@mylifcc: Jensen Huang's $6,950 desktop supercomputer DGX Spark hasn't even warmed up yet, and open-source hardware maker Sipeed has already stabbed it in the back? Sipeed just officially revealed the MaixStation's pricing to Tom's Hardware: it's expected to cost only $3,999! Same 12...
Summary
Sipeed disclosed to Tom's Hardware that its desktop AI workstation, the MaixStation, is expected to be priced at $3,999, powered by China's Axera AX8860P chip, offering 128GB of LPDDR5X unified memory at 42% less than the NVIDIA DGX Spark, sparking fierce debate in overseas local LLM communities over the lack of a CUDA ecosystem and crowdfunding risks.
View Cached Full Text
Cached at: 10/17/26, 06:52 AM
Jensen Huang’s $6,950 desktop supercomputer DGX Spark hasn’t even warmed up yet, and it’s already been stabbed in the back by open-source hardware maker Sipeed?
Sipeed has just officially disclosed the MaixStation’s pricing to Tom’s Hardware: expected to retail at only $3,999!
Same 128GB LPDDR5X unified memory + 273 GB/s bandwidth, but the price is slashed by $2,951 (42% cheaper) — and it can even be powered by a 65W power bank. Yet the moment the news broke, the overseas local LLM enthusiast community went into an uproar.
Digging through Tom’s Hardware’s in-depth coverage and the comment section battles, the truth about this machine is quite interesting:
Core chip: Not AMD or NVIDIA, but China’s 6nm Axera AX8860P (16-core Arm A55 + 256 TOPS native FP4 NPU).
Benchmark corrections: Officially, rigorously corrected for the press — at the same FP4 precision with speculative sampling disabled, running Qwen 27B, both prefill and decode are about 10% faster than DGX Spark.
Geek-grade specs: 11×11×3 cm palm-sized, 40W typical power consumption, equipped with a 10G SFP+ port, a standard M.2 2280 slot, supporting up to 256 Gbps chip-to-chip direct connection across 8 nodes without a switch (a 516GB version is also pending announcement).
Core controversy: Critics argue “no CUDA ecosystem + $4,000 on Kickstarter — the risk is too high”; supporters focus on its best-in-class VRAM-per-watt price-performance ratio.
Similar Articles
Sipeed announces MaixStation, comparable to Strix Halo and DGX Spark
Sipeed 发布 MaixStation,定位为可与 AMD Strix Halo 和 NVIDIA DGX Spark 相媲美的紧凑型边缘 AI 工作站,面向本地大模型与 AI 开发者。
The Memory Price Crisis Is So Much Worse Than You Think
The memory shortage has driven up prices across every device capable of running large models locally, rendering all the numbers in old buying guides obsolete. This piece compares the trade-offs between Strix Halo mini PCs, the Mac Studio M5 Max, and the DGX Spark in terms of decode/prefill speeds and pricing, arguing that MoE models are the whole point of owning a 128 GB machine.
Got 2x DGX Sparks. Excited and confused!
一位用户分享了购买两台 Nvidia DGX Spark(约6100美元/台)的经历,用于学习和编程工作流,并询问 GLM 5.3 flash 的本地部署配方以及 Nvidia 论坛是否是获取相关资讯的最佳渠道。
@YRSM_Simon: Jensen's precision cuts so sharp it makes your teeth itch. NVIDIA promotes DGX Station: 748GB unified memory. Sounds like it crushes everything—4× RTX PRO 6000's 384GB? Not enough. But look closer—748GB = 252GB HBM3e + 496GB …
Reveals that the 748GB unified memory advertised for the NVIDIA DGX Station actually only has 252GB of high-speed HBM available. The remaining 496GB of slow LPDDR5X is essentially useless for large model inference, reflecting NVIDIA's precise product differentiation strategy.
@svpino: We are getting 2 new devices from NVIDIA and Microsoft: 1. The DGX Station, with GB300 superchip and up to 748GB of mem…
NVIDIA and Microsoft are releasing two new AI hardware devices: the DGX Station with GB300 superchip and 748GB memory, and the RTX Spark laptop with 1 petaflop AI performance and 128GB unified memory.