{"product_id":"digital-twin-pro-spark","title":"Digital Twin Pro Spark","description":"\u003cp\u003e\u003cem\u003ePrivate AI workstation\u003c\/em\u003e\u003c\/p\u003e\n\u003ch2\u003eLarge-model AI on a system you own\u003c\/h2\u003e\n\u003cp\u003eDigital Twin Pro Spark transforms NVIDIA DGX Spark into a configured private-AI workstation for serious local models, autonomous agents, development, and document intelligence. $6,999 one-time — Shop Pay Installments available to eligible buyers. Configured and supported in Miami, Florida.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e128GB unified memory · 4TB encrypted NVMe · up to 1 PFLOP sparse FP4 (theoretical) · 10GbE + ConnectX-7 · No required Digital Twin Pro subscription\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003ch2\u003eYour data is too important — and your workload is too large — for another generic cloud chat window\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensitive knowledge shouldn't automatically leave the office.\u003c\/strong\u003e Contracts, research, client records — local by default.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePer-user subscriptions multiply.\u003c\/strong\u003e Team AI spend compounds monthly, forever.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmall local hardware hits its memory ceiling fast.\u003c\/strong\u003e 8GB-class devices are superb assistants; they are not large-model workstations.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhy buy it configured?\u003c\/h2\u003e\n\u003cp\u003eNVIDIA sells an exceptional AI computer. Digital Twin Pro delivers the system around it: selected and tested local models, the agent framework, a document workspace, owner onboarding, integration setup, optional Life Upload, a tested recovery process, and human engineering support. The premium over bare hardware is the deployment — done, documented, and supported.\u003c\/p\u003e\n\n\u003ch2\u003eCapacity — three honest labels\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eOfficial hardware capacity:\u003c\/strong\u003e NVIDIA states DGX Spark provides up to 1 PFLOP of theoretical sparse FP4 performance, 128GB LPDDR5x unified memory at 273GB\/s, 4TB self-encrypting NVMe, 10GbE, and ConnectX-7 at 200Gbps, and that a single system can work with models up to 200B parameters (two connected systems: up to 405B). These are capacity statements, not latency or quality guarantees.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDigital Twin Pro tested configurations:\u003c\/strong\u003e every unit ships with tested local-model profiles, documented with software versions on our What We Test process.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults vary\u003c\/strong\u003e by model, quantization, runtime, context length, and configuration.\u003c\/p\u003e\n\n\u003ch2\u003eWhat it does\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePrivate document Q\u0026amp;A and knowledge-base construction\u003c\/li\u003e\n\u003cli\u003eLarge local model experimentation\u003c\/li\u003e\n\u003cli\u003eCoding and repository analysis; research agents\u003c\/li\u003e\n\u003cli\u003eProposal and report drafting\u003c\/li\u003e\n\u003cli\u003eLocal speech and multimodal workflows\u003c\/li\u003e\n\u003cli\u003eOptional cloud escalation with your own provider keys\u003c\/li\u003e\n\u003cli\u003eModel development and fine-tuning workflows\u003c\/li\u003e\n\u003cli\u003eInternal inference endpoint for your tools\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhat it does not promise\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eUnlimited concurrent users\u003c\/li\u003e\n\u003cli\u003eIdentical performance for every 200B-class model\u003c\/li\u003e\n\u003cli\u003eFully offline operation for internet-dependent tasks\u003c\/li\u003e\n\u003cli\u003eAutomatic regulatory compliance\u003c\/li\u003e\n\u003cli\u003ePerfect agent decisions\u003c\/li\u003e\n\u003cli\u003eZero maintenance forever\u003c\/li\u003e\n\u003cli\u003eFrontier cloud-model equivalence for every task\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhat's included — $6,999\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA DGX Spark (GB10 Grace Blackwell Superchip) with 4TB factory storage\u003c\/li\u003e\n\u003cli\u003eCurrent tested DGX OS + the Digital Twin Pro system configuration, versioned\u003c\/li\u003e\n\u003cli\u003eHermes installed; NemoClaw\/OpenShell configuration where validated\u003c\/li\u003e\n\u003cli\u003eFour tested local-model profiles + local document workspace + browser dashboard\u003c\/li\u003e\n\u003cli\u003eEncrypted recovery image\u003c\/li\u003e\n\u003cli\u003e90-minute remote onboarding + one account or integration setup\u003c\/li\u003e\n\u003cli\u003e30 days of defined deployment support\u003c\/li\u003e\n\u003cli\u003eOne-year limited Digital Twin Pro service warranty, subject to the underlying hardware warranty terms\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhere processing occurs\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eMode\u003c\/th\u003e\n\u003cth\u003eWhere processing occurs\u003c\/th\u003e\n\u003cth\u003eWhat leaves\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLocal model\u003c\/td\u003e\n\u003ctd\u003eYour Spark\u003c\/td\u003e\n\u003ctd\u003eNothing required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLocal documents \u0026amp; RAG\u003c\/td\u003e\n\u003ctd\u003eYour Spark\u003c\/td\u003e\n\u003ctd\u003eNothing required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClaude \/ GPT \/ Gemini (your key)\u003c\/td\u003e\n\u003ctd\u003eProvider infrastructure\u003c\/td\u003e\n\u003ctd\u003eThe selected prompt and attached context, under that provider's terms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMessaging connections\u003c\/td\u003e\n\u003ctd\u003eMessaging provider\u003c\/td\u003e\n\u003ctd\u003eMessages routed through that provider\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLife Upload\u003c\/td\u003e\n\u003ctd\u003eDefined project environment\u003c\/td\u003e\n\u003ctd\u003eExactly what the signed scope authorizes — then deleted, in writing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWarranty, returns, and shipping\u003c\/h2\u003e\n\u003cp\u003eOne-year limited Digital Twin Pro service warranty (subject to underlying hardware warranty terms). Request an evaluation return within 15 days of delivery; normal evaluation use is permitted — return shipping, condition requirements, data-erasure procedures, and any disclosed restocking fee follow the \u003ca href=\"\/policies\/refund-policy\"\u003eRefund Policy\u003c\/a\u003e. Ships insured with signature required from Miami, FL; lead time is stated at checkout.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eIs a subscription required?\u003c\/strong\u003e No. There is no required Digital Twin Pro subscription — optional one-time services only.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEdge or Spark?\u003c\/strong\u003e Edge ($1,999) is a personal always-on assistant with small local models. Spark is for large local models, development, heavier document work, and team-ready deployment. See the comparison page.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan my team use it?\u003c\/strong\u003e Yes, within configured concurrency limits we document for your deployment — no per-seat Digital Twin Pro fee.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this an NVIDIA product?\u003c\/strong\u003e Digital Twin Pro Spark is built on NVIDIA DGX Spark and is an independent product; not affiliated with, endorsed by, or sponsored by NVIDIA. NVIDIA and DGX are trademarks of NVIDIA Corporation.\u003c\/p\u003e\n\n\u003cp\u003e\u003ca href=\"\/pages\/life-upload\"\u003eAdd a Life Upload — arrive already fluent in your world →\u003c\/a\u003e\u003cbr\u003e\n\u003ca href=\"\/pages\/dgx-spark-duo\"\u003eNeed more? Spark Duo scales private intelligence across a team →\u003c\/a\u003e\u003c\/p\u003e\n","brand":"Digital Twin Pro","offers":[{"title":"Default Title","offer_id":54534759776535,"sku":null,"price":6999.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1010\/0221\/5703\/files\/6d6b4bb77c2305cefa5cf7fa0ffafa4e.png?v=1784840628","url":"https:\/\/digitaltwinpro.com\/products\/digital-twin-pro-spark","provider":"Digital Twin Pro","version":"1.0","type":"link"}