{"product_id":"lenovo-thinkstation-pgx-gb10-1t-linux-workstation-30kl0002us","title":"Lenovo ThinkStation PGX GB10 1T LINUX Workstation (30KL0002US)","description":"\u003cp\u003eThe Lenovo ThinkStation PGX is Lenovo’s first workstation built around the NVIDIA GB10 Grace Blackwell Superchip. It gives ML engineers, researchers and applied-AI teams data-center-class model development power on their own desk, backed by Lenovo’s workstation-grade build and enterprise support. If you rent cloud GPU instances just to fine-tune or evaluate open-weight models, it moves that work into a 1.13-litre box beside your keyboard.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eML engineers running LoRA\/QLoRA fine-tunes and evaluation harness runs on hardware they own\u003c\/li\u003e\n\u003cli\u003eApplied-AI teams prototyping RAG pipelines, agentic workflows, and computer-vision or multimodal models\u003c\/li\u003e\n\u003cli\u003eOrganizations handling data that cannot leave the premises\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e a 20-core Arm CPU (10x Cortex-X925 performance cores + 10x Cortex-A725 efficiency cores) coupled to a Blackwell-architecture GPU with 5th Gen Tensor Cores and 4th Gen RT Cores over NVLink-C2C, rated for 1000 TOPS \/ 1 petaFLOP of FP4 AI performance with sparsity.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x-8533 memory at 273GB\/s:\u003c\/strong\u003e CPU and GPU share one coherent pool with no PCIe copy penalty, holding models up to roughly 200 billion parameters on a single unit without offloading to disk or splitting across GPUs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 200Gb\/s QSFP ports (NVIDIA ConnectX-7):\u003c\/strong\u003e link two PGX units to scale past a single unit’s memory ceiling.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSelf-encrypting NVMe storage:\u003c\/strong\u003e 1TB, 2TB or 4TB PCIe Gen4 TLC Opal SSD options, so you can size local storage to your dataset and checkpoint volume.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS with the full AI stack pre-installed:\u003c\/strong\u003e CUDA 13, the complete NVIDIA AI software stack, the GB10 Dashboard and NVIDIA AI Workbench, using the same container stack as DGX systems, so a workload moves to a cluster or DGX Cloud unchanged.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise-grade connectivity:\u003c\/strong\u003e 10 Gigabit Ethernet, Wi-Fi 7, Bluetooth 5.3, three USB4 ports carrying DisplayPort 2.1, and HDMI 2.1a.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1.13-litre chassis, from 1.2kg:\u003c\/strong\u003e 150 x 150 x 50.5mm, on a single 240W USB-C adapter.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorkstation-grade security:\u003c\/strong\u003e AES SED NVMe, TPM 2.0, UEFI Secure Boot, an NVLink-C2C hardware enclave and NVIDIA Firmware Recovery.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number (MTM)\u003c\/td\u003e\n\u003ctd\u003e30KL0002US\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eThinkStation PGX GB10 1T LINUX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuperchip\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GB10 Grace Blackwell Superchip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell architecture GPU with CUDA Cores, 5th Gen Tensor Cores, 4th Gen RT Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e1000 TOPS \/ 1 petaFLOP (FP4, with sparsity)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x-8533MT\/s unified system memory, 273GB\/s bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB \/ 2TB \/ 4TB SSD M.2 2242 PCIe Gen4 TLC Opal (self-encrypting)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS (Ubuntu Linux Pro base)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePre-installed Software\u003c\/td\u003e\n\u003ctd\u003eNVIDIA AI Software Stack, CUDA 13, GB10 Dashboard, NVIDIA AI Workbench\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Model Size\u003c\/td\u003e\n\u003ctd\u003eUp to 200B parameters (single unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRear I\/O\u003c\/td\u003e\n\u003ctd\u003e1x USB-C power in (PD 3.1); 3x USB-C USB4 (20Gb\/s) with DisplayPort 2.1; 1x HDMI 2.1a with multichannel audio; 1x RJ-45 10GbE; 2x QSFP (NVIDIA ConnectX-7, 200Gb\/s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7 (802.11be) + Bluetooth 5.3 LE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003e240W USB-C power adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eSmall form factor desktop, 1.13 litre, 150 x 150 x 50.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eFrom 1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eSelf-encrypting NVMe (AES SED), TPM 2.0, NVLink-C2C enclave, NVIDIA Firmware Recovery, AMI setup password, UEFI Secure Boot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1-year limited onsite service\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability\u003c\/td\u003e\n\u003ctd\u003ePackaging with 90% recycled and\/or FSC-certified content; RoHS compliant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThe 1 petaFLOP figure is a peak FP4-with-sparsity number. Real dense-precision throughput on a given model will be lower.\u003c\/li\u003e\n\u003cli\u003eThis is a fine-tuning, inference and prototyping machine, not a foundation-model training rig. Pre-training multi-billion-parameter models from random initialization belongs on a cluster.\u003c\/li\u003e\n\u003cli\u003eA 70B-parameter model in FP4\/INT4 quantization, or a 30B model at higher precision with generous context length, loads and runs without memory juggling.\u003c\/li\u003e\n\u003cli\u003ePick 1TB, 2TB or 4TB by how many checkpoints, quantized variants and datasets you keep local.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the ThinkStation PGX if you want Lenovo’s 1-year limited onsite service and a choice of 1TB, 2TB or 4TB storage.\u003c\/p\u003e","brand":"Lenovo","offers":[{"title":"1TB SSD","offer_id":58232537284990,"sku":"30KL0002US","price":5849.0,"currency_code":"USD","in_stock":true},{"title":"2TB SSD","offer_id":58232537317758,"sku":"30KL000EUS","price":6749.0,"currency_code":"USD","in_stock":true},{"title":"4TB SSD","offer_id":58232537350526,"sku":"30KL000BUS","price":7879.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/27515107407_ThinkStationPGX_Front_202507310437231759166660807_179aba0a-4a17-48a0-8817-845619962d3d.png?v=1792094025","url":"https:\/\/computahardware.net\/products\/lenovo-thinkstation-pgx-gb10-1t-linux-workstation-30kl0002us","provider":"ComputaHardware","version":"1.0","type":"link"}