{"product_id":"unitree-expansion-compute-100-tops","title":"Unitree Expansion Compute (100 TOPS)","description":"\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\"\u003e\u003cmeta name=\"description\" content=\"Unitree Expansion Compute 100 TOPS: high-performance AI compute module, 2.5x vs 40 TOPS, open to secondary development, with AI algorithm technical support.\"\u003e\u003c\/p\u003e\n\u003cdiv style=\"max-width: 960px; margin: 0 auto; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif; line-height: 1.7; color: #1a1a1a;\"\u003e\n\u003c!-- HERO --\u003e\n\u003cdiv style=\"text-align: center; margin-bottom: 56px; padding: 48px 24px; background: linear-gradient(135deg, #0f172a 0%, #1e293b 100%); border-radius: 20px; color: #fff;\"\u003e\n\u003cdiv style=\"display: inline-block; background: rgba(255,255,255,0.1); backdrop-filter: blur(10px); padding: 6px 16px; border-radius: 999px; font-size: 12px; font-weight: 600; letter-spacing: 0.8px; text-transform: uppercase; margin-bottom: 20px; color: #38bdf8;\"\u003eUnitree Robotics — Official Expansion Module\u003c\/div\u003e\n\u003ch1 style=\"font-size: 36px; font-weight: 800; letter-spacing: -0.8px; margin-bottom: 16px; color: #fff;\"\u003eUnitree Expansion Compute (100 TOPS)\u003c\/h1\u003e\n\u003cp style=\"font-size: 18px; color: #94a3b8; max-width: 720px; margin: 0 auto; line-height: 1.6;\"\u003eHigh-performance \u003cstrong\u003e100 TOPS AI expansion compute module\u003c\/strong\u003e for Unitree robots. Open to \u003cstrong\u003esecondary development\u003c\/strong\u003e with full \u003cstrong\u003eAI algorithm technical support\u003c\/strong\u003e. Enables advanced on-board perception, navigation, and autonomous decision-making by offloading neural network inference from the main controller to a dedicated AI accelerator.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- KEY SPECS --\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(140px, 1fr)); gap: 16px; margin-bottom: 56px;\"\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e100\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eTOPS AI\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003eOpen\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eSDK \/ Dev\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003eAI\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eAlgorithm Support\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003e2nd\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eDevelopment\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003eDock\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eForm Factor\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: PRODUCT OVERVIEW --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Product Overview\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eUnitree Expansion Compute (100 TOPS)\u003c\/strong\u003e is a dedicated AI acceleration module that supercharges your Unitree robot with massive on-board neural network inference capability. Delivering \u003cstrong\u003e100 Tera Operations Per Second (TOPS)\u003c\/strong\u003e of AI compute performance, this expansion module enables real-time processing of complex perception algorithms — including object detection, semantic segmentation, depth estimation, SLAM, and behavior prediction — directly on the robot without relying on cloud connectivity or external servers. The module is \u003cstrong\u003eopen to secondary development\u003c\/strong\u003e, providing researchers and engineers with full access to the compute stack, APIs, and development tools. Unitree provides dedicated \u003cstrong\u003eAI algorithm technical support\u003c\/strong\u003e to help teams optimize, deploy, and debug their custom neural networks on the 100 TOPS platform.\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 16px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e40 TOPS AI Performance\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDelivers \u003cstrong\u003e100 TOPS\u003c\/strong\u003e of dedicated AI inference performance — \u003cstrong\u003e2.5x\u003c\/strong\u003e the 40 TOPS variant for the most demanding workloads. Handles multiple concurrent neural networks in real time for perception, planning, and control.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eOpen to Secondary Development\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eFull \u003cstrong\u003eopen SDK and development environment\u003c\/strong\u003e. Access APIs, toolchains, and documentation to build, port, and optimize custom AI algorithms for your specific use case.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eAI Algorithm Technical Support\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDedicated \u003cstrong\u003eUnitree technical support\u003c\/strong\u003e for AI algorithm development. Get expert guidance on model optimization, deployment, debugging, and performance tuning.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eDock-Style Form Factor\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eCompact \u003cstrong\u003esled\/dock form factor\u003c\/strong\u003e designed for seamless integration with Unitree robot chassis. Secure mechanical attachment and reliable electrical interface.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eOn-Board Edge Inference\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eProcess all AI workloads \u003cstrong\u003eon the robot\u003c\/strong\u003e — no cloud dependency, no latency from network round-trips. Essential for real-time autonomous operation.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eMulti-Network Concurrency\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRun \u003cstrong\u003emultiple neural networks simultaneously\u003c\/strong\u003e — e.g., object detection + depth estimation + semantic segmentation — without frame drops or latency spikes.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: AI CAPABILITIES --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e AI Workloads Enabled by 100 TOPS\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eWith 100 TOPS of dedicated AI compute, the Expansion Compute module unlocks a wide range of advanced autonomous capabilities:\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 16px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 24px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 13px; font-weight: bold; color: #0ea5e9; margin-bottom: 8px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003ePerception\u003c\/div\u003e\n\u003cdiv style=\"font-size: 15px; font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eObject Detection \u0026amp; Tracking\u003c\/div\u003e\n\u003cdiv style=\"font-size: 13px; color: #64748b;\"\u003eReal-time detection and tracking of people, obstacles, and objects in the robot's environment using YOLO, SSD, or custom detectors.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 24px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 13px; font-weight: bold; color: #0ea5e9; margin-bottom: 8px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eVision\u003c\/div\u003e\n\u003cdiv style=\"font-size: 15px; font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eSemantic Segmentation\u003c\/div\u003e\n\u003cdiv style=\"font-size: 13px; color: #64748b;\"\u003ePixel-level classification of terrain, walkways, stairs, and hazards for safe path planning and terrain-aware locomotion.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 24px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 13px; font-weight: bold; color: #0ea5e9; margin-bottom: 8px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eNavigation\u003c\/div\u003e\n\u003cdiv style=\"font-size: 15px; font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eVisual SLAM \u0026amp; Localization\u003c\/div\u003e\n\u003cdiv style=\"font-size: 13px; color: #64748b;\"\u003eOn-board visual SLAM with deep learning feature extraction. Build and update maps in real time without external positioning systems.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 24px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 13px; font-weight: bold; color: #0ea5e9; margin-bottom: 8px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003ePlanning\u003c\/div\u003e\n\u003cdiv style=\"font-size: 15px; font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eBehavior Prediction\u003c\/div\u003e\n\u003cdiv style=\"font-size: 13px; color: #64748b;\"\u003ePredict the motion of dynamic agents (people, vehicles) to plan safe, socially aware trajectories in shared spaces.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: DEVELOPMENT --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Secondary Development \u0026amp; Support\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe Expansion Compute module is designed from the ground up for developers, researchers, and integrators who need to push beyond factory-default capabilities:\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 16px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eOpen SDK \u0026amp; APIs\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eFull access to compute APIs, inference engine interfaces, and sensor data pipelines. Build applications in Python, C++, or CUDA as supported by the platform.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eModel Porting Tools\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eToolchain support for converting and optimizing models from PyTorch, TensorFlow, and ONNX formats to the target inference runtime.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eAI Algorithm Support\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDirect technical support from Unitree AI engineers. Get help with model selection, architecture optimization, quantization, and deployment strategies.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003eDocumentation \u0026amp; Examples\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eComprehensive developer manuals, API references, and sample code for common AI tasks. Accelerate development with proven reference implementations.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: INTEGRATION --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Physical Integration\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe Expansion Compute module features a compact \u003cstrong\u003edock-style form factor\u003c\/strong\u003e that slides into the dedicated expansion bay on compatible Unitree robot chassis. The mechanical design ensures secure retention during dynamic locomotion, while the electrical interface provides high-bandwidth data and stable power delivery to the AI accelerator. Installation is tool-free in most configurations, allowing quick swaps between robots or rapid field replacement.\u003c\/p\u003e\n\u003cdiv style=\"background: #fffbeb; border: 1px solid #fcd34d; border-radius: 12px; padding: 20px 24px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #92400e; margin-bottom: 8px; font-size: 15px;\"\u003eImportant Notes\u003c\/div\u003e\n\u003cul style=\"color: #78350f; line-height: 1.8; padding-left: 20px; margin: 0; font-size: 14px;\"\u003e\n\u003cli\u003eThe Expansion Compute module is a \u003cstrong\u003epaid optional accessory\u003c\/strong\u003e. Verify compatibility with your specific robot model before purchase.\u003c\/li\u003e\n\u003cli\u003eSecondary development requires programming knowledge in supported languages (Python, C++, CUDA as applicable).\u003c\/li\u003e\n\u003cli\u003eAI algorithm technical support covers guidance and troubleshooting. Custom model development remains the responsibility of the customer.\u003c\/li\u003e\n\u003cli\u003eActual inference performance depends on model architecture, precision, batch size, and concurrent workload.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c!-- SPECS TABLE --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Technical Specifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: separate; border-spacing: 0; font-size: 14px; color: #334155; margin-bottom: 56px; border-radius: 12px; overflow: hidden; border: 1px solid #e2e8f0;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: #0f172a; color: #fff;\"\u003e\n\u003ctd style=\"padding: 14px 18px; font-weight: 600; width: 42%;\"\u003eParameter\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; font-weight: 600;\"\u003eUnitree Expansion Compute (100 TOPS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eAI Compute Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e100 TOPS (Tera Operations Per Second)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eDevelopment Access\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eOpen to secondary development — full SDK and APIs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eTechnical Support\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eAI algorithm technical support included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eDock\/sled style expansion module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eInstallation\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eSlides into dedicated expansion bay (tool-free on most models)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eInference Location\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eOn-board edge inference — no cloud dependency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eSupported Workloads\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eObject detection, segmentation, SLAM, depth estimation, behavior prediction, and custom networks\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eModel Support\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003ePyTorch, TensorFlow, ONNX (via conversion toolchain)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eProgramming Languages\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003ePython, C++, CUDA (as supported by platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; font-weight: 600;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px;\"\u003e12 months\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c!-- WHAT'S IN THE BOX --\u003e\n\u003cul style=\"color: #475569; line-height: 2; padding-left: 22px; margin-bottom: 56px; font-size: 15px;\"\u003e\u003c\/ul\u003e\n\u003cp style=\"font-size: 12px; color: #94a3b8; text-align: center; margin-top: 32px; line-height: 1.5;\"\u003e* Specifications are based on manufacturer data and may vary slightly by production batch.\u003cbr\u003e* 100 TOPS performance is the theoretical peak under optimal conditions. Actual throughput depends on model architecture, precision, and workload.\u003cbr\u003e* Secondary development requires appropriate programming skills and familiarity with AI\/ML frameworks.\u003cbr\u003e* AI algorithm technical support covers guidance and troubleshooting for supported platforms. Custom model development is the customer's responsibility.\u003cbr\u003e* Verify compatibility with your specific robot model before purchase. Not all Unitree robots support the Expansion Compute bay.\u003cbr\u003e* Unitree is a registered trademark of Unitree Robotics.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unitree","offers":[{"title":"Default Title","offer_id":50144298041621,"sku":"R1-COMPUTE-100-TOPS","price":3800.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/ExpansionCompute100TOPS.png?v=1788351617","url":"https:\/\/futurology.tech\/products\/unitree-expansion-compute-100-tops","provider":"Futurology Tech","version":"1.0","type":"link"}