{ "guide": { "slug": "nvidia-dgx-spark", "archetype": "buyer", "title": "NVIDIA DGX Spark Buyer Guide", "subtitle": "A source-grounded choice for buyers evaluating NVIDIA's compact GB10 AI desktop against certified OEM implementations.", "summary": "Choose DGX Spark when CUDA, NVIDIA containers, unified memory, and a desktop-to-cluster path matter more than general desktop flexibility. The reference box is compact and well-defined, but its fixed Arm Linux design, short internal storage ceiling, and variant-dependent availability deserve a configuration check before purchase. As an Amazon Associate, Field Guides may earn from qualifying purchases.", "category": { "slug": "hardware", "name": "Hardware", "description": "Product factsheets for computers, devices, peripherals, and buying decisions." }, "tags": [ "dgx-spark", "gb10", "local-ai", "nvidia", "ai-workstations", "cuda", "buyer-guide" ], "version": "2026-10-18.3", "publishedAt": "2026-10-18", "updatedAt": "2026-10-18", "freshness": "Official manufacturer specifications, current regional offer pages, direct/indexed product identity evidence, independent reviews, and a labeled community signal were checked on 2026-10-18. Recheck price, stock, seller, fulfillment, warranty, software support, and exact configuration before buying.", "heroLabel": "GB10 AI desktop buyer guide", "vaultPath": "Research/Technology/Hardware/NVIDIA DGX Spark Buyer Guide.md", "r2JsonKey": "guides/nvidia-dgx-spark/2026-10-18.3.json", "thesisCards": [ { "label": "The fit", "title": "DGX Spark is a specialized AI appliance, not a general mini PC.", "body": "Its value comes from the GB10/NVIDIA software path, unified memory, and ConnectX-7 clustering story. Buyers who need broad x86 desktop software, graphics expansion, or upgradeable memory should treat the compact chassis as a constraint." }, { "label": "The choice", "title": "Choose the reference box when the NVIDIA path is the product.", "body": "OEM systems share the silicon, but storage, cooling, service, price, and regional availability differ. That makes the partner matrix a real buying decision rather than a cosmetic comparison." }, { "label": "The caveat", "title": "The headline FP4 figure does not predict your model throughput.", "body": "NVIDIA's up-to-1-PFLOP figure is manufacturer capability language. Workload fit depends on model format, software support, memory pressure, storage, thermals, and the workflow you actually run." } ], "stats": [ { "label": "Reference memory", "value": "128GB", "note": "Coherent unified memory on the established DGX Spark tier; 64GB is the announced OEM tier." }, { "label": "Reference storage", "value": "1TB / 4TB", "note": "Self-encrypting NVMe M.2 options; confirm the exact configuration." }, { "label": "Cluster fabric", "value": "200Gbps", "note": "ConnectX-7 QSFP path for multi-node linking, not a requirement for single-box use." }, { "label": "Observed US state", "value": "$4,699 / out of stock", "note": "NVIDIA Marketplace 128GB/4TB observation on 2026-10-18; not an Amazon offer." } ], "commerce": { "disclosure": "As an Amazon Associate, Field Guides may earn from qualifying purchases. This does not change the guide recommendation.", "primaryLinkId": "amazon-dgx-spark-b0fwj16cch", "priceApi": { "provider": "amazon-paapi", "status": "ready_when_configured", "note": "Amazon product pages were identity-checked, but final offer details remain checkout-dependent; recheck price, seller, fulfillment, delivery, configuration, and returns before buying." }, "links": [ { "id": "amazon-dgx-spark-b0fwj16cch", "merchant": "Amazon", "title": "NVIDIA DGX Spark — Personal AI Desktop Supercomputer", "label": "Check DGX Spark on Amazon", "description": "Direct Amazon identity page for NVIDIA DGX Spark. The captured title confirms the GB10 family; confirm memory/storage variant and final offer terms at checkout.", "url": "https://www.amazon.com/dp/B0FWJ16CCH?tag=sourcebottle-20", "relationship": "affiliate", "role": "target", "asin": "B0FWJ16CCH", "factCard": { "eyebrow": "Amazon identity", "summary": "DGX Spark product-family page with GB10 identity", "details": [ "The exact title confirms the NVIDIA DGX Spark and GB10 Grace Blackwell chip.", "The title does not prove the 128GB/4TB configuration or current offer." ], "caveat": "Treat this as identity evidence, not stock, price, seller, or configuration proof." } }, { "id": "nvidia-dgx-spark-direct", "merchant": "NVIDIA", "title": "NVIDIA DGX Spark", "label": "Check the NVIDIA configuration", "description": "Official NVIDIA product and configuration page for memory, storage, ports, OS, and platform documentation.", "url": "https://www.nvidia.com/en-us/products/workstations/dgx-spark/", "relationship": "direct", "role": "alternative", "factCard": { "eyebrow": "Manufacturer reference", "summary": "The platform reference for DGX Spark", "details": [ "Use it to verify current memory/storage and software details.", "NVIDIA Marketplace is the source for the dated observed US offer state." ], "caveat": "Manufacturer pages can change by region and configuration." } }, { "id": "gigabyte-ai-top-atom-direct", "merchant": "GIGABYTE", "title": "GIGABYTE AI TOP ATOM", "label": "Compare an OEM implementation", "description": "A compact OEM implementation of the same GB10 platform with vendor-specific storage, chassis, and software details.", "url": "https://www.gigabyte.com/AI-TOP-PC/GIGABYTE-AI-TOP-ATOM?lan=en", "relationship": "direct", "role": "alternative", "factCard": { "eyebrow": "OEM alternative", "summary": "AI TOP ATOM keeps the GB10 baseline while changing the chassis and storage choices", "details": [ "Use the OEM page for ports, storage, and regional model variants.", "Do not treat its advertised capability as a DGX Spark benchmark." ], "caveat": "Exact Amazon identity is separate from the NVIDIA product." } } ] }, "sections": [ { "id": "bottom-line", "eyebrow": "Bottom line", "title": "DGX Spark makes sense when CUDA deployment parity matters more than general desktop flexibility.", "body": "Choose DGX Spark for local model development, CUDA-first tooling, NVIDIA containers, and a compact path toward multi-node ConnectX-7 work. Its 128GB unified-memory reference design is the attraction, but the system is an Arm Linux appliance with fixed memory and a narrow purpose; a conventional workstation is easier when you need broad desktop software, upgradeable components, or ordinary graphics work." }, { "id": "hardware-snapshot", "eyebrow": "Hardware", "title": "The reference unit is small, dense, and deliberately fixed.", "table": { "columns": [ "Area", "DGX Spark reference", "Buyer implication" ], "rows": [ [ "Compute", "GB10 Grace Blackwell; 20-core Arm CPU; up to 1 PFLOP FP4 advertised", "Use the figure as a manufacturer ceiling, not a benchmark or tokens/sec promise." ], [ "Memory", "128GB coherent unified memory; 64GB OEM tier announced for Oct. 23, 2026", "Memory is onboard; choose the tier before purchase rather than planning a DIMM upgrade." ], [ "Storage", "1TB or 4TB self-encrypting NVMe M.2", "The internal ceiling is modest for a workstation with large local datasets; plan external or network storage." ], [ "I/O and network", "4 USB-C, HDMI 2.1a, 10GbE, Wi-Fi 7, Bluetooth 5.4, ConnectX-7 up to 200Gbps", "The QSFP fabric is a cluster feature; it does not make a single unit a general-purpose server." ], [ "Size and power", "150 × 150 × 50.5mm, 1.2kg, 240W supply, 140W GB10 TDP", "The adapter and airflow deserve desk-space planning despite the tiny chassis." ] ] } }, { "id": "platform-delta", "eyebrow": "Platform delta", "title": "The GB10 baseline is shared; the enclosure and channel are the real product choices.", "table": { "columns": [ "Choice", "What stays common", "What changes" ], "rows": [ [ "NVIDIA DGX Spark", "GB10, unified memory, DGX OS, ConnectX-7", "NVIDIA reference chassis, marketplace channel, noise specification, and support path." ], [ "OEM Spark systems", "GB10 platform and NVIDIA software story", "Storage generation/capacity, fan and heat design, ports, adapter rating, warranty, service, and regional pricing." ], [ "Conventional workstation", "More familiar x86 or modular desktop workflows", "May lack the unified-memory capacity and NVIDIA desktop-to-cluster path that motivates DGX Spark." ] ] } }, { "id": "workflow-fit", "eyebrow": "Workflow", "title": "Buy it for the software path and memory model, not the headline alone.", "bullets": [ "The strongest fit is a developer or small team that wants to iterate locally on NVIDIA tooling before moving workloads to a larger NVIDIA environment.", "The ConnectX-7 ports matter when you intend to link systems; for a one-box desk, ordinary display, USB, and 10GbE connections are the more immediate setup decisions.", "DGX OS is Ubuntu-based and Arm-native. Confirm that every compiler, container, driver, and desktop application in the workflow supports the architecture before buying.", "The fixed memory and short internal M.2 slots make external NVMe, network storage, and backup planning part of the purchase rather than afterthoughts." ] }, { "id": "review-signal", "eyebrow": "Review signal", "title": "Independent reviewers see a capable AI appliance, with thermals and software maturity carrying the caveats.", "table": { "columns": [ "Source", "What it adds", "Boundary" ], "rows": [ [ "StorageReview platform review", "Treats DGX Spark as a compact AI appliance and discusses its local-development role and unified-memory advantage.", "Platform review, not a guarantee for every OEM chassis or software version." ], [ "StorageReview thermal comparison", "Measured the NVIDIA Founders Edition alongside Acer, ASUS, Dell, and GIGABYTE and found meaningful cooling differences between implementations.", "The measurements are a specific test setup; they do not establish a universal vendor ranking or cover HP, Lenovo, or MSI." ], [ "Ars Technica and The Register", "Frame the system as a new desktop AI category with an Arm/DGX OS workflow rather than a normal mini PC.", "Launch-era reviews are historical context; pricing and software behavior need current checks." ], [ "Community signal", "NVIDIA forum and Reddit discussions raise recurring questions about thermal behavior, fan behavior, and CUDA/software maturity.", "Anecdotal troubleshooting signal, not prevalence, safety, or benchmark evidence." ] ] } }, { "id": "comparison-ladder", "eyebrow": "Buying matrix", "title": "Choose the platform implementation that matches the operating constraint.", "table": { "columns": [ "Option", "Best for", "What you gain", "What you give up" ], "rows": [ [ "DGX Spark — {{commerce:amazon-dgx-spark-b0fwj16cch|check the Amazon identity}}", "NVIDIA-first local development and a reference software path", "Direct NVIDIA platform, DGX OS, 128GB/4TB reference configuration, and the clearest ConnectX-7 story", "The Amazon title does not establish variant or offer details; fixed memory and short internal storage remain." ], [ "DGX Spark — {{commerce:nvidia-dgx-spark-direct|check NVIDIA configurations}}", "Buyers who can verify an official regional channel", "Current manufacturer specs and marketplace context", "NVIDIA Marketplace showed the 128GB/4TB page out of stock during this check." ], [ "GIGABYTE AI TOP ATOM — {{commerce:gigabyte-ai-top-atom-direct|compare the OEM design}}", "A buyer who values OEM chassis/storage choices", "Vendor-specific 4TB PCIe 5.0 option and a compact 1.2L design", "It is a separate product family with its own support and regional offer path." ] ] } }, { "id": "compatibility", "eyebrow": "Compatibility", "title": "Check architecture, storage, and network assumptions before the order.", "bullets": [ "Arm Linux compatibility is a first-order requirement; validate proprietary tools, containers, and peripherals rather than assuming an x86 desktop path.", "Unified memory is shared by CPU and GPU. Large models can fit differently from a discrete-GPU workstation, but memory capacity does not guarantee usable context, speed, or application support.", "The 200Gbps ConnectX-7 fabric is a cluster link. A single unit still needs a normal display or headless-management plan, and the cable/transceiver path is a separate cost and compatibility question.", "NVIDIA reports ECMA-109 operating sound power of 35dB and idle sound power of 19dB. Those are reference measurements, not a promise that every workload or room will sound the same." ] }, { "id": "availability", "eyebrow": "Availability", "title": "The current configuration and the future 64GB tier are different buying decisions.", "table": { "columns": [ "State", "Evidence checked 2026-10-18", "How to read it" ], "rows": [ [ "128GB/4TB NVIDIA Marketplace", "Official US page showed $4,699.00 and Out of Stock", "Observed manufacturer state; recheck before treating it as buyable." ], [ "Amazon family identity", "Direct page B0FWJ16CCH exposed an exact DGX Spark/GB10 title", "Identity only; memory/storage, seller, price, and stock remain unverified." ], [ "64GB configuration", "NVIDIA announced participating OEM availability starting Oct. 23, 2026", "Upcoming on this date, and not the same as a current NVIDIA-branded 64GB checkout offer." ] ] } }, { "id": "decision", "eyebrow": "Decision", "title": "Buy DGX Spark when the NVIDIA path is the product.", "table": { "columns": [ "If your job is", "Pick", "Why" ], "rows": [ [ "CUDA and NVIDIA deployment parity on a compact desk", "DGX Spark", "The OS, unified memory, Blackwell stack, and ConnectX-7 path are the reason to accept the appliance constraints." ], [ "General desktop use, gaming, or broad x86 software", "A conventional workstation or Mac", "The GB10 form factor is specialized; its headline does not replace general-purpose expansion or compatibility." ], [ "A multi-node prototype", "DGX Spark or a certified OEM after checking ports and support", "The platform has a real 200Gbps fabric, but cabling and software operations must be part of the plan." ], [ "A purchase based on a single benchmark headline", "Pause", "The cited PF4/AI TOPS figures are theoretical manufacturer claims, not a workload result." ] ] } }, { "id": "product-links", "eyebrow": "Product links", "title": "Use the official page and Amazon identity page to verify the exact configuration.", "body": "Prices, stock, memory tiers, and sellers move. Confirm the exact variant, warranty, delivery, included adapter, software image, and return terms before buying. As an Amazon Associate, Field Guides may earn from qualifying purchases." } ], "sources": [ { "id": "nvidia-cert", "title": "NVIDIA Certified Systems", "publisher": "NVIDIA", "url": "https://docs.nvidia.com/certification-programs/latest/nvidia-certified-systems.html", "accessedAt": "2026-10-18", "sourceType": "official", "role": "spec" }, { "id": "nvidia-dgx-product", "title": "NVIDIA DGX Spark", "publisher": "NVIDIA", "url": "https://www.nvidia.com/en-us/products/workstations/dgx-spark/", "accessedAt": "2026-10-18", "sourceType": "official", "role": "spec" }, { "id": "nvidia-dgx-hardware", "title": "DGX Spark Hardware Overview", "publisher": "NVIDIA", "url": "https://docs.nvidia.com/dgx/dgx-spark/hardware.html", "accessedAt": "2026-10-18", "sourceType": "official", "role": "spec" }, { "id": "nvidia-marketplace", "title": "DGX Spark US Marketplace", "publisher": "NVIDIA", "url": "https://marketplace.nvidia.com/en-us/enterprise/personal-ai-supercomputers/dgx-spark/", "accessedAt": "2026-10-18", "sourceType": "official", "role": "availability" }, { "id": "nvidia-64gb", "title": "Local AI Gets a Boost with 64GB NVIDIA DGX Spark and NVIDIA Sync", "publisher": "NVIDIA Blog", "url": "https://blogs.nvidia.com/blog/local-ai-dgx-spark-64gb-sync/", "accessedAt": "2026-10-18", "sourceType": "official", "role": "availability" }, { "id": "sr-thermal", "title": "NVIDIA DGX Spark Thermal Test: How OEM Cooling Designs Stack Up", "publisher": "StorageReview", "url": "https://www.storagereview.com/review/nvidia-dgx-spark-thermal-test-how-oem-cooling-designs-stack-up", "accessedAt": "2026-10-18", "sourceType": "review", "role": "review" }, { "id": "sr-spark", "title": "NVIDIA DGX Spark Review: The AI Appliance Bringing Datacenter Capabilities to Desktops", "publisher": "StorageReview", "url": "https://www.storagereview.com/review/nvidia-dgx-spark-review-the-ai-appliance-bringing-datacenter-capabilities-to-desktops", "accessedAt": "2026-10-18", "sourceType": "review", "role": "review" }, { "id": "ars-spark", "title": "Nvidia sells tiny new computer that puts big AI on your desktop", "publisher": "Ars Technica", "url": "https://arstechnica.com/ai/2025/10/nvidia-sells-tiny-new-computer-that-puts-big-ai-on-your-desktop/", "accessedAt": "2026-10-18", "sourceType": "review", "role": "review" }, { "id": "register-spark", "title": "DGX Spark: first look", "publisher": "The Register", "url": "https://www.theregister.com/2025/10/14/dgx_spark_review/", "accessedAt": "2026-10-18", "sourceType": "review", "role": "review" }, { "id": "community-thermal", "title": "What are the thermal characteristics of each of the Spark variants?", "publisher": "NVIDIA Developer Forums", "url": "https://forums.developer.nvidia.com/t/what-are-the-thermal-characteristics-of-each-of-the-spark-variants/381192", "accessedAt": "2026-10-18", "sourceType": "community", "role": "community-signal" }, { "id": "community-local", "title": "DGX Spark hits 90–95C and token/sec drops — any cooling or heatsink recommendations?", "publisher": "Reddit r/LocalLLM", "url": "https://www.reddit.com/r/LocalLLM/comments/1ssiz9w/dgx_spark_hits_9095c_and_tokensec_drops_any/", "accessedAt": "2026-10-18", "sourceType": "community", "role": "community-signal" } ], "claims": [ { "id": "reference-specs", "claim": "NVIDIA DGX Spark uses the GB10 Grace Blackwell Superchip with a 20-core Arm CPU, 128GB coherent unified memory, and 1TB or 4TB NVMe options.", "sourceId": "nvidia-dgx-product", "evidenceType": "official", "confidence": "high", "caveat": "The 64GB tier is an announced OEM configuration; memory is onboard and variant-specific.", "guideLocation": "Hardware snapshot", "sectionId": "hardware-snapshot" }, { "id": "reference-io", "claim": "The reference system exposes four USB-C ports, HDMI 2.1a, 10GbE, Wi-Fi 7, Bluetooth 5.4, and ConnectX-7 networking up to 200Gbps.", "sourceId": "nvidia-dgx-hardware", "evidenceType": "official", "confidence": "high", "caveat": "OEM partner systems can vary in port count, Bluetooth revision, adapter, and QSFP exposure.", "guideLocation": "Hardware snapshot", "sectionId": "hardware-snapshot" }, { "id": "advertised-capability", "claim": "NVIDIA advertises up to 1 PFLOP FP4 AI compute for DGX Spark.", "sourceId": "nvidia-dgx-product", "evidenceType": "official", "confidence": "high", "caveat": "This is theoretical manufacturer capability, not a benchmark, sustained throughput, or tokens/sec result.", "guideLocation": "Platform delta", "sectionId": "platform-delta" }, { "id": "platform-physical", "claim": "NVIDIA lists 150 x 150 x 50.5mm, 1.2kg, a 240W supply, and a 140W GB10 TDP.", "sourceId": "nvidia-dgx-product", "evidenceType": "official", "confidence": "high", "caveat": "Adapter, chassis, and cooling behavior are vendor-specific across the Spark ecosystem.", "guideLocation": "Hardware snapshot", "sectionId": "hardware-snapshot" }, { "id": "noise-reference", "claim": "NVIDIA reports ECMA-109 operating sound power of 35dB and idle sound power of 19dB for the reference system.", "sourceId": "nvidia-dgx-product", "evidenceType": "official", "confidence": "medium", "caveat": "Noise depends on test conditions, firmware, workload, room, and unit; do not rank OEMs from this one reference measurement.", "guideLocation": "Compatibility", "sectionId": "compatibility" }, { "id": "marketplace-state", "claim": "NVIDIA Marketplace US showed the 128GB/4TB DGX Spark at $4,699.00 and Out of Stock on 2026-10-18.", "sourceId": "nvidia-marketplace", "evidenceType": "official", "confidence": "high", "caveat": "This is an observed regional page state, not a live Amazon value or durable availability promise.", "guideLocation": "Availability", "sectionId": "availability" }, { "id": "memory-announcement", "claim": "NVIDIA announced a 64GB DGX Spark configuration through participating OEMs with availability starting October 23, 2026.", "sourceId": "nvidia-64gb", "evidenceType": "official", "confidence": "high", "caveat": "As of October 18, the tier is upcoming; the announcement does not prove a current NVIDIA-branded checkout offer.", "guideLocation": "Availability", "sectionId": "availability" }, { "id": "review-platform", "claim": "Independent reviews frame DGX Spark as a specialized AI appliance with a large unified-memory model-development role rather than an ordinary mini PC.", "sourceId": "sr-spark", "evidenceType": "review", "confidence": "medium", "caveat": "Review conclusions are historical and workload-specific; current software and offer state require rechecking.", "guideLocation": "Review signal", "sectionId": "review-signal" }, { "id": "review-thermal", "claim": "StorageReview measured meaningful thermal differences among the NVIDIA Founders Edition and several OEM Spark implementations.", "sourceId": "sr-thermal", "evidenceType": "review", "confidence": "medium", "caveat": "The comparison covered five systems and one workload/test setup; it is not a complete vendor ranking.", "guideLocation": "Review signal", "sectionId": "review-signal" }, { "id": "community-signal", "claim": "NVIDIA forum and Reddit discussions contain recurring owner questions about temperatures, fan behavior, and CUDA/software maturity.", "sourceId": "community-thermal", "evidenceType": "community", "confidence": "low", "caveat": "Community reports are anecdotal and do not establish prevalence, safety, or root cause.", "guideLocation": "Review signal", "sectionId": "review-signal" }, { "id": "arm-workflow", "claim": "DGX Spark runs NVIDIA DGX OS on an Arm-based platform, so application and container architecture support must be checked before purchase.", "sourceId": "ars-spark", "evidenceType": "review", "confidence": "medium", "caveat": "Launch-era reporting is contextual; verify the current software stack and exact packages for the planned workflow.", "guideLocation": "Workflow", "sectionId": "workflow-fit" }, { "id": "cluster-link", "claim": "ConnectX-7 and the 200Gbps QSFP path are intended for linking systems, so cabling and cluster operations are separate planning requirements.", "sourceId": "nvidia-dgx-hardware", "evidenceType": "official", "confidence": "high", "caveat": "A single unit can run without a cluster, and port/transceiver details can differ by OEM.", "guideLocation": "Compatibility", "sectionId": "compatibility" }, { "id": "fixed-memory", "claim": "The unified memory is onboard rather than a normal DIMM upgrade path.", "sourceId": "nvidia-dgx-product", "evidenceType": "official", "confidence": "high", "caveat": "Do not treat the 64GB/128GB choice as a later memory upgrade.", "guideLocation": "Compatibility", "sectionId": "compatibility" } ], "relatedGuides": [ { "slug": "acer-veriton-gn100", "role": "alternative", "rank": 1, "reason": "Choose Acer when the reviewed cooling behavior and a 4TB configuration matter; the thermal result is sample-specific." }, { "slug": "asus-ascent-gx10", "role": "alternative", "rank": 2, "reason": "Choose ASUS for an explicit memory and SSD menu, including a 4TB PCIe 5.0 option." }, { "slug": "hp-zgx-nano-ai-station", "role": "alternative", "rank": 3, "reason": "Choose HP when encrypted storage and documented security controls matter; verify the exact SKU and certifications." }, { "slug": "dell-pro-max-gb10", "role": "alternative", "rank": 4, "reason": "Choose Dell when regional service options and organizational procurement matter; confirm FCM1253 configuration and support." } ], "comparison": { "title": "Compare GB10 desktop AI workstations", "intro": "Five use-case choices from the covered GB10 models; this is not a benchmark ranking. Regional menus do not prove current availability. The 64GB OEM rollout was announced for October 23, 2026, after this October 18 check.", "alternatives": [ "acer-veriton-gn100", "asus-ascent-gx10", "hp-zgx-nano-ai-station", "dell-pro-max-gb10" ], "includeCurrent": true, "dimensions": [ { "id": "best-for", "label": "Choose it for", "values": { "nvidia-dgx-spark": "Choose the reference unit for NVIDIA hardware documentation and the direct DGX software path.", "acer-veriton-gn100": "Choose Acer when the reviewed cooling behavior and a 4TB configuration matter; the thermal result is sample-specific.", "asus-ascent-gx10": "Choose ASUS for an explicit memory and SSD menu, including a 4TB PCIe 5.0 option.", "hp-zgx-nano-ai-station": "Choose HP when encrypted storage and documented security controls matter; verify the exact SKU and certifications.", "dell-pro-max-gb10": "Choose Dell when regional service options and organizational procurement matter; confirm FCM1253 configuration and support." } }, { "id": "memory", "label": "Fixed memory options", "values": { "nvidia-dgx-spark": "128GB onboard unified memory", "acer-veriton-gn100": "64GB or 128GB listed regionally; confirm local SKU and release timing", "asus-ascent-gx10": "64GB or 128GB unified memory listed; confirm local SKU and release timing", "hp-zgx-nano-ai-station": "128GB onboard unified memory", "dell-pro-max-gb10": "128GB US; 64GB/128GB listed regionally; confirm SKU" } }, { "id": "storage", "label": "Internal storage", "values": { "nvidia-dgx-spark": "1TB or 4TB self-encrypting NVMe", "acer-veriton-gn100": "US 4TB NVMe M.2; generation needs SKU verification", "asus-ascent-gx10": "1TB/2TB PCIe 4.0 or 4TB PCIe 5.0; one slot", "hp-zgx-nano-ai-station": "Official 1TB/4TB self-encrypting options; review also covers regional 2TB", "dell-pro-max-gb10": "1TB/2TB/4TB Gen4; 4TB OPAL SED option" } }, { "id": "desk-footprint", "label": "Desk footprint and power supply", "values": { "nvidia-dgx-spark": "150 × 150 × 50.5mm; 1.2kg; 240W supply", "acer-veriton-gn100": "150 × 150 × 50.5mm; about 1.2kg; 240W supply, Japan specification", "asus-ascent-gx10": "150 × 150 × 51mm; 1.48kg; 240W supply", "hp-zgx-nano-ai-station": "150mm-square chassis; starting about 1.25kg; 240W supply", "dell-pro-max-gb10": "150 × 150 × 51mm maximum; 1.31kg; 280W supply" } }, { "id": "cooling-evidence", "label": "Cooling evidence and limits", "values": { "nvidia-dgx-spark": "Independent comparison exists; no universal noise or throughput guarantee", "acer-veriton-gn100": "Cooler reviewed sample in a five-system comparison; workload-specific", "asus-ascent-gx10": "OEM comparative thermal review; no primary numeric noise specification established", "hp-zgx-nano-ai-station": "Review measured 22dBA idle and 27.6dBA intensive workload; sample-specific", "dell-pro-max-gb10": "Exact-model and comparative reviews; results depend on workload and configuration" } }, { "id": "purchase-caveat", "label": "Before ordering", "values": { "nvidia-dgx-spark": "Fixed memory; Arm/CUDA workflow and model fit need verification", "acer-veriton-gn100": "Regional GN100/VGN100 identity and stock differ; verify order configuration", "asus-ascent-gx10": "Family memory and SSD menu does not identify a particular retail offer", "hp-zgx-nano-ai-station": "Security claims and ports must be matched to exact region and certification", "dell-pro-max-gb10": "FCM1253 naming, wireless and service options vary by region" } } ] } }, "publicUrl": "https://fieldguides.co/g/nvidia-dgx-spark" }