Supermicro Super AI Station Measures 39-42 dBA in ServeTheHome Review
ServeTheHome's Nov. 5 review finds the Supermicro Super AI Station as fast and as quiet as any DGX Station it has tested, at 39-42 dBA under full load, on a unit Supermicro says needs a NEMA 5-20 outlet.
Local AI DeskEdited by Ege Erten
4 min readAI-assisted
Follows our story: NVIDIA DGX Station Review: 748 GB, 1.6 kW and a $160,195 Dell List Price

Supermicro's own product-page image of the Super AI Station, a GB300 tower sold for deskside or rack use.
Image: Supermicro
Source · Press image from the Supermicro product page, used for news reporting.
Supermicro's Super AI Station, a GB300 machine that works as a deskside tower or a 5U rack server, matched the other DGX Stations on CPU tests in ServeTheHome's Nov. 5 review, which measured 39-42 dBA at full load.
It is the first independent measurement Voltgrid found of Supermicro's build and the third DGX Station through ServeTheHome's lab, after Gigabyte's on Oct. 6 and MSI's on Oct. 23. The platform underneath is the one Voltgrid's DGX Station review covered on Nov. 1: NVIDIA's GB300 Desktop Superchip, with 252 GB of HBM3e on the Blackwell Ultra GPU and 496 GB of LPDDR5X on the 72-core Grace CPU, 748 GB in all. Supermicro's datasheet rates it at up to 20 PFLOPS of FP4 without a sparsity label; NVIDIA's own figure is 20 PFLOPS sparse and 15 PFLOPS dense. Supermicro says it handles models of up to 1 trillion parameters.
What Sparse and Dense FP4 Figures Mean
Peak FP4 figures count how many four-bit operations a chip could finish per second. NVIDIA's DGX Station table lists 20 PFLOPS with sparsity and 15 PFLOPS without it. Sparsity lets the hardware skip zeroed weights, so the sparse figure is higher but applies only to models pruned into the right pattern. Supermicro's datasheet says "up to 20 PFLOPS of FP4" and gives no label.
A measured result is a third thing. ServeTheHome's more than 3,000 tokens per second at 32 users on Qwen3.8 Flash Next depends on the model, the batch and the software, so it ranks neither a 20 nor a 15. Only compare machines on the same label and the same test.
Same speed, low noise
ServeTheHome found the three DGX Stations effectively tied on the CPU. Single-core results on its AgentSTH suite varied by less than 3%. Supermicro's unit posted the best single-core score yet, then placed last, by a small margin, in an estimated SPEC CPU2026 integer-rate run that the outlet compiled at -O3 rather than with vendor tuning.
On the GPU, the outlet ran Qwen3.8 Flash Next with several tool-call input and output patterns, with and without multi-token prediction (MTP), from 1 to 32 concurrent users. Several scenarios passed 3,000 tokens per second at 32 users, ServeTheHome said, and were still rising when the sweep stopped. That is a different model, workload and concurrency from StorageReview's 9,280 tokens per second on gpt-oss-120b at 128 streams on an ASUS build, so the two figures do not rank the machines against each other.

ServeTheHome measured 39-42 dBA on the Supermicro and 46-49 dBA on the MSI in separate reviews, with the distance not stated.
Illustration (AI-generated)
Noise is where the convertible design shows. Because the box must also work in a rack, Supermicro cools it with server-style front-to-back airflow: a thick front radiator with two 140mm fans and two separate liquid loops, one for the GPU and one for the CPU and ConnectX-8 network chip. ServeTheHome measured 36-37 dBA at idle and 39-42 dBA at full load. The same outlet measured MSI's XpertStation WS300 at 46-49 dBA under full load in October, though neither review states the measuring distance. ServeTheHome's verdict is that the Super AI Station is as fast and as quiet as any DGX Station it has seen.
The outlet and the rack
Every DGX Station draws on a 1,600 W budget, and NVIDIA requires a 20 A circuit. Supermicro meets it with a Seasonic 1600W 80 Plus Titanium supply, the first better-than-Platinum unit ServeTheHome has received in a DGX Station, and its datasheet says the system plugs into a NEMA 5-20 outlet in North America. That differs from HP's ZGX Fury, which HP says needs a dedicated 200-240 V circuit and is not meant for a standard 120 V outlet.
Idle draw stays high. ServeTheHome read about 152 W at idle on the GPU, which is capped at 1.3 kW, and about 78 W on the Grace module, capped at 300 W, and saw the system never idle below 250 W. Its sample shipped with a 70 W RTX PRO 2000 Blackwell card for display output, which did not move most results; ServeTheHome puts the RTX PRO 6000 at 300 W and says it would eat into the AI hardware's budget, and the outlet advises adding a card only when a local desktop is needed.
The rack option matters because of the networking. Linking systems over two 400G links, ServeTheHome moved 784.3 Gbps of payload between the Blackwell Ultra GPUs but only 229.0 Gbps between the Grace CPUs, which reach the ConnectX-8 over a PCIe Gen5 x8 link. ServeTheHome sees a strong case for racks of these linked at 800G, and measured a 5U chassis that fits between rack posts. The tower is 701 mm deep and weighs 88 lb, and it needs feet attached to stand on the floor.
ServeTheHome also listed the server habits: no USB-C ports, two 5Gbps USB-A ports on the front, and no labels on the rear I/O of its early unit. It found two of the four M.2 slots wired at PCIe Gen6 x4 through the ConnectX-8, while Supermicro's datasheet lists four M.2 PCIe 5.0 NVMe slots and NVIDIA's DGX Station page lists 4x M.2 Gen 5.
What is not confirmed yet
Supermicro's US store shows no price, and TechRadar reported on Sept. 1 that Supermicro was selling it for $92,887.47 before tax and shipping. The store showed the ARS-511GD-NB-LCC-01-G2 as in stock and ready to ship on Nov. 8. For scale, Dell lists its GB300 build at $160,195 on Dell.com, and MSI's started from $99,999 at Newegg as a request-for-quote listing, as listed Nov. 4. ServeTheHome gave no wall-power figure under load, and Voltgrid found no second outlet that has measured this build. NVIDIA said on Oct. 21 that DGX Station for Windows is due from partners in December.
How it compares
Full table| Product | Memory | Bandwidth | AI compute | Measured speed | Price |
|---|---|---|---|---|---|
| ASUS ExpertCenter Pro ET900N G3ASUS (NVIDIA DGX Station GB300 platform) | 748 GB coherent: 252 GB HBM3e (GPU) + 496 GB LPDDR5X (CPU)[1] | 7.1 TB/s (GPU HBM3e); 396 GB/s (CPU LPDDR5X)[1] | up to 20 PFLOPS AI performance (ASUS gives no precision or sparsity label) (sparse)[2] | GPT-OSS-120B MXFP4, vLLM, 512/512, 1-128 streams: 9,280 aggregate output tok/s at 128 streams; 5,023 on 8,192/1,024 (StorageReview, ASUS-supplied unit, no add-in GPU)[3] | $111,999.99 at Central Computers, US (model ET900N G3-2SSD-V2, request a quote, unavailable online, read Nov 4, 2026); no ASUS list price[4] |
| HP ZGX Fury AI StationHP | 252 GB HBM3e GPU + 496 GB LPDDR5x CPU (4x 128 GB SOCAMM); 748 GB unified[5] | 7.1 TB/s (GPU HBM3e); 396 GB/s (CPU LPDDR5x)[5] | up to 20 petaFLOPS FP4 (HP gives no sparsity label) (sparse)[5] | Two-unit cluster with an ASUS ET900N G3 over two 400G DACs: GLM-5.3 NVFP4 5,018 output tok/s at 256 streams, 512/512, vLLM 0.27.1 TP2 with MTP (StorageReview); no single-unit HP result[6] | Japan list price from 28,490,000 yen incl. tax (sales from Oct 27, 2026); no US list price published[7] |
| NVIDIA DGX StationNVIDIA (systems built by ASUS, Dell, GIGABYTE, HP, MSI, Supermicro and Exxact) | 748 GB coherent: 252 GB HBM3e (GPU) + 496 GB LPDDR5X (CPU)[8] | GPU HBM3e 7.1 TB/s; CPU LPDDR5X 396 GB/s; NVLink-C2C 900 GB/s between them[8] | 15 PFLOPS FP4 (without sparsity)[8] | gpt-oss-120b MXFP4, vLLM, 512/512 chat workload: 9,280 output tok/s at 128 streams (MSI WS300 9,294), single GB300 (StorageReview, ASUS ExpertCenter Pro ET900N G3)[3] | No NVIDIA list price; lowest US partner listing read Nov 4, 2026: Exxact Valence VWS-158270643 from $98,450 (Tom's Hardware found $94,930 in Aug); Dell Pro Precision with GB300 lists $160,195[9] |
| Supermicro Super AI Station (ARS-511GD-NB-LCC)Supermicro (NVIDIA DGX Station platform) | 748 GB total coherent: 252 GB HBM3e GPU + 496 GB LPDDR5X system[10] | 7.1 TB/s (GPU HBM3E); 396 GB/s (CPU LPDDR5X)[11] | up to 20 PFLOPS FP4 (Supermicro gives no sparsity label; ServeTheHome describes it as sparse FP4)[10] | Qwen3.8 Flash Next NVFP4, vLLM, tool-loop 4,096-in/512-out: several scenarios exceeded 3,000 output tok/s at 32 concurrent users, still rising (ServeTheHome; RTX PRO 2000 installed)[12] | — |
| NVIDIA RTX PRO 6000 Blackwell Workstation EditionNVIDIA (sold through PNY, TD SYNNEX and workstation makers) | 96 GB[13] | 1,792 GB/s[13] | 4,000 AI TOPS (FP4, with sparsity) (sparse)[13] | gpt-oss-120b MXFP4, stock vLLM, 512/512 chat workload: 3,064 output tok/s at 128 streams (1,169 on 8,192/1,024 prompts); Server Edition at 600W (StorageReview)[14] | $16,000 on NVIDIA's US marketplace (Workstation Edition), listed out of stock[15] |
| Apple Mac Studio (M5 Ultra)Apple | up to 512 GB unified (96 GB on 30-core M5 Ultra; 256 GB or 512 GB on 36-core/80-core M5 Ultra)[16] | 1.2 TB/s[16] | — | Qwen 3.8 27B 4-bit MLX in LM Studio: about 55 tok/s on M5 Ultra (36-core, 256 GB) vs about 40 on M3 Ultra (BGR)[17] | $22,299 minimum with 512 GB ($6,799 36-core CPU/80-core GPU M5 Ultra config plus $15,500 memory upgrade; Oct 28, 2026)[18] |
| NVIDIA RTX Spark (N1X) PCsNVIDIA (MediaTek collaborated on the custom CPU design) | Up to 128 GB LPDDR5X (20-core CPU / 6,144-core GPU version); up to 64 GB (18-core / 5,120-core laptop version)[19] | Up to 300 GB/s: LPDDR5X-9400 on a 256-bit bus (NVIDIA's product page lists no bandwidth)[20] | — | gpt-oss:20b via Ollama in a Codex CLI coding agent, 64K context: 58.5 tok/s generation, 3 of 4 tasks passed (Dell XPS 16, 20-core N1X, 64 GB; StorageReview)[21] | Laptops from $2,599; pricing and configurations vary by region[22] |
| AMD Ryzen AI Halo (Ryzen AI Max+ PRO 495, 192 GB)AMD | 192 GB LPDDR5X (256-bit)[23] | 273 GB/s[23] | — | — | $7,299.99 for the Linux version (released the week of Oct 12, 2026); Windows version coming soon[23] |
| ASUS Ascent GX10ASUS | 64 GB or 128 GB LPDDR5X-8533 unified[24] | 273 GB/s (8533 MT/s), as listed by StorageReview; ASUS's spec page states no bandwidth[25] | Up to 1 PFLOP FP4 (GB10; NVIDIA's footnote: theoretical, using the sparsity feature). ASUS's pages say 1 petaFLOP / FP4 with no sparsity label (sparse)[26] | gpt-oss-120b, vLLM online serving, equal ISL/OSL: 70 tok/s at batch 1 rising to 680 tok/s aggregate at batch 64 (StorageReview)[25] | $5,999 (128 GB, 1 TB, GX10-GG0010BN, ASUS eShop US, Oct 30, 2026)[27] |
| Dell Pro Precision with GB10 (model FCM1253; launched as Dell Pro Max with GB10)Dell | 128 GB LPDDR5x up to 8533 MT/s onboard (64 GB option also listed)[28] | 273 GB/s (128 GB LPDDR5x, 256-bit)[29] | — | gpt-oss-120b, vLLM online serving, equal ISL/OSL: 68.57 tok/s at batch 1 rising to 670.83 tok/s aggregate at batch 64 (StorageReview)[30] | $7,901 (128 GB, 2 TB Gen4 QLC SSD default config FCM1253, Dell.com US, in stock, read Nov 8, 2026 15:14 UTC); 64GB LPDDR5x option listed at a $2,150 difference[28] |
| Framework Desktop (Ryzen AI Max+ PRO 495, 192 GB)Framework | 192 GB LPDDR5X-8533 soldered[31] | 273 GB/s (256-bit)[31] | — | — | $6,799 (Max+ PRO 495 192 GB DIY Edition pre-order, Nov 3, 2026; storage not included)[32] |
| GIGABYTE AI TOP ATOMGIGABYTE | 128 GB unified system memory[33] | 273 GB/s (LPDDR5x-8533, 256-bit)[34] | — | gpt-oss-120b, vLLM online serving, equal ISL/OSL: 60.71 tok/s at batch 1 rising to 649.62 tok/s aggregate at batch 64 (StorageReview)[34] | $7,312.00 advertised at CDW US against a $7,999.99 list (128 GB, 4 TB, ATAGB10-9000; read Nov 2, 2026)[35] |
| GMKtec EVO-X5 Pro AI Mini PCGMKtec | 192 GB LPDDR5X-8533 onboard (8 x 24 GB, non-upgradeable); up to 160 GB allocatable as VRAM[36] | Up to 273 GB/s[37] | — | GMKtec Laboratory table: GLM-5.3-Flash UD-IQ4_XS (146.05 GB) decode 17.79 tok/s, prefill 70.18, TTFT 14.71 s; Qwen3.8-Flash-Next ROCmFP4-FAST (93.48 GB) decode 45.08 tok/s[36] | $6,799 (192 GB/2 TB) and $7,099 (192 GB/4 TB), GMKtec US store, Nov 2, 2026[36] |
| HP ZGX Nano AI Station (G1n)HP | 128 GB coherent unified system memory[38] | 273 GB/s (128 GB LPDDR5x)[39] | GB10: up to 1 PFLOP FP4, theoretical, using the sparsity feature; HP and reviewers list 1,000 TOPS FP4 (sparse)[26] | gpt-oss-120b, vLLM online serving, equal ISL/OSL: 69.6 tok/s at batch 1 rising to 722.9 tok/s aggregate at batch 64 (StorageReview)[40] | $7,399.00 at the HP Store for the 4 TB model; $4,759 on Amazon (Notebookcheck, review updated Oct 5, 2026)[41] |
| Lenovo ThinkStation PGXLenovo | 128 GB LPDDR5X unified (256-bit)[42] | 273 GB/s[42] | — | — | about $4,100 for the 1 TB configuration (Mar 2026)[43] |
| MSI EdgeXpert (MS-C931)MSI | 64 GB or 128 GB LPDDR5x unified (256-bit)[44] | 273 GB/s[44] | 1 PFLOPS FP4 (sparse)[44] | — | No list price; MSI sells via quote (Get a quote)[44] |
| NVIDIA DGX SparkNVIDIA (partner GB10 systems from Acer, ASUS, Dell, GIGABYTE, HP, Lenovo and MSI) | 128 GB; a 64 GB configuration is sold only through OEM partners[26] | 273 GB/s[26] | Up to 1 PFLOP FP4 (theoretical, using the sparsity feature) (sparse)[26] | Qwen 3.8 27B (dense) with multi-token prediction: decode of about 20 tokens/s, with time-to-first-token staying interactive out to the full 262K context.[45] | $6,950.00 (128 GB, 4 TB) on NVIDIA's enterprise marketplace with an Add To Cart button in a copy cached 07:59 UTC on 2026-10-31; stock unverified (listed out of stock on 2026-10-21); 64 GB partner systems from $4,999[46] |
| NVIDIA DGX Spark 64 GBNVIDIA (sold by Acer, ASUS, Dell, Gigabyte, HP and MSI) | 64 GB LPDDR5X unified (two units pool 128 GB over ConnectX-7)[47] | 273 GB/s (256-bit; NVIDIA spec table covers both 64 GB and 128 GB)[26] | 1 PFLOPS FP4 (sparse; NVIDIA spec table covers both memory configurations)[26] | — | from $4,999 (partner systems, Oct 2026; no Founders Edition)[47] |
| Sipeed MaixStationSipeed | 128 GB LPDDR5X (256-bit)[23] | 273 GB/s (Sipeed claim)[23] | 256 TOPS FP4 (native FP4, no sparsity; Axera/Sipeed claim)[23] | — | about $3,999 expected for 128 GB, with Kickstarter launch discounts (Sipeed to Tom's Hardware, Oct 2026)[23] |
| AMD Ryzen AI Halo Developer PlatformAMD | 128 GB LPDDR5x-8000 unified[48] | 256 GB/s[48] | — | gpt-oss-120b, vLLM online serving, equal ISL/OSL 256/256: 222 tok/s aggregate at batch 64 vs 701 on DGX Spark (StorageReview)[49] | $3,999 with 2 TB SSD (Jul 2026)[49] |
| Framework Desktop (Ryzen AI Max+ 395)Framework | 128 GB LPDDR5x-8000 soldered (32 GB and 64 GB options)[50] | 256 GB/s[51] | — | gpt-oss-120b MXFP4 in LM Studio (out-of-the-box setup): roughly 45 tok/s (ServeTheHome; Ryzen AI Max+ 395, 128 GB, Windows 11 Pro)[52] | $3,449 (DIY Edition, Max+ 395 with 128 GB, system only; out of stock, Nov 3, 2026)[53] |
| Acer Veriton GN100 AI Mini WorkstationAcer | 128 GB LPDDR5x coherent unified[54] | — | — | gpt-oss-120b, vLLM, total token throughput: prefill heavy 303.61 to 2,777.56 tok/s; decode heavy 38.38 to 292.41 tok/s (batch 1 to 64, StorageReview)[55] | from $3,999 in North America (announced Sep 3, 2025; prices vary by region)[54] |
| ASRock Industrial AI BOX-A395ASRock Industrial | 128 GB LPDDR5X-8000 soldered[56] | — | — | AgentSTH V7, 32 threads: 15% ahead of the next-closest Ryzen AI Max+ 395 box (single-core within 1%); estimated SPEC CPU2026 int rate: top of a 44% spread across four 395 systems; measured by ServeTheHome, Ubuntu 26.04[57] | — |
| Dell Pro Precision with GB300 (model FCT6263; announced as Dell Pro Max with GB300)Dell | 252 GB HBM3e GPU + 496 GB LPDDR5X CPU[58] | — | — | — | $160,195.00 (Dell.com US default config FCT6263 with RTX PRO 2000 display GPU, read Nov 4, 2026); RTX PRO 6000 Workstation Edition option adds $13,560[58] |
| GMKtec EVO-X2 AI Mini PCGMKtec | 64 GB or 128 GB onboard LPDDR5X-8000 (non-upgradeable)[59] | — | — | Llama 3.3 70B Q6_K Instruct: 3.7-3.8 tok/s generation fully on the Radeon 8060S (about 2 tok/s CPU-only); Qwen3-32B 10.4-10.5 tok/s; 128 GB unit, short prompt, tool not named (ServeTheHome)[60] | $3,499.99 (128 GB/1 TB) and $3,649.99 (128 GB/2 TB), each against $3,999.99; $2,199.99 for 64 GB/1 TB against $2,599.99 (GMKtec US store, read Nov 8, 2026)[59] |
| HP Z2 Mini G1a WorkstationHP | up to 128 GB unified, up to 96 GB assignable to the GPU, up to 8000 MT/s[61] | — | up to 50 NPU TOPS[61] | gpt-oss-120b GGUF (63.39 GB, full GPU offload) in LM Studio: close to 40 tok/s (StorageReview)[62] | $4,781 list for StorageReview's review configuration; about $3,300 street (B&H top spec with 2 TB SSD at $3,342.65, Aug 2025)[62] |
| Microsoft Surface RTX Spark Dev BoxMicrosoft | 128 GB unified memory[63] | — | up to 1 PFLOP of AI compute (Microsoft; precision and sparsity not stated on the page) (sparse)[63] | — | From $5,999.99 (Microsoft Store US, pre-order, read Nov 1, 2026)[63] |
| MSI XpertStation WS300MSI (NVIDIA DGX Station platform) | 252 GB HBM3e GPU + 496 GB LPDDR5X CPU (748 GB coherent)[64] | — | — | StorageReview vLLM: gpt-oss-120b MXFP4 9,294 output tok/s at 128 streams (512/512), 5,038 on 8,192/1,024; MiniMax M3 NVFP4 1,041 at 32 streams with EAGLE3-GQA at a forced acceptance length of 3 (best-case)[64] | $99,999.00 'Start From' at Newegg US (model WS300T60L, 2x 2 TB NVMe RAID1), sold by Newegg as a request-a-quote listing (read Nov 4, 2026)[65] |
| Tenstorrent TT-QuietBox 2 (Blackhole)Tenstorrent | 128 GB GDDR6 on the accelerators + 256 GB DDR5-5600 system memory[66] | — | — | — | $9,999 (Oct 30, 2026)[66] |
| WiCi One (RTX 5060 Ti edition)WiCi | 16 GB GDDR7 VRAM; 1 TB NVMe 4 SSD for TurboStream weight paging (WiCi's claim: NVMe used as working VRAM). System RAM not stated[67] | — | — | — | $2,599 list (WiCi shop, Oct 2026); a $600-off code (WICIWELCOME) is applied at checkout. Early-access price was $1,999 (Notebookcheck, Engadget, Sep 2026)[67] |
| WiCi One (RTX 5090 edition)WiCi | 32 GB GDDR7 VRAM; 4 TB NVMe 5 SSD for TurboStream weight paging (WiCi's claim: NVMe used as working VRAM). System RAM not stated[67] | — | — | — | $9,999 list (WiCi shop, Oct 2026); a $600-off code (WICIWELCOME) is applied at checkout[67] |
Italic values are reported by an outlet or measured by an independent lab; the rest come from the maker. Measured speeds use different models, quantizations and tools, so read each with its source rather than against the others. Voltgrid News does not test hardware itself.
Sources (67)
- [1] ASUS
- [2] ASUS
- [3] StorageReview
- [4] Central Computers
- [5] HP
- [6] StorageReview
- [7] HP Japan
- [8] NVIDIA
- [9] Exxact
- [10] Supermicro
- [11] ServeTheHome
- [12] ServeTheHome
- [13] NVIDIA
- [14] StorageReview
- [15] NVIDIA
- [16] Apple
- [17] BGR
- [18] MacRumors
- [19] NVIDIA
- [20] ServeTheHome
- [21] StorageReview
- [22] NVIDIA
- [23] Tom's Hardware
- [24] ASUS
- [25] StorageReview
- [26] NVIDIA
- [27] ASUS eShop
- [28] Dell
- [29] HotHardware
- [30] StorageReview
- [31] Framework Blog
- [32] Framework
- [33] GIGABYTE (PR Newswire)
- [34] StorageReview
- [35] CDW
- [36] GMKtec
- [37] GMKtec
- [38] HP
- [39] HotHardware
- [40] StorageReview
- [41] Notebookcheck
- [42] Lenovo PSREF
- [43] ServeTheHome
- [44] MSI
- [45] Tom's Hardware
- [46] NVIDIA Marketplace
- [47] NVIDIA Blog
- [48] AMD
- [49] StorageReview
- [50] Framework
- [51] Framework Blog
- [52] ServeTheHome
- [53] Framework
- [54] Acer
- [55] StorageReview
- [56] ServeTheHome
- [57] ServeTheHome
- [58] Dell
- [59] GMKtec
- [60] ServeTheHome
- [61] HP
- [62] StorageReview
- [63] Microsoft
- [64] StorageReview
- [65] Newegg
- [66] Tenstorrent
- [67] WiCi







