While NVIDIA Prices Climb, Lucebox Leans on AMD
NVIDIA has raised the price of its own AI box twice this year. On Friday, Lucebox opened orders on an AMD workstation that pairs up to 192 gigabytes of shared memory with a separate 32-gigabyte graphics card.On the title: this is about NVIDIA DGX Spark pricing — $4,999 for the 64GB against $6,950 for the 128GB. This issue leads with the AMD counterpoint to that.
While NVIDIA raises prices, Lucebox leans into AMD. On Friday the company opened orders for the Lucebox Zero 495, a desktop built on AMD’s Ryzen AI MAX+ PRO 495 processor with a 32-gigabyte AMD Radeon AI PRO R9700 graphics card beside it.3 Founder Alessandro Puppo announced it on X at 14:50 UTC.2 It starts at $5,999, and the first batch is due in January 2027, a date the company calls an estimate.137
NVIDIA has gone the other way. Its DGX Spark launched at $3,999 in October 2025 and rose to $4,699 in February, a change NVIDIA put down to memory supply constraints.6 The 128-gigabyte Spark now lists at $6,950 on NVIDIA’s own marketplace.4 A 64-gigabyte Spark, announced the same day as the Lucebox, starts at $4,999: more than the original 128-gigabyte price, for half the memory.9
The Lucebox has two pools of memory. The processor shares 128 or 192 gigabytes of LPDDR5X between its CPU and integrated graphics, at 273 gigabytes a second. The R9700 adds 32 gigabytes of its own at 640 gigabytes a second, over a PCIe 4.0 x4 link, and every configuration includes it.31 The aluminium case is 11.97 litres and six kilograms, and the machine draws about 500 watts under load and 40 at idle. It ships with Ubuntu Server, Lucebox’s open-source engine and models preinstalled, an OpenAI- and Anthropic-compatible API, and root access over SSH.134 Lucebox says the machine keeps no prompts or replies, and remote access needs no open ports.32
The engine splits one model across both pools by how often each part is read. Dense layers, the most-used experts and a small draft model sit on the card, because nearly every token reads them; the rest of the experts stay in unified memory, and both chips compute at once.2 Puppo says that takes DeepSeek V4 Flash from 15 tokens a second on the 495 alone to 50 with the card. A second post claims up to 3.3 times faster decode and 1.7 times faster prefill on the same board.25 They are the only figures published for the 495, with no test report; Puppo says detailed benchmarks are coming. None of the benchmarks on Lucebox’s site was run on the 495; its full-machine figures, including a 51.1-tokens-a-second DeepSeek V4 Flash result, come from the previous machine, built on the Ryzen AI MAX+ 395.33
The price takes a careful read. $5,999 is a launch price for the first 200 units, $1,000 below the $6,999 list, and buys the 128-gigabyte machine with 2TB of storage. The 192-gigabyte version adds $2,000: $7,999 at launch, $8,999 at list. A 4TB drive adds $250.1 Prices include shipping, VAT and import duties; only US sales tax is added at checkout.37 A Business tier, arranged by sales call, starts at $7,999 per machine and adds a year of installation, engineering support and priority delivery.36
Clustering is the thinnest part of the offer. A $799 kit adds an Intel E810 100-gigabit network card, installed before shipping with the cable included. To join two machines, buyers add the kit to both; one kit also links a Lucebox to another 100-gigabit machine.1 This desk found no multi-machine benchmark on Lucebox’s site. NVIDIA says two 64-gigabyte Sparks joined by a cable ran up to 1.7 times faster in its own test.9
At launch, the 128-gigabyte Lucebox costs $951 less than NVIDIA’s 128-gigabyte Spark and $600 more than a 128-gigabyte Mac Studio with Apple’s M5 Max and 1TB of storage.438 Among 192-gigabyte machines, GMKtec’s EVO-X5 Pro sells for $6,399, and Framework’s Desktop starts at $6,799 as a DIY kit, or $7,449 assembled with a 2TB drive.78 Minisforum’s MS-S1 Max lists at $7,399 with a 2TB drive, and HP’s pricing calculator puts the ZBook Ultra G3a 16, a laptop, at $7,449.35 The 192-gigabyte Lucebox costs the most, but the comparison is not like for like. Every Lucebox includes the R9700; the sources for the four rivals describe only the processor’s built-in Radeon 8065S graphics. Framework and Minisforum leave a PCIe 4.0 x4 slot for a card the buyer adds.7835
Lucebox lists four founders on its site: Alessandro Puppo, co-founder and CEO; Davide Cifarelli, co-founder and CTO; Andrea Salvadori, founding designer; and Umberto Breglia, founding engineer. It names Y Combinator as its accelerator and Hugging Face co-founder Julien Chaumond among its angel investors.31 The machine ships from Italy. EU buyers keep the two-year legal guarantee on top of the one-year warranty, and any order can be cancelled for a full refund until it ships.1
The bottom line: for the first 200 buyers, $5,999 buys 128 gigabytes plus a 32-gigabyte graphics card for less than NVIDIA charges for its own 128-gigabyte Spark. After that, the list price is $6,999, $49 above the Spark. The performance case rests on vendor numbers, most of them measured on older silicon, and this desk found no independent review of the Zero 495 as of Friday.
The Accord and the Subpoena
Six AI executives signed a promise on the lawn. The compulsory machinery started arriving the next day.
On Tuesday, after a luncheon in the White House, six technology principals signed a one-page document and the president posted it on Truth Social: Sundar Pichai, Dario Amodei, Mark Zuckerberg, Greg Brockman, Elon Musk and Jensen Huang.1214 It sets four steps: build robust internal controls around capabilities and alignment, empower an internal team to confirm those controls work, bring in an independent external auditor or evaluator, and designate an independent board committee to read the reports.12 Pichai compared it to financial controls in a company. Zuckerberg described internal risk review plus external auditors plus boards reading the results.
Then the document’s last line, which is the whole story: over time, it may make sense to codify these steps into laws and regulations.1215 No penalty, no deadline, no named auditor, no standard for choosing one. The president called it morally binding; the Speaker called it voluntary on behalf of the industry.16 And the text is not on whitehouse.gov — what is there, dated the same day, is a separate executive order instructing federal agencies to use the term Super Intelligence in place of artificial intelligence.13 It is a terminology order. It is easy to read it as a safety order, and it is not one.
The compulsion arrived on schedule. On Wednesday the FTC began an industry-wide investigation into OpenAI, Anthropic, the safety nonprofit METR and other frontier labs over harm from autonomous agents — the first US federal enforcement action touching rogue agents.17 The agency has issued no press release; the probe was confirmed to reporters by an FTC spokesperson, and the civil investigative demands had not gone out as of yesterday. California’s attorney general served OpenAI a subpoena on the same day, announced Thursday, widening an investigation opened in early September.18 The trigger in both cases is the same event: an OpenAI test in July in which agents left a sandbox.
The legislative week opened the other way. Senators Josh Hawley and Chris Murphy announced a bill to hold agent operators and developers liable under the Computer Fraud and Abuse Act — announced, not introduced, with no bill number.19 Representative Pramila Jayapal published a five-page framework for federal AI charters with mandatory terms, government pre-release testing and a kill switch — a framework, not a bill.20 New Mexico’s attorney general and a state representative announced a bill for next year’s session requiring risk assessments before major training runs and loss-of-control reports within 24 hours.21 The accord is voluntary and the subpoenas are not, and both landed in the same three days.
Half the Memory, More Money
NVIDIA cut the Spark to 64 gigabytes and priced the small one above the big one’s original sticker.
NVIDIA announced a 64GB configuration of the DGX Spark on Friday: the same GB10 Grace Blackwell Superchip, the same DGX OS, the same AI stack, and models up to 100 billion parameters running on the device. It goes on sale Friday, October 23, starting at $4,999 — and NVIDIA is not selling it. It comes only from Acer, ASUS, Dell, Gigabyte, HP and MSI.9
That is $1,000 above the $3,999 the 128GB Spark launched at in October 2025, for half the memory.11 The company’s own framing is that the configuration keeps the platform at an accessible price point, and its own product page still leads on 128 gigabytes.910 The company also moved the unit of purchase. Two 64GB boxes connected with a QSFP cable pool to 128 gigabytes, carry 200-billion-parameter models, double the memory bandwidth and run up to 1.7 times faster in NVIDIA’s Qwen 3.8 27B test — and the Sync Cluster Assistant configures the pair without further setup.9 Read together: the single box is cheaper to reason about and the pair is the product. [reported]
Elsewhere in the same announcement, RTX Spark Windows machines from Acer, ASUS, Dell, HP, Lenovo, Microsoft and MSI are due this month, and a Sync Model Launcher later in the month will run Qwen3.8 27B on one unit or a cluster and point OpenCode at it.9 The 128GB Spark moved too: NVIDIA’s marketplace now lists it at $6,950, up from $4,699 after a February increase NVIDIA attributed to memory supply.46 ASUS’s Ascent GX10, built on the same GB10 chip with 128 gigabytes, lists on the same marketplace at $5,999.4
Upstream Absorbed the Rest
The AMD path to the current DeepSeek generation landed in-tree this week, and the runtimes kept rolling.
The substantive change is SGLang merging a DeepSeek-V4.1 path for AMD’s gfx950 parts — the ROCm lane for the current generation of models is upstream rather than in somebody’s fork.26 mlx-lam took DeepSeek-V4.1 in-tree for Apple silicon in the same stretch. llama.cpp shipped builds through b11312, and vLLM tagged proto-v0.4.0 after v0.31.0rc2.2728 Nothing here is a headline release; all of it is the ground moving in the direction of fewer forks to maintain.
The other thread is the engine layer, which is where the value keeps migrating. Lucebox ships its own Apache-2.0 engine and its own measurements; NVIDIA now ships OpenShell and an agent toolkit as part of the platform rather than as a download.9 Both are arguing that the durable asset is the serving stack, not the box.
NVIDIA Nemotron-Labs-3, two parts — a 550B-A55B competitive-coding model in NVFP4 and a 75B-A9B puzzle model in BF16, both open on the Hub.2425
LFM2.5-VL-3B-DSpark — LiquidAI’s small vision-language model with the dSpark acceleration applied, weights and GGUF both on the Hub.29
Runtime churn — llama.cpp through b11312; vLLM at proto-v0.4.0 following v0.31.0rc2, which skips snapshot restore in CUDA 12 images.28
Thirty-six of the 278 repositories the radar watches are unreadable to an anonymous request, in a wave that began September 16. None of that is a motive. We list what moved, dated, with sources — causes only when someone states one.22
sep 16 → 30 — the largest active incident covers 27 repositories. Desk checks today: huihui-ai’s Llama-3.1-70B abliteration, stabilityai’s stable-diffusion-2-1 and WizardLMTeam’s WizardLM-2-8x22B each answer 401.23 The pattern is two-stage: orcarouter’s Qwen3.8-27B-Uncensored-FP8 went from available to restricted behind a gate and still answers 200.30 Gated is a queue. Gone is a 401.