Exact quantized file bytes + FP16 KV cache + 2 GiB reserved for the runtime. KV bytes = 2 × layers × KV heads × head dimension × total context tokens × 2 bytes. 1 GiB = 2³⁰ bytes.
Nominal manufacturer GB labels use a conservative decimal-GB budget (1 GB = 10⁹ bytes). Actual free VRAM, engine allocation, driver and operating-system support must be checked. Passing this estimate does not establish a tested deployment or the largest model the card could run. CPU offload, multi-GPU and training are outside this calculation.
Published test evidence
How fast does it generate tokens?
No sourced speed test collected yet.
Memory fit can help shortlist Arc Pro B60, but it does not establish output tokens per second. Validate your chosen model, quantization and engine before budgeting around its speed.
The context selector above changes memory estimates only. Published speed records keep their original model and test conditions; these are external reports, not our measurements.
Ownership cost
Purchase price references.
No current purchase quote collected.
We have not recorded a seller, board SKU, condition and current price for this variant. Manufacturer specifications ↗
Dated compute quotes
Where can you rent this variant?
No matching rental quote collected.
Quotes must match this exact variant. 24 GB B60 as specified in the Intel launch deck; board designs vary.
This is the matching evidence currently in our catalog. It is not a complete provider comparison or a market-wide lowest-price claim.
Hardware identity & sources.
Chip designer: Intel. 24 GB B60 as specified in the Intel launch deck; board designs vary. Retail board brands, seller SKUs and regional availability need their own evidence.
Model files and pinned revisions are attached to each memory estimate. Speed and price records link to their sources above. Rebuilding this page does not refresh those observation dates.