Picture a two-person AI team choosing their next machine.
Every option on the table this week is a hardware purchase.
Sipeed announced the MaixStation: 128GB of LPDDR5X at 273 GB/s, an NPU rated at 256 TOPS at FP4, and a price around $3,999 for the 128GB model.
It lands level with AMD's 128GB Ryzen AI Halo and well under the DGX Spark's $6,950 MSRP.
Sipeed claims 25% faster prefill and 30% faster decode on Qwen 27B from a single node, then put the lead at about 10% in a follow-up email.
The schedule is where the story turns.
Sign-ups are open now, the Kickstarter closes at the end of the year, units ship within three months after it closes, and the NPU toolchain is not due until the end of this month.
So that team is looking at $4,000 up front and a season of waiting before the first model runs.
That is the part that decides projects.
Affordable AI compute changes the order of operations.
Instead of buying capacity and hoping the model works, you rent it, test this week, and keep the purchase decision open until it matters.
RTX 3090s run at $0.15/hr, cloud storage at $2.50 per TB per month, and Buy Now Pay Later means zero upfront with payment after 1 month.
How long did your last hardware purchase sit between the invoice and the first working model?
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Originally posted on linkedin_personal