{"product_id":"intel-arc-pro-b50-16gb","title":"Intel Arc Pro B50 (16GB)","description":"\u003cp\u003eThe Intel Arc Pro B50 is proof that a workstation GPU doesn’t need a huge power budget or a huge price tag to be genuinely useful. Built on Intel’s Xe2 “Battlemage” architecture, this compact, low-profile card packs 16GB of memory and dedicated AI acceleration into a 70W design that needs no external power connector at all — making it an easy, low-risk upgrade for small-form-factor workstations, entry-level AI inference boxes, and multi-display CAD or design setups where space and power budget are tight.\u003c\/p\u003e\n\u003ch6\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/h6\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel Xe2 “Battlemage” architecture\u003c\/strong\u003e — built on TSMC’s N5 process, Intel’s second-generation discrete GPU architecture with dedicated ray tracing and matrix (XMX) engines for AI workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16GB GDDR6\u003c\/strong\u003e — more memory than many competing entry workstation cards at this price and power point, useful headroom for CAD models, multi-layer design work, and small-to-mid AI models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16 Xe2 Cores, 128 XMX Engines\u003c\/strong\u003e — dedicated AI acceleration matrix hardware alongside 16 ray tracing units, delivering up to 170 TOPS of INT8 performance for AI inference workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10.65 TFLOPS FP32 compute\u003c\/strong\u003e — solid general-purpose shader performance for CAD, design, and light rendering work.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJust 70W total board power\u003c\/strong\u003e — no external power connector needed on most builds, drawing power entirely from the PCIe slot.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLow-profile, dual-slot, single-fan design\u003c\/strong\u003e — fits compact and small-form-factor workstations where larger workstation cards simply won’t physically fit.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe 5.0 x8 interface\u003c\/strong\u003e — a modern interface standard at a fraction of the power draw of higher-end workstation cards.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e224GB\/s memory bandwidth\u003c\/strong\u003e — solid throughput for a card in this power and price class.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch6\u003e\u003cstrong\u003eThe Easy Entry Point Into Professional GPU Compute\u003c\/strong\u003e\u003c\/h6\u003e\n\u003cp\u003eThe Arc Pro B50 targets a segment that’s been underserved for years: professionals who need a certified, reliable workstation GPU but don’t need — or can’t power and cool — a 200W-plus card. Small-form-factor workstations, dense multi-seat deployments, and thin-and-light mobile workstation docks all benefit from a card that draws its entire power budget from the PCIe slot and still fits a low-profile, dual-slot bracket. For CAD, 2D\/3D design, video editing, and light content creation, 16GB of memory and Intel’s Xe2 ray tracing hardware provide a genuinely capable professional experience, not a stripped-down compromise.\u003c\/p\u003e\n\u003cp\u003eFor AI, the 128 XMX engines put the B50 in an interesting position: it’s not built for training or heavy fine-tuning, but for lightweight local inference — running smaller open-weight LLMs, image classification models, or vision pipelines at the edge — it offers real dedicated matrix acceleration in a card that costs and draws a fraction of what a flagship AI GPU does. For businesses deploying entry-level AI inference across many desks or edge devices, the B50’s low power draw and no-external-power-connector design also simplify procurement and system design considerably: virtually any modern PSU can power one, and OEM systems can spec it without redesigning power delivery.\u003c\/p\u003e\n\u003cp\u003eIt’s worth being clear-eyed about where the B50 sits in the market: this is an entry-level professional card, not a high-end rendering or AI training GPU, and Intel’s software ecosystem (drivers, ISV certifications, oneAPI tooling) is younger than NVIDIA’s or AMD’s — though it has matured quickly and Intel actively certifies against major professional applications. For buyers whose workloads fit within its power envelope — compact CAD workstations, multi-display professional setups, and light local AI inference — the B50 offers genuine professional-grade capability at a price and power draw nothing else in Intel’s, AMD’s, or NVIDIA’s current lineups can match.\u003c\/p\u003e\n\u003cp\u003eIt’s also a sensible fleet-upgrade card: because it draws all its power from the PCIe slot, IT teams refreshing rows of compact workstations don’t need to audit or upgrade power supplies system by system, which meaningfully lowers the total cost and time of a rollout compared to swapping in higher-wattage cards that demand new PSUs or additional power connectors.\u003c\/p\u003e\n\u003ch4\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eArchitecture: Intel Xe2 “Battlemage,” TSMC N5\u003c\/li\u003e\n\u003cli\u003eXe2 Cores: 16 (128 XMX engines, 16 ray tracing units)\u003c\/li\u003e\n\u003cli\u003eMemory: 16GB GDDR6, 128-bit bus\u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth: 224GB\/s\u003c\/li\u003e\n\u003cli\u003eCompute Performance: 10.65 TFLOPS FP32 \/ up to 170 TOPS INT8\u003c\/li\u003e\n\u003cli\u003eClocks: 1,700MHz base \/ 2,600MHz boost\u003c\/li\u003e\n\u003cli\u003eTotal Board Power: 70W (no external power connector)\u003c\/li\u003e\n\u003cli\u003eInterface: PCIe 5.0 x8\u003c\/li\u003e\n\u003cli\u003eForm Factor: Low-profile, dual-slot, single-fan\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Intel","offers":[{"title":"Default Title","offer_id":66189487341917,"sku":"INTEL-ARCB50","price":225.81,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1080\/9321\/0973\/files\/gpu-arc-b50.png?v=1791752016","url":"https:\/\/saleforgery.com\/products\/intel-arc-pro-b50-16gb","provider":"SaleForge","version":"1.0","type":"link"}