{"title":"Workstations","description":"\u003cp\u003ePro-grade AI workstations for researchers, engineers, and studios, Agent One-ready.\u003c\/p\u003e","products":[{"product_id":"mac-studio-m3-ultra-96gb","title":"Apple Mac Studio M3 Ultra (512 GB, 16 TB)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Frontier\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 512 GB unified\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e Apple M3 Ultra\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e macOS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Mac: same platform as the tested setup (M4 Max)\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003cp\u003eCompact desktop workstation built on the Apple M3 Ultra, with up to a 32-core CPU, an 80-core GPU, a 32-core Neural Engine, 96 GB to 512 GB of unified memory at 819 GB\/s, up to 16 TB of internal SSD, and six Thunderbolt 5 ports.\u003c\/p\u003e\u003cp\u003eDesigned for local inference through Apple's MLX framework and Metal, with macOS, Xcode, and Core ML included, 10 Gigabit Ethernet for serving on a local network, and configurable to 512 GB of unified memory for the largest open-weight models.\u003c\/p\u003e\u003cp\u003eSilent under sustained load at 3.6 kg, powered from a single cord at under 480 W, and runs a 70-billion-parameter model at 8-bit at 96 GB, or a 671-billion-parameter model quantized at 512 GB.\u003c\/p\u003e\u003cp\u003e$5,299 (96 GB, 1 TB) after Apple's June 25 repricing; 13–14 week lead time. The 512 GB configuration is ~$9,500 and capped by the DRAM cycle.\u003c\/p\u003e","brand":"Apple","offers":[{"title":"Default Title","offer_id":52419666673880,"sku":"APL-MACSTUDIO-M3ULTRA","price":5299.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/mac-studio_overview__eedzbosm1t26_og.png?v=1789409976"},{"product_id":"rtx-pro-5000-72gb-tower","title":"RTX PRO 5000 Tower (72 GB, 256 GB RAM)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eA 72 GB GPU for large models at full speed.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Pro\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 72 GB GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e RTX PRO 5000 Blackwell 72 GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e Windows \/ Linux\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Linux \/ Windows x64\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eFull-size desktop workstation built around a single NVIDIA RTX PRO 5000 Blackwell with 72 GB of GDDR7 ECC memory delivering up to 2,900 AI TOPS at FP4, paired with an AMD Threadripper PRO or Intel Xeon W processor, up to 256 GB of DDR5 ECC memory, PCIe Gen5 NVMe storage, and a 1,000 W or larger power supply.\u003c\/p\u003e\u003cp\u003eDesigned for local inference and fine-tuning on models that exceed consumer VRAM at a lower cost than the 96 GB card, with Windows 11 Pro or Ubuntu, NVIDIA AI Enterprise, CUDA, PyTorch, and Triton support, and ISV certifications for engineering and media workflows.\u003c\/p\u003e\u003cp\u003eFloor-standing on a standard outlet at roughly 600 W under sustained load, ECC memory throughout, and the ability to run a 70-billion-parameter model at 8-bit or a 120-billion-parameter model at 4-bit entirely in GPU memory.\u003c\/p\u003e\u003cp\u003eFrom ~$10,000. The card alone lists at $9,310–9,999 (SHI, Scan); built systems from Puget, Lambda, Dell, HP, and Lenovo run $10,000–15,000.\u003c\/p\u003e","brand":"Hussh Build","offers":[{"title":"Default Title","offer_id":52419730079960,"sku":"BLD-RTXPRO5000-TOWER","price":10000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/NVIDIA_RTX_PRO_5000_white.png?v=1790222931"},{"product_id":"rtx-pro-6000-blackwell-96gb-tower","title":"RTX PRO 6000 Blackwell Tower (96 GB, 256 GB RAM)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eA 96 GB GPU tower for very large models.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Pro\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 96 GB GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e RTX PRO 6000 Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e Windows \/ Linux\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Linux \/ Windows x64\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eFull-size desktop workstation built around a single NVIDIA RTX PRO 6000 Blackwell Workstation Edition with 96 GB of GDDR7 ECC memory delivering up to 4,000 AI TOPS at FP4, paired with an AMD Threadripper PRO or Intel Xeon W processor, up to 256 GB of DDR5 ECC memory, PCIe Gen5 NVMe storage, and a 1,600 W power supply.\u003c\/p\u003e\u003cp\u003eDesigned for local inference and fine-tuning on the largest single-GPU memory available in a desktop, with Windows 11 Pro or Ubuntu, NVIDIA AI Enterprise, CUDA, PyTorch, and Triton support, ISV certifications, and a second PCIe x16 slot for a matching card.\u003c\/p\u003e\u003cp\u003eFloor-standing on a dedicated 15 A circuit at roughly 900 W under sustained load, ECC memory throughout, and the ability to run a 70-billion-parameter model at 8-bit or a 180-billion-parameter model at 4-bit entirely in GPU memory.\u003c\/p\u003e\u003cp\u003eFrom ~$20,000. The card alone is $16,000 on NVIDIA's marketplace as of September 2026, up 87% since launch; built systems $20,000–25,000.\u003c\/p\u003e","brand":"Hussh Build","offers":[{"title":"Default Title","offer_id":52419731259608,"sku":"BLD-RTXPRO6000-TOWER","price":20000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/NVIDIA_RTX_PRO_6000_white_1.png?v=1790223037"},{"product_id":"dual-rtx-pro-6000-threadripper-pro","title":"Dual RTX PRO 6000 Blackwell Tower (192 GB, 512 GB RAM)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eFor teams running the largest open models locally.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Frontier\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 2x 96 GB GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e 2x RTX PRO 6000 Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e Windows \/ Linux\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Linux \/ Windows x64\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eFull-size desktop workstation built around two NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPUs with 192 GB of combined GDDR7 ECC memory delivering up to 8,000 AI TOPS at FP4, paired with an AMD Threadripper PRO 9000 WX processor with up to 96 cores, up to 512 GB of DDR5 ECC memory across eight channels, PCIe Gen5 NVMe storage, and a 2,000 W power supply.\u003c\/p\u003e\u003cp\u003eDesigned for local inference and fine-tuning on models that exceed a single GPU, with Windows 11 Pro or Ubuntu, NVIDIA AI Enterprise, CUDA, PyTorch, and Triton support, tensor parallelism across both cards over PCIe Gen5, and ISV certifications.\u003c\/p\u003e\u003cp\u003eFloor-standing on a dedicated 20 A circuit at roughly 1,600 W under sustained load, ECC memory throughout, and the ability to run a 120-billion-parameter model at 8-bit or a 405-billion-parameter model at 4-bit across both GPUs.\u003c\/p\u003e\u003cp\u003eFrom ~$40,000. Two cards alone are $32,000 at current NVIDIA pricing; built systems from Puget, Lambda Vector Pro, and Comino run $40,000–50,000.\u003c\/p\u003e","brand":"Hussh Build","offers":[{"title":"Default Title","offer_id":52419731882200,"sku":"BLD-2XRTXPRO6000-TOWER","price":40000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/NVIDIA_RTX_PRO_6000_white.png?v=1790220967"},{"product_id":"rtx-5090-tower-puget-diy","title":"Puget Systems RTX 5090 Tower (32 GB, 192 GB RAM)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eA hand-built, quiet tower; fast local AI on a 32 GB GPU.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Recommended\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 32 GB GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e RTX 5090\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e Windows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Windows x64\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eFull-size desktop workstation built around a single NVIDIA GeForce RTX 5090 with 32 GB of GDDR7 at 1.79 TB\/s delivering up to 3,352 AI TOPS at FP4, paired with an Intel Core Ultra 9 285K or AMD Ryzen 9 9950X, up to 192 GB of DDR5 memory, PCIe Gen5 NVMe storage, and a 1,000 W or larger power supply.\u003c\/p\u003e\u003cp\u003eDesigned for local inference, fine-tuning, and image or video generation on the fastest single consumer GPU, with Windows 11 or Ubuntu and full CUDA, PyTorch, ComfyUI, and Ollama support, built and burned in by Puget Systems with lifetime labor support.\u003c\/p\u003e\u003cp\u003eFloor-standing on a dedicated 15 A circuit at roughly 800 W under sustained load, no ECC memory or ISV certification, and the ability to run a 32-billion-parameter model at 8-bit or 70 billion at 4-bit entirely in GPU memory.\u003c\/p\u003e\u003cp\u003eFrom $5,207. Puget Systems configurator; typical build $6,000–7,000. Card supply is the constraint.\u003c\/p\u003e","brand":"Puget Systems","offers":[{"title":"Default Title","offer_id":52419966402776,"sku":"PUGET-RTX5090-TOWER","price":5207.44,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/pic_disp.jpg?v=1789758903"},{"product_id":"lenovo-thinkstation-p3-ultra-rtx-5090","title":"Lenovo ThinkStation P3 Tower Gen 2 (RTX PRO 6000 96 GB)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eAn enterprise tower with a 96 GB GPU for large models.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Pro\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 96 GB GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e RTX PRO 6000 Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e Windows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Windows x64\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eCompact 23-liter desktop workstation featuring an Intel Core Ultra 9 285 processor with a 36 TOPS integrated NPU, up to 256 GB of DDR5-6400 memory, seven drive bays including four PCIe Gen5 M.2 slots, and a single NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition GPU with 96 GB of GDDR7 ECC memory delivering up to 3,511 TOPS.\u003c\/p\u003e\u003cp\u003eDesigned for local inference and fine-tuning on models that exceed consumer VRAM, with ISV certifications for engineering and media workflows, Windows 11 Pro or Ubuntu, and NVIDIA AI Enterprise support, and expandable to a second single-slot GPU in the remaining PCIe slot.\u003c\/p\u003e\u003cp\u003eSits under a desk on a standard outlet with a 300 W GPU power budget, tool-less chassis access, Kensington lock and chassis intrusion switch, and the ability to run a 70-billion-parameter model at 8-bit or 120 billion at 4-bit entirely in GPU memory.\u003c\/p\u003e\u003cp\u003ePrice available on request. Lenovo configurator pricing; card supply is constrained.\u003c\/p\u003e","brand":"Lenovo","offers":[{"title":"Request a quote","offer_id":52457681158360,"sku":"LEN-P3T-G2-RTXPRO6000","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/ThinkStation_P3_Tower_Gen_2_CT1_01.png?v=1789409992"},{"product_id":"dgx-station-gb300-any-oem","title":"NVIDIA DGX Station GB300 (748 GB)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA's deskside AI supercomputer for teams.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Frontier\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 748 GB (252 GB HBM3e + 496 GB LPDDR5X)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e NVIDIA GB300 Grace Blackwell Ultra\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e DGX OS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Linux ARM64 (LM Studio officially supports GB10)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eDesktop AI supercomputer featuring the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, equipped with 748 GB of coherent memory across 252 GB of HBM3e on the Blackwell Ultra GPU and 496 GB of LPDDR5X on the 72-core Grace CPU, a ConnectX-8 SuperNIC at 800 Gb\/s, and delivering up to 20 PFLOPS of FP4 AI performance.\u003c\/p\u003e\u003cp\u003eDesigned to train, fine-tune, and serve frontier-scale models on a single desk, with the full NVIDIA AI software stack, DGX OS, CUDA, and NVIDIA AI Enterprise preinstalled, and the ability to link multiple stations over ConnectX-8 for larger workloads or to migrate the same containers unchanged to DGX Cloud.\u003c\/p\u003e\u003cp\u003eTower form factor that sits beside a desk, powered from a standard wall outlet at roughly 1,500 W, built to the same reference design by ASUS, Dell, HP, Lambda, MSI, Supermicro, and others, and able to run models up to 671 billion parameters at FP4 with full context on one unit.\u003c\/p\u003e\u003cp\u003ePrice available on request.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Request a quote","offer_id":52457680994520,"sku":"NV-DGX-STATION-GB300","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/NVIDIA-DGX-Station-MSI-AI-Supercomputer.webp?v=1789759266"},{"product_id":"lenovo-thinkstation-p3-ultra-sff-gen-2-rtx-pro-2000-blackwell","title":"Lenovo ThinkStation P3 Ultra SFF Gen 2 (RTX PRO 2000 16 GB, 128 GB RAM)","description":"\u003cdiv class=\"puppy-one-fit\" data-catalog=\"2026-09-27\"\u003e\n\u003cp\u003e\u003cstrong\u003eA small-form-factor workstation; fine for the app, tight for Puppy One.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePuppy One fit:\u003c\/strong\u003e Runs, with spill into RAM\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory for models:\u003c\/strong\u003e 16 GB GPU (tight)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChip \/ GPU:\u003c\/strong\u003e RTX PRO 2000 Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e Windows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eValidation:\u003c\/strong\u003e Needs testing: Windows x64\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvailability:\u003c\/strong\u003e Available\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNote:\u003c\/strong\u003e A 16 GB GPU can't hold the default model plus context.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp\u003eUltra-compact 3.9-liter desktop workstation featuring an Intel Core Ultra 9 285 processor with a 36 TOPS integrated NPU, up to 128 GB of DDR5-6400 memory, multiple PCIe Gen4 and Gen5 M.2 slots, and a single NVIDIA RTX PRO 2000 Blackwell GPU with 16 GB of GDDR7 ECC memory in a 70 W dual-slot envelope.\u003c\/p\u003e\u003cp\u003eDesigned for small-model inference, agent runtimes, and ISV-certified engineering and media workflows at the edge of a desk, with Windows 11 Pro or Ubuntu, NVIDIA AI Enterprise support, optional Thunderbolt 4, and support for up to 12 independent displays across onboard and discrete outputs.\u003c\/p\u003e\u003cp\u003eSmall enough to mount behind a monitor or under a desk, powered from a standard outlet at well under 300 W, with Kensington lock and chassis intrusion support, and the ability to run a 13-billion-parameter model at 4-bit in GPU memory, or larger models slowly by spilling into 128 GB of system RAM.\u003c\/p\u003e\u003cp\u003e$5,720.97 as configured. Lenovo configurator; ~$2,500–3,500 in lighter configurations.\u003c\/p\u003e","brand":"Lenovo","offers":[{"title":"Default Title","offer_id":52438467969240,"sku":"LEN-P3ULTRA-G2-RTXPRO2000","price":5720.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/ThinkStation_P3_Ultra_SFF_Gen_2_CT1_01.png?v=1789409974"}],"url":"https:\/\/shop.hussh.ai\/collections\/workstations.oembed","provider":"Hussh Shop","version":"1.0","type":"link"}