{"product_id":"studio-creator-workstation-intel-core-ultra-9-285k-rtx-5080-custom-built-computer","title":"Studio Creator Workstation | Intel Core Ultra 9 285K | RTX 5080 | Custom Built Computer","description":"\u003cstyle\u003e\n*{box-sizing:border-box}\n.gt-ans{background:#f0fdf4;border-left:4px solid #10b981;border-radius:0 12px 12px 0;padding:18px 22px;margin:0 0 20px}\n.gt-ans p{margin:0 0 6px;color:#065f46;font-size:15px;line-height:1.6}\n.gt-ans p:last-child{margin:0}\n.gt-notice{background:#fffbeb;border-left:4px solid #f59e0b;border-radius:0 12px 12px 0;padding:14px 20px;margin:0 0 28px;font-size:14px;color:#78350f;line-height:1.6}\n.gt-notice strong{color:#92400e}\n.gt-tag{display:inline-block;background:rgba(16,185,129,.12);color:#059669;border:1px solid rgba(16,185,129,.25);border-radius:20px;padding:4px 14px;font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;margin-bottom:10px}\n.gt-specs{width:100%;border-collapse:collapse;margin:0 0 24px;font-size:14px}\n.gt-specs th{background:#0f172a;color:#fff;padding:10px 14px;text-align:left;font-size:12px;text-transform:uppercase;letter-spacing:.06em}\n.gt-specs td{padding:10px 14px;border-bottom:1px solid #e2e8f0;color:#1e293b;vertical-align:top}\n.gt-specs tr:nth-child(even) td{background:#f8fafc}\n.gt-specs td:first-child{font-weight:600;color:#475569;width:38%;white-space:nowrap}\n.gt-cta-bar{background:linear-gradient(135deg,#0f172a,#1e3a5f);border-radius:14px;padding:28px 32px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;margin:32px 0}\n.gt-cta-bar h3{color:#fff;font-size:18px;font-weight:800;margin:0 0 4px}\n.gt-cta-bar p{color:rgba(255,255,255,.68);font-size:13px;margin:0}\n.gt-btn{display:inline-block;padding:12px 28px;border-radius:8px;font-weight:700;font-size:14px;text-decoration:none;transition:.2s}\n.gt-btn-green{background:#10b981;color:#fff}\n.gt-btn-green:hover{background:#059669;color:#fff}\n.gt-btn-white{background:#fff;color:#0f172a;border:1px solid #e2e8f0}\n.gt-guides{background:#f8fafc;border-radius:12px;padding:20px 24px;margin:24px 0}\n.gt-guides h4{font-size:13px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;color:#94a3b8;margin:0 0 12px}\n.gt-guides ul{list-style:none;margin:0;padding:0;display:flex;flex-wrap:wrap;gap:10px}\n.gt-guides ul li a{display:inline-block;background:#fff;border:1px solid #e2e8f0;border-radius:6px;padding:7px 14px;font-size:13px;font-weight:600;color:#0f172a;text-decoration:none}\n.gt-guides ul li a:hover{border-color:#10b981;color:#10b981}\n.gt-trust{background:#fff;border:1px solid #e2e8f0;border-radius:14px;padding:24px;margin:28px 0}\n.gt-trust-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(150px,1fr));gap:16px;margin-top:16px}\n.gt-trust-item{text-align:center}\n.gt-trust-item .icon{font-size:24px;margin-bottom:6px}\n.gt-trust-item .label{font-size:12px;font-weight:700;color:#0f172a}\n.gt-trust-item .sub{font-size:11px;color:#64748b}\n.gt-compare{width:100%;border-collapse:collapse;margin:0 0 24px;font-size:14px}\n.gt-compare th{background:#f8fafc;padding:10px 14px;text-align:left;font-weight:700;font-size:12px;text-transform:uppercase;letter-spacing:.06em;color:#475569;border-bottom:2px solid #e2e8f0}\n.gt-compare td{padding:10px 14px;border-bottom:1px solid #f1f5f9;color:#1e293b;vertical-align:top}\n.gt-compare td:first-child{font-weight:600}\n.gt-compare .check{color:#10b981;font-weight:700}\n.gt-compare .warn{color:#f59e0b;font-weight:700}\n.faq-item{border-bottom:1px solid #e2e8f0;padding:16px 0}\n.faq-item:last-child{border-bottom:none}\n.faq-q{font-weight:700;color:#0f172a;margin:0 0 8px;font-size:15px}\n.faq-a{color:#475569;font-size:14px;line-height:1.65;margin:0}\n@media(max-width:600px){.gt-cta-bar{padding:20px}}\n\u003c\/style\u003e\n\n\u003c!-- Hidden spec markers consumed by product-item.liquid pill extractor --\u003e\n\u003cdiv style=\"display:none;\" aria-hidden=\"true\"\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e96GB DDR5 (2x48GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB Gen4 NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"gt-ans\"\u003e\n\u003cspan class=\"gt-tag\"\u003eStudio Creator Workstation\u003c\/span\u003e\n\u003cp\u003e\u003cstrong\u003eBest for:\u003c\/strong\u003e Multi-app studio pipelines (Resolve + Substance + Octane open at once), 4K and 8K multi-track editing, heavy Lightroom catalogs, large local LLM inference via system-RAM offloading, and creator workflows where running out of system memory is the everyday bottleneck.\u003c\/p\u003e\n\u003cp\u003eBuilt around Intel's flagship Arrow Lake desktop CPU — the Core Ultra 9 285K with 24 cores (8P + 16E) on Intel 20A — paired with an NVIDIA RTX 5080 (16 GB GDDR7) and \u003cstrong\u003e96 GB of DDR5 RGB memory\u003c\/strong\u003e. The big memory pool removes paging on multi-track timelines, allows large language models to run via partial CPU offloading, and lets you keep several heavy GPU-accelerated apps open without swapping. Hand-built in Vaughan, Ontario. Same-day pickup or free Canada-wide shipping.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"gt-notice\"\u003e\n\u003cstrong\u003eMemory advantage:\u003c\/strong\u003e This build ships with \u003cstrong\u003e96 GB DDR5 (2 × 48 GB)\u003c\/strong\u003e — three times the system RAM of an entry-tier 32 GB creator build. If your bottleneck is multi-app workflow or 8K editing rather than single-GPU VRAM, this configuration is significantly better value than stepping up to RTX 5090 with only 32 GB or 48 GB of system memory. For workloads that genuinely max out GPU VRAM (full-resolution Flux LoRA training, single-model 32 GB scene rendering), see our \u003ca href=\"\/products\/creator-ai-workstation-intel-i9-14900k-rtx-5090-custom-built-computer\" style=\"color:#92400e;font-weight:600;text-decoration:underline\"\u003eRTX 5090 Creator \u0026amp; AI Workstation\u003c\/a\u003e.\u003c\/div\u003e\n\n\u003ch2\u003eWhat's Inside\u003c\/h2\u003e\n\u003ctable class=\"gt-specs\"\u003e\n  \u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eIntel Core Ultra 9 285K — 24 Cores (8P + 16E), Intel 20A Process, 5.7 GHz Boost\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eCPU Cooler\u003c\/td\u003e\n\u003ctd\u003eTRYX PANORAMA SE 360 mm ARGB AIO Liquid Cooler\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GeForce RTX 5080 — 16 GB GDDR7, DLSS 4, NVENC, CUDA \/ OptiX\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003eCorsair 96 GB DDR5 RGB (2 × 48 GB) — Vengeance RGB Light Enhancement kit\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1 TB M.2 NVMe SSD Gen 4\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eOS\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro — pre-installed and activated\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1 Year Parts + Labour (GamerTech)\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003eFree Canada-wide. Same-day pickup: Vaughan, ON\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eThe System-Memory Workstation\u003c\/h2\u003e\n\u003cp\u003eMost creator builds get sized around GPU VRAM. This one is sized around system memory — because for many real studio pipelines, that's where the wall actually is. Running DaVinci Resolve, Substance 3D Painter, Octane viewport, and Photoshop simultaneously eats 50–80 GB before you've even loaded a project. An 8K multi-camera DaVinci timeline with smart-cache enabled wants 60+ GB on its own. Local LLM tools (LM Studio, Ollama, llama.cpp) let you offload model layers from GPU to system RAM, letting a 16 GB-VRAM card run models that would otherwise need a $5,000+ GPU. The RTX 5080's 16 GB of GDDR7 still handles SDXL, Flux, 4K editing, Blender Cycles, and Unreal Engine 5 at high quality — but the 96 GB of DDR5 is what makes this build feel like a \"real\" studio workstation rather than a single-app machine.\u003c\/p\u003e\n\n\u003ch2\u003eWho Buys This\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eThis workstation is for:\u003c\/strong\u003e Studio editors with multi-app pipelines (Resolve + Substance + Houdini open at once). Videographers cutting 8K multi-cam and complex Fusion compositions. Photographers running 100,000+ image Lightroom Classic catalogs. AI hobbyists running larger language models via partial CPU offload. Indie 3D artists juggling scene preview, painting, and shading apps simultaneously. Anyone who closes apps because they \"ran out of RAM\".\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNot the right fit if:\u003c\/strong\u003e Your bottleneck is single-GPU VRAM — Flux full-resolution training, 32 GB-scene Octane rendering, 70B+ language models that need RTX PRO VRAM. For those workloads, step up to our \u003ca href=\"\/products\/creator-ai-workstation-intel-i9-14900k-rtx-5090-custom-built-computer\"\u003eRTX 5090 Creator \u0026amp; AI Workstation\u003c\/a\u003e. You need ECC memory or RTX PRO driver certification — see our Threadripper PRO workstation builds.\u003c\/p\u003e\n\n\u003ch2\u003eWorkload Performance\u003c\/h2\u003e\n\u003ctable class=\"gt-compare\"\u003e\n  \u003ctr\u003e\n\u003cth\u003eWorkload\u003c\/th\u003e\n\u003cth\u003ePerformance\u003c\/th\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eMulti-App Pipelines (Resolve + Substance + Octane)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 96 GB system RAM is the unlock\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003e4K Multi-Track Editing (DaVinci, Premiere)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — smart cache stays in RAM\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003e8K Multi-Camera Editing\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 96 GB clears the system bottleneck\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eLarge Lightroom Classic Catalogs\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 24 cores + 96 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eLocal LLM Inference (with CPU offload)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — fits much larger models than VRAM alone\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eAI Image Generation (SDXL, Flux)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — 16 GB VRAM handles full-res\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003e3D Rendering (Blender, Octane, Redshift)\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent on scenes under 16 GB VRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eStreaming 4K60 + Recording\u003c\/td\u003e\n\u003ctd class=\"check\"\u003eExcellent — NVENC + plenty of headroom\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eLarge Scene Rendering (\u0026gt;16 GB VRAM)\u003c\/td\u003e\n\u003ctd class=\"warn\"\u003eBetter on RTX 5090 (32 GB VRAM)\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003ctd\u003eLLM Training \/ Fine-Tuning (large models)\u003c\/td\u003e\n\u003ctd class=\"warn\"\u003eLimited — see Threadripper PRO builds\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"gt-guides\"\u003e\n\u003ch4\u003eBuying Guides \u0026amp; Resources\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/best-workstation-pc-canada\"\u003eBest Workstation PC Canada\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/business-solutions-pro\"\u003eBusiness Solutions at GamerTech\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/workstations-pro\"\u003eAll Workstation Configurations\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/pages\/gamertech-toronto-contact-us\"\u003eContact Us for a Custom Quote\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"gt-cta-bar\"\u003e\n\u003cdiv\u003e\n\u003ch3\u003eMemory-heavy or GPU-heavy?\u003c\/h3\u003e\n\u003cp\u003eIf you can describe your daily app stack, we'll match you to the right build in 5 minutes.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:flex;gap:10px;flex-wrap:wrap\"\u003e\n\u003ca href=\"\/pages\/gamertech-toronto-contact-us\" class=\"gt-btn gt-btn-white\"\u003eGet a Custom Quote\u003c\/a\u003e\u003ca href=\"tel:+19052477085\" class=\"gt-btn gt-btn-green\"\u003e📞 (905) 247-7085\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"gt-trust\"\u003e\n\u003cdiv class=\"gt-tag\"\u003eGamerTech Guarantee\u003c\/div\u003e\n\u003ch3 style=\"font-size:16px;font-weight:800;color:#0f172a;margin:8px 0 4px\"\u003eEvery Build. Every Time.\u003c\/h3\u003e\n\u003cdiv class=\"gt-trust-grid\"\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e🔧\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eHand-Built\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eIn Vaughan, ON\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e✅\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003e1-Year Warranty\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eParts + Labour\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e🚚\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eFree Shipping\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eCanada-wide\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e⚡\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eSame-Day\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eOrder by 4 PM\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e🇨🇦\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003eCanadian Company\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eNo import fees\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"gt-trust-item\"\u003e\n\u003cdiv class=\"icon\"\u003e📞\u003c\/div\u003e\n\u003cdiv class=\"label\"\u003e(905) 247-7085\u003c\/div\u003e\n\u003cdiv class=\"sub\"\u003eTalk to a tech\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eWhat makes this build different from the RTX 5090 creator workstations?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eDifferent bottleneck. The RTX 5090 builds give you 32 GB of GPU VRAM — best when your bottleneck is GPU memory (full-resolution Flux generation, larger language-model inference on a single card, 32 GB scene caches for Octane \/ Redshift). This Studio Creator gives you 96 GB of system DDR5 — best when your bottleneck is system memory: multiple GPU-accelerated apps open at once (DaVinci Resolve + Substance 3D + Octane), 8K multi-camera timelines, large LLM inference via partial CPU offloading, or huge Lightroom Classic catalogs. The RTX 5080 still has 16 GB of GDDR7 — plenty for SDXL, Blender Cycles, and 4K editing — so the only step-down vs the 5090 builds is the top end of GPU-only workloads.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eCan 96 GB of DDR5 actually be used by creator software?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eYes. DaVinci Resolve uses system RAM for cache, smart preview, and Fusion compositions — 96 GB removes paging on multi-track 4K and 8K timelines. Lightroom Classic and Photoshop happily consume 60+ GB on heavy catalog work and large multi-layer documents. Blender uses system RAM for scene data and CPU-rendered passes. Local LLM tools like LM Studio and Ollama can offload model layers from GPU to system RAM, letting you run larger models (e.g. 70B at lower precision) than would fit in the RTX 5080's 16 GB VRAM alone.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eWhat is the Intel Core Ultra 9 285K?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eIntel's flagship Arrow Lake desktop CPU — 24 cores (8 Performance + 16 Efficient) on Intel's 20A process node with a 5.7 GHz boost. It replaces the i9-14900K naming. Strong on multi-threaded creator workloads, more power-efficient than the 14900K, and a great pairing with high-capacity DDR5 thanks to Arrow Lake's improved memory controller.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eWhy the RTX 5080 instead of the 5090?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eCost. This build hits the $6,999 price point — significantly below the $9,499 RTX 5090 creator builds — by pairing the RTX 5080 (16 GB GDDR7, excellent for SDXL, Flux, 4K editing, Blender Cycles, and real-time engines) with a much larger system memory pool. For most studio workloads where you're juggling apps rather than maxing out a single GPU, this is the better-value configuration.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eIs this available for same-day pickup?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eYes. This workstation ships same-day from our Vaughan, Ontario facility for orders placed by 4 PM, or free Canada-wide shipping with 2–5 business day delivery.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What makes this build different from the RTX 5090 creator workstations?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Different bottleneck. The RTX 5090 builds give you 32 GB of GPU VRAM — best when your bottleneck is GPU memory (full-resolution Flux generation, larger language-model inference on a single card, 32 GB scene caches for Octane \/ Redshift). This Studio Creator gives you 96 GB of system DDR5 — best when your bottleneck is system memory: multiple GPU-accelerated apps open at once (DaVinci Resolve + Substance 3D + Octane), 8K multi-camera timelines, large LLM inference via partial CPU offloading, or huge Lightroom Classic catalogs. The RTX 5080 still has 16 GB of GDDR7 — plenty for SDXL, Blender Cycles, and 4K editing — so the only step-down vs the 5090 builds is the top end of GPU-only workloads.\"}},{\"@type\":\"Question\",\"name\":\"Can 96 GB of DDR5 actually be used by creator software?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. DaVinci Resolve uses system RAM for cache, smart preview, and Fusion compositions — 96 GB removes paging on multi-track 4K and 8K timelines. Lightroom Classic and Photoshop happily consume 60+ GB on heavy catalog work and large multi-layer documents. Blender uses system RAM for scene data and CPU-rendered passes. Local LLM tools like LM Studio and Ollama can offload model layers from GPU to system RAM, letting you run larger models (e.g. 70B at lower precision) than would fit in the RTX 5080's 16 GB VRAM alone.\"}},{\"@type\":\"Question\",\"name\":\"What is the Intel Core Ultra 9 285K?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Intel's flagship Arrow Lake desktop CPU — 24 cores (8 Performance + 16 Efficient) on Intel's 20A process node with a 5.7 GHz boost. It replaces the i9-14900K naming. Strong on multi-threaded creator workloads, more power-efficient than the 14900K, and a great pairing with high-capacity DDR5 thanks to Arrow Lake's improved memory controller.\"}},{\"@type\":\"Question\",\"name\":\"Why the RTX 5080 instead of the 5090?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Cost. This build hits the $6,999 price point — significantly below the $9,499 RTX 5090 creator builds — by pairing the RTX 5080 (16 GB GDDR7, excellent for SDXL, Flux, 4K editing, Blender Cycles, and real-time engines) with a much larger system memory pool. For most studio workloads where you're juggling apps rather than maxing out a single GPU, this is the better-value configuration.\"}},{\"@type\":\"Question\",\"name\":\"Is this available for same-day pickup?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. This workstation ships same-day from our Vaughan, Ontario facility for orders placed by 4 PM, or free Canada-wide shipping with 2–5 business day delivery.\"}}]}\u003c\/script\u003e\n","brand":"GamerTech","offers":[{"title":"Default Title","offer_id":48333356105950,"sku":"GT-WS-CU9-285K-RTX5080-96","price":6999.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0475\/0131\/2165\/files\/WorkstationPC.png?v=1781289757","url":"https:\/\/gamertech.ca\/products\/studio-creator-workstation-intel-core-ultra-9-285k-rtx-5080-custom-built-computer","provider":"GamerTech Toronto","version":"1.0","type":"link"}