{"product_id":"lenovo-thinkstation-pgx-sff-30kl0002au-nvidia-grace-blackwell-gb10-128gb-1tb-ssd-nvidia-dgx™-os-1y-prem","title":"Lenovo ThinkStation PGX SFF (30KL0002AU) NVIDIA Grace Blackwell GB10 128GB 1TB SSD NVIDIA DGX™ OS 1Y Prem","description":"\u003ch3\u003eLenovo ThinkStation PGX SFF (30KL0002AU) NVIDIA Grace Blackwell GB10 128GB 1TB SSD NVIDIA DGX™ OS 1Y Prem \u003c\/h3\u003e\n\u003cdiv class=\"product-description-standalone\" style=\"width: 100%; max-width: 100%; margin: 0 auto; background: #ffffff; color: #111111; font-family: Arial,sans-serif;\"\u003e\n\u003cdiv style=\"max-width: 1320px; margin: 0 auto; padding: 48px 24px 28px 24px; text-align: center;\"\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.2; font-weight: 800; letter-spacing: 0.04em; text-transform: uppercase; color: #7a126b; margin: 0 0 10px 0;\"\u003eScalable AI Development\u003c\/div\u003e\n\u003ch2 style=\"margin: 0 0 18px 0; font-size: 52px; line-height: 1.08; font-weight: 800; color: #111111;\"\u003eAI Power, Perfectly Packaged\u003c\/h2\u003e\n\u003cdiv style=\"max-width: 980px; margin: 0 auto 28px auto; font-size: 20px; line-height: 1.6; color: #555555; font-weight: 500;\"\u003eThe ThinkStation PGX small form factor, powered by the NVIDIA GB10 Grace Blackwell Superchip, enables simplified AI workflows right at your desk. It comes preloaded with the NVIDIA AI software stack and seamlessly integrates with your workstation for on-device AI development, eliminating the complexity and cost of cloud-based solutions.\u003c\/div\u003e\n\u003cimg src=\"https:\/\/p3-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/xw3avtcco8jswl88ex0hudrpe9xa3v535351.jpg\" alt=\"Lenovo ThinkStation PGX on desk\" style=\"width: 100%; max-width: 1120px; height: auto; display: block; margin: 0 auto;\"\u003e\n\u003cdiv style=\"margin-top: 14px; font-size: 14px; line-height: 1.5; color: #888888; font-weight: 600;\"\u003eMonitor \u0026amp; wireless keyboard are optional \u0026amp; sold separately.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1440px; margin: 0 auto; padding: 64px 0 24px 0; text-align: center;\"\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.2; font-weight: 800; letter-spacing: 0.04em; text-transform: uppercase; color: #7a126b; margin: 0 0 10px 0;\"\u003eNext-Gen Blackwell GPU\u003c\/div\u003e\n\u003ch2 style=\"margin: 0 0 16px 0; font-size: 50px; line-height: 1.08; font-weight: 800; color: #111111;\"\u003eSeamless Integration Into AI Pipelines\u003c\/h2\u003e\n\u003cdiv style=\"max-width: 980px; margin: 0 auto 30px auto; padding: 0 24px; font-size: 20px; line-height: 1.6; color: #666666; font-weight: 500;\"\u003eAn advanced NVIDIA Blackwell GPU supports complex AI workflows, including fine-tuning, inference, and data processing, with features designed to streamline deep learning, computer vision, and generative AI development.\u003c\/div\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr 1.55fr 1fr; gap: 16px; align-items: center;\"\u003e\n\u003cdiv style=\"background: #8b868d; overflow: hidden; border-radius: 8px; height: 470px; display: flex; align-items: center; justify-content: flex-end;\"\u003e\u003cimg src=\"https:\/\/p4-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/lji10abqf6oezuojzxhdk5y4l0y703761180.jpg\" alt=\"Unified system memory\" style=\"width: 100%; height: 100%; object-fit: cover; opacity: 0.92;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"background: #ffffff; border-radius: 8px; overflow: hidden; padding: 0;\"\u003e\u003cimg src=\"https:\/\/p4-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/37tmndckqdegkydhlojv48hg7mtcql083909.jpg\" alt=\"Next-gen Blackwell GPU\" style=\"width: 100%; height: auto; display: block;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"background: #8b868d; overflow: hidden; border-radius: 8px; height: 470px; display: flex; align-items: center; justify-content: flex-start;\"\u003e\u003cimg src=\"https:\/\/p4-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/yx6zct1e6d0ar9epyuxaqmidi3yo0k847724.jpg\" alt=\"NVIDIA ConnectX technology\" style=\"width: 100%; height: 100%; object-fit: cover; opacity: 0.92;\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"margin-top: 12px; font-size: 14px; line-height: 1.5; color: #888888; font-weight: 600;\"\u003eLaptop is optional \u0026amp; sold separately.\u003c\/div\u003e\n\u003cdiv style=\"display: flex; justify-content: center; gap: 12px; margin: 18px 0 0 0;\"\u003e\n\u003cspan style=\"width: 12px; height: 12px; border-radius: 50%; background: #111111; display: inline-block;\"\u003e\u003c\/span\u003e \u003cspan style=\"width: 12px; height: 12px; border-radius: 50%; background: #d9d9d9; display: inline-block;\"\u003e\u003c\/span\u003e \u003cspan style=\"width: 12px; height: 12px; border-radius: 50%; background: #d9d9d9; display: inline-block;\"\u003e\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1320px; margin: 0 auto; padding: 64px 24px 44px 24px;\"\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr 1fr; gap: 44px; align-items: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.2; font-weight: 800; letter-spacing: 0.04em; text-transform: uppercase; color: #7a126b; margin: 0 0 10px 0;\"\u003eAI Excellence\u003c\/div\u003e\n\u003ch2 style=\"margin: 0 0 18px 0; font-size: 50px; line-height: 1.08; font-weight: 800; color: #111111;\"\u003eBig Models, Small Chip, Limitless Potential\u003c\/h2\u003e\n\u003cdiv style=\"font-size: 20px; line-height: 1.65; color: #555555; font-weight: 500;\"\u003eThe NVIDIA GB10 Grace Blackwell Superchip combines cutting-edge graphics with a powerful multicore ARM CPU to deliver an energy efficient system-on-a-chip (SOC) solution. It’s built to handle complex AI tasks and massive datasets with incredible speed and efficiency, making it perfect for tackling demanding workloads locally.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cimg src=\"https:\/\/p4-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/ztrhhxmngoj2sqbfh8nx3llnbhj5cu578451.jpg\" alt=\"AI excellence ThinkStation PGX\" style=\"width: 100%; height: auto; display: block;\"\u003e\n\u003cdiv style=\"margin-top: 14px; font-size: 14px; line-height: 1.5; color: #888888; font-weight: 600; text-align: center;\"\u003eMonitor, wireless keyboard \u0026amp; mouse are optional \u0026amp; sold separately.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1320px; margin: 0 auto; padding: 36px 24px 44px 24px;\"\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr 1fr; gap: 44px; align-items: center;\"\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/p4-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/jvyb20q3n0r4tfs2b11gum9bcs9a5c531944.jpg\" alt=\"Full-stack NVIDIA AI platform\" style=\"width: 100%; height: auto; display: block;\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.2; font-weight: 800; letter-spacing: 0.04em; text-transform: uppercase; color: #7a126b; margin: 0 0 10px 0;\"\u003eFull-Stack NVIDIA AI Platform\u003c\/div\u003e\n\u003ch2 style=\"margin: 0 0 18px 0; font-size: 50px; line-height: 1.08; font-weight: 800; color: #111111;\"\u003eReady-to Go AI Development Environment\u003c\/h2\u003e\n\u003cdiv style=\"font-size: 20px; line-height: 1.65; color: #555555; font-weight: 500;\"\u003eA compact entry point to advanced AI, the ThinkStation PGX is preloaded with the NVIDIA DGX™ OS and NVIDIA AI software stack, providing an optimised space for AI model development. With tools like PyTorch and Jupyter® Notebooks, engineers can easily prototype, fine-tune, and inference models for smooth deployment to data centres or cloud platforms.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1320px; margin: 0 auto; padding: 36px 24px 34px 24px;\"\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr 1fr; gap: 44px; align-items: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.2; font-weight: 800; letter-spacing: 0.04em; text-transform: uppercase; color: #7a126b; margin: 0 0 10px 0;\"\u003eSandboxed Development Environment\u003c\/div\u003e\n\u003ch2 style=\"margin: 0 0 18px 0; font-size: 50px; line-height: 1.08; font-weight: 800; color: #111111;\"\u003eYour AI Playground: Experiment. Build. Succeed.\u003c\/h2\u003e\n\u003cdiv style=\"font-size: 20px; line-height: 1.65; color: #555555; font-weight: 500;\"\u003eThe ThinkStation PGX small form factor workstation offers developers a secure sandbox for prototyping AI models, freeing up cluster resources for production workloads. This streamlines workflows, keeps IP on-premises, and reduces security risks — ideal for experimentation without compromising enterprise standards.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/p1-ofp.static.pub\/\/fes\/cms\/2025\/09\/17\/cvqe2rk1ypt479y4599rc3hnxu95ll609397.jpg\" alt=\"Sandboxed development environment\" style=\"width: 100%; height: auto; display: block;\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1320px; margin: 0 auto; padding: 10px 24px 70px 24px;\"\u003e\n\u003cdiv style=\"font-size: 16px; line-height: 1.6; color: #8c8c8c; font-weight: 500;\"\u003eSpecifications may vary depending upon region \/ model.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1320px; margin: 0 auto; padding: 0 24px 28px 24px; text-align: center;\"\u003e\n\u003ch2 style=\"margin: 0 0 28px 0; font-size: 48px; line-height: 1.1; font-weight: 800; color: #111111;\"\u003ePorts \u0026amp; Slots\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/p1-ofp.static.pub\/\/fes\/cms\/2025\/10\/23\/zuq9meh5tup5okt9zwin2ngvvic68x659179.png\" alt=\"Ports and slots ThinkStation PGX\" style=\"width: 100%; max-width: 1120px; height: auto; display: block; margin: 0 auto 26px auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"max-width: 1120px; margin: 0 auto; padding: 0 24px 60px 24px;\"\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr 1fr; gap: 44px; align-items: start;\"\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"display: flex; align-items: flex-start; gap: 14px; margin: 0 0 18px 0;\"\u003e\n\u003cspan style=\"width: 28px; height: 28px; border: 1.5px solid #cfcfcf; border-radius: 50%; display: inline-flex; align-items: center; justify-content: center; font-size: 15px; line-height: 1; font-weight: bold; color: #555555; flex: 0 0 28px;\"\u003e1\u003c\/span\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.5; color: #111111; font-weight: 500;\"\u003ePower button\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display: flex; align-items: flex-start; gap: 14px; margin: 0 0 18px 0;\"\u003e\n\u003cspan style=\"width: 28px; height: 28px; border: 1.5px solid #cfcfcf; border-radius: 50%; display: inline-flex; align-items: center; justify-content: center; font-size: 15px; line-height: 1; font-weight: bold; color: #555555; flex: 0 0 28px;\"\u003e2\u003c\/span\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.5; color: #111111; font-weight: 500;\"\u003eUSB-C® (USB4® 20Gbps), PD 3.1 in, DP 2.1\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display: flex; align-items: flex-start; gap: 14px; margin: 0;\"\u003e\n\u003cspan style=\"width: 28px; height: 28px; border: 1.5px solid #cfcfcf; border-radius: 50%; display: inline-flex; align-items: center; justify-content: center; font-size: 15px; line-height: 1; font-weight: bold; color: #555555; flex: 0 0 28px;\"\u003e3\u003c\/span\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.5; color: #111111; font-weight: 500;\"\u003e3 x USB-C® (USB4® 20Gbps), DP 2.1\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"display: flex; align-items: flex-start; gap: 14px; margin: 0 0 18px 0;\"\u003e\n\u003cspan style=\"width: 28px; height: 28px; border: 1.5px solid #cfcfcf; border-radius: 50%; display: inline-flex; align-items: center; justify-content: center; font-size: 15px; line-height: 1; font-weight: bold; color: #555555; flex: 0 0 28px;\"\u003e4\u003c\/span\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.5; color: #111111; font-weight: 500;\"\u003eHDMI® 2.1b FRL\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display: flex; align-items: flex-start; gap: 14px; margin: 0 0 18px 0;\"\u003e\n\u003cspan style=\"width: 28px; height: 28px; border: 1.5px solid #cfcfcf; border-radius: 50%; display: inline-flex; align-items: center; justify-content: center; font-size: 15px; line-height: 1; font-weight: bold; color: #555555; flex: 0 0 28px;\"\u003e5\u003c\/span\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.5; color: #111111; font-weight: 500;\"\u003eEthernet (10GbE RJ-45)\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display: flex; align-items: flex-start; gap: 14px; margin: 0;\"\u003e\n\u003cspan style=\"width: 28px; height: 28px; border: 1.5px solid #cfcfcf; border-radius: 50%; display: inline-flex; align-items: center; justify-content: center; font-size: 15px; line-height: 1; font-weight: bold; color: #555555; flex: 0 0 28px;\"\u003e6\u003c\/span\u003e\n\u003cdiv style=\"font-size: 18px; line-height: 1.5; color: #111111; font-weight: 500;\"\u003e2 x QSFP\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"MsoNormal\"\u003e\u003cb\u003eSpecifications\u003c\/b\u003e\u003c\/h2\u003e\n\u003ctable style=\"width: 100.003%;\" class=\"product-detail-content-tabs-table table primary-body-text-style ng-star-inserted\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eMTM Name\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eThinkStation PGX GB10 1T LINUX 1YPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eDescription\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eThinkStation PGX, NVIDIA Grace Blackwell GB10 (, ), NVIDIA DGX™ OS World Wide Multiple Language, 128.0GB, 1x1TB SSD M.2 2242 PCIe Gen4 TLC Opal, NVIDIA Blackwell GPU, Wi-Fi 7 2x2 BE,BT 5.3, NVIDIA ConnectX-7 Smart NIC, 240W, 1YR Premier NBD,1 Year On-site\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eSeries\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eThinkStation P Series\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eModel Name\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eThinkStation PGX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eColor\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eGrey\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eProcessor Type\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eNVIDIA Grace Blackwell GB10 Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003ePower Supply + Units\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003e240W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003ePort Type\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eEthernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003ePort Type#1\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003e4 x USB TypeC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003ePort 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LPDDR5X-8533\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eDescription#4\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eIntegrated NVIDIA Blackwell GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eDescription#5\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eBluetooth® 5.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" class=\"width-x30 ng-star-inserted\"\u003eDescription#6\u003c\/td\u003e\n\u003ctd style=\"width: 73.2701%;\" class=\"spec-info ng-star-inserted\"\u003eWi-Fi 7 2x2 BE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"ng-star-inserted\"\u003e\n\u003ctd style=\"width: 26.4506%;\" 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