroom ⓘ
628.6 GB Calculated
Smallest published ternary pack that leaves headroom: uses 1% of usable memory at 8K context.
Unified memory: weights, KV cache and the OS share the same 748 GB pool. We assume 85% is addressable by the GPU, which matches a headless machine with the wired-memory limit raised.
Hybrid attention: token-growing KV memory is charged to 16 full-attention blocks. The linear-attention blocks also hold fixed-size state, so the memory estimate is approximate.
Performance
Estimated performance · recommended PTQ1_0
Decode, prefill and TTFT below are estimates for PTQ1_0. We do not have a comparable PTQ1_0 measurement on this machine.
Estimated decode
—
Estimated PTQ1_0; calculated range
Estimated prefill
—
Estimated PTQ1_0; calculated range
Estimated TTFT at 8K
~0.2–0.4 s
Estimated PTQ1_0; calculated range
Hardware load reference
1350 W
Measured machine-level load; 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
- Decode: reading 27.4B active parameters at 1.75 bits/weight takes 5.62 ms at 7100 GB/s x 15% achieved efficiency.
- Prefill: 2500 TFLOPS (FP16) x 4 for native FP4 tensor cores x 22% assumed model-FLOPs utilisation, divided by 2 x 27.4B 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 |
|---|---|---|---|---|---|---|
PTQ1_0recommended | 5.5 GB | 5.5 GB | 7.2 GB | 1% | Comfortable | 256K |
PQ2_0 | 6.7 GB | 6.7 GB | 8.4 GB | 1% | Comfortable | 256K |
Cost of running Ternary Bonsai 2 27B on this machineUnited States (federal) · C corporation · 8h/day
Monthly economic cost
$1,182
Calculated after tax
Codex/Claude Code
$100/mo
≈ $100/mo · local is $1,082 more
Net cash at purchase
$90,082
Calculated VAT not reclaimable
Total over 5 years
$70,927
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.
Purchase-price input: $90,082 in United States (federal), tax/VAT excluded · estimated · NVIDIA DGX Station partner (converted catalogue estimate). This is the localized purchase input; the after-tax economic cost is calculated separately below.
Monthly breakdown
| Depreciation 79,272 over 5 years, straight-line to a 10,810 residual | $1,321.20 |
| Electricity 72.9 kWh/month at 0.140/kWh | $10.20 |
| Cost of capital 4.0%/yr on 50,446 average capital employed | $168.15 |
| Monthly cost before tax | $1,499.55 |
| Electricity tax shield Running costs are deductible business expenses | −$2.14 |
| First-year expensing §179 (100.0%) | −$315.29 |
| Monthly economic cost after tax | $1,182.12 |
Three different numbers, deliberately
Cash cost
$90,082
Money that leaves the bank account on day one, net of reclaimable VAT.
Accounting depreciation
$1,321.20/month
$79,272 written down over 5 years to a $10,810 residual.
After-tax economic cost
$1,182.12/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
$10,810 (12%) Assumption
Extrapolated.
Electricity
$0.140/kWh Assumption
Average power draw
414 W Calculated
Load 1350 W for 20% of powered hours, idle 180 W for the rest — a machine that is on is not generating tokens the whole time.
Investment allowances
§179 100.0% Official spec
Worth $18,917 in total — first-year expensing that replaces later tax depreciation.
Cost of capital
$168.15/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
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.
Ternary Bonsai 2 27B on other hardware
| Hardware | Decode | Price | Fit |
|---|---|---|---|
| RTX 5090 workstation (1x 32 GB) | 121 t/s | $3,332 * | Comfortable |
| Used RTX 4090 workstation (24 GB) | 91.1 t/s | $2,071 * | Comfortable |
Nearest alternatives to the NVIDIA DGX Station GB300 (748 GB)
Ternary Bonsai 2 27B on Mac Studio M5 Ultra 512 GB512 GBTernary Bonsai 2 27B on Mac Studio M3 Ultra 512 GB512 GBTernary Bonsai 2 27B on NVIDIA DGX H200 (8x H200, 1,128 GB)1,128 GBTernary Bonsai 2 27B on Mac Studio M5 Ultra 256 GB256 GBTernary Bonsai 2 27B on Mac Studio M3 Ultra 256 GB256 GB
Compare NVIDIA DGX Station GB300 (748 GB) against Mac Studio M5 Ultra 512 GB →
Compare NVIDIA DGX Station GB300 (748 GB) against Mac Studio M5 Ultra 512 GB →