Your Browsing History
Dual Edge TPU PCIe Adapter for Two Coral M.2 Accelerator Cards,PCIe Gen3 x4 to 4X Gen2 x1 Lane Splitter with Heatsink,AI Edge Computing
- AI Acceleration Powerhouse - Transform your system into a dual-TPU machine learning workstation for faster object detection, image classification, and real-time video analytics
- Future-Proof Design - Engineered for today's AI demands with room to grow as your projects scale
- Developer Friendly - Perfect for TensorFlow Lite models, computer vision applications, and edge AI deployments
- Space Efficient - Get dual TPU performance without requiring multiple PCIe slots
- Cost Effective - Maximize your existing hardware investment instead of buying a whole new system
+
+
Overview
Specs
Reviews
Any questions? Our AI beta will help you find out quickly.
Try me now
Maximize Your AI Inference Performance with Dual TPU Power! The Dual Edge TPU PCIe Adapter is the ultimate solution for AI developers and edge computing enthusiasts who need serious machine learning acceleration. This innovative adapter lets you connect two Coral M. 2 Accelerator with Edge TPU cards to a single PCIe Gen3 x4 slot, doubling your AI processing power for faster computer vision, real-time analytics, and deep learning applications. Why Professionals Choose the
Dual TPU Adapter: Double Your AI Speed - Run two Edge TPU cards simultaneously for up to 16 TOPS of neural network acceleration, perfect for demanding AI workloadsPlug-and-Play Installation - Simple setup with included mounting hardware - no complicated configurations neededOptimized PCIe Configuration -
Smart lane splitting: Upstream x2 Gen3 / Downstream 4x Gen2 x1 for maximum efficiencyProfessional Cooling System - Includes dedicated PCIe switch heatsink for reliable 24/7 operationBroad Compatibility - Works with standard desktops, workstations, and servers with PCIe Gen3 x4+ slotsTechnical
SpecificationsAdapter Type: PCIe Gen3 x4 to 4x Gen2 x1 Lane Splitter
Upstream Connection: PCIe Gen3 x2
Downstream Connections: 4x M. 2 E-key slots (for Coral Accelerators)
Form Factor: Standard PCIe full-height card
Cooling: Includes dedicated switch heatsink
Required Slot: PCIe Gen3 x4 or higher (x8/x16 slots work in x4 mode)
Compatibility: Linux and Windows systems with proper drivers
NOT Compatible: Raspberry Pi CM4 and other low-power SBCsWhat's in the Box1 x Dual Edge TPU PCIe Adapter Card 2 x M. 2 Mounting Screws 1 x PCIe Bracket Kit 1 x PCIe Switch Heatsink 1 x Quick Start GuidePerfect For These AI ApplicationsSmart Video Analytics - Process multiple video streams simultaneously for security, retail analytics, or traffic monitoringIndustrial Automation - Run complex vision inspection systems with low latencyRobotics & Drones - Enable real-time object recognition and navigationAI Research & Development - Test models faster with doubled inference capacityEdge Computing Deployments - Bring powerful AI to remote locations without cloud dependencyFrequently
Asked QuestionsQ: Do I need to purchase Coral TPU cards separately?
A: Yes, this is a hardware adapter only. Coral M. 2 Accelerator with Edge TPU cards must be purchased separately.
Q: Will this work with my desktop PC?
A: If your system has a PCIe Gen3 x4 (or larger) slot and runs Linux or Windows, it will work. Most modern desktops and workstations are compatible.
Q: How much performance improvement will I see?
A: You'll get approximately double the inference throughput for most AI workloads, as both TPUs can process models in parallel.
Q: Is special software required?
A: No special software needed - just install the standard Coral drivers and your existing AI applications will recognize both TPUs automatically.
Q: Can I use this for gaming or general computing?
A: This adapter is specifically designed for AI acceleration with Coral Edge TPUs. It won't improve gaming or general computing performance. Why This Adapter Solves Real ProblemsMost systems only have limited PCIe slots, forcing
AI developers to choose between: Running a single TPU and accepting slower processing Buying expensive specialized hardware Modifying their system with complex custom solutionsOur adapter solves this by doubling your AI capacity in one simple, reliable package - no system modifications needed. Whether you're building smart cameras, industrial inspection systems, or AI research platforms, this is the most cost-effective way to maximize your Edge TPU investment. Ready to supercharge your AI projects? Add to cart now and experience dual-TPU power!
Note: Coral is a trademark of Google LLC. This product is manufactured by makerfabs and is not affiliated with or endorsed by Google. Coral M. 2 Accelerator cards are sold separately. Adapter not compatible with Raspberry Pi Compute Module 4. The PCIe Gen3 x4 to Dual M. 2 AI Acceleration Adapter is a specialized h
Dual TPU Adapter: Double Your AI Speed - Run two Edge TPU cards simultaneously for up to 16 TOPS of neural network acceleration, perfect for demanding AI workloadsPlug-and-Play Installation - Simple setup with included mounting hardware - no complicated configurations neededOptimized PCIe Configuration -
Smart lane splitting: Upstream x2 Gen3 / Downstream 4x Gen2 x1 for maximum efficiencyProfessional Cooling System - Includes dedicated PCIe switch heatsink for reliable 24/7 operationBroad Compatibility - Works with standard desktops, workstations, and servers with PCIe Gen3 x4+ slotsTechnical
SpecificationsAdapter Type: PCIe Gen3 x4 to 4x Gen2 x1 Lane Splitter
Upstream Connection: PCIe Gen3 x2
Downstream Connections: 4x M. 2 E-key slots (for Coral Accelerators)
Form Factor: Standard PCIe full-height card
Cooling: Includes dedicated switch heatsink
Required Slot: PCIe Gen3 x4 or higher (x8/x16 slots work in x4 mode)
Compatibility: Linux and Windows systems with proper drivers
NOT Compatible: Raspberry Pi CM4 and other low-power SBCsWhat's in the Box1 x Dual Edge TPU PCIe Adapter Card 2 x M. 2 Mounting Screws 1 x PCIe Bracket Kit 1 x PCIe Switch Heatsink 1 x Quick Start GuidePerfect For These AI ApplicationsSmart Video Analytics - Process multiple video streams simultaneously for security, retail analytics, or traffic monitoringIndustrial Automation - Run complex vision inspection systems with low latencyRobotics & Drones - Enable real-time object recognition and navigationAI Research & Development - Test models faster with doubled inference capacityEdge Computing Deployments - Bring powerful AI to remote locations without cloud dependencyFrequently
Asked QuestionsQ: Do I need to purchase Coral TPU cards separately?
A: Yes, this is a hardware adapter only. Coral M. 2 Accelerator with Edge TPU cards must be purchased separately.
Q: Will this work with my desktop PC?
A: If your system has a PCIe Gen3 x4 (or larger) slot and runs Linux or Windows, it will work. Most modern desktops and workstations are compatible.
Q: How much performance improvement will I see?
A: You'll get approximately double the inference throughput for most AI workloads, as both TPUs can process models in parallel.
Q: Is special software required?
A: No special software needed - just install the standard Coral drivers and your existing AI applications will recognize both TPUs automatically.
Q: Can I use this for gaming or general computing?
A: This adapter is specifically designed for AI acceleration with Coral Edge TPUs. It won't improve gaming or general computing performance. Why This Adapter Solves Real ProblemsMost systems only have limited PCIe slots, forcing
AI developers to choose between: Running a single TPU and accepting slower processing Buying expensive specialized hardware Modifying their system with complex custom solutionsOur adapter solves this by doubling your AI capacity in one simple, reliable package - no system modifications needed. Whether you're building smart cameras, industrial inspection systems, or AI research platforms, this is the most cost-effective way to maximize your Edge TPU investment. Ready to supercharge your AI projects? Add to cart now and experience dual-TPU power!
Note: Coral is a trademark of Google LLC. This product is manufactured by makerfabs and is not affiliated with or endorsed by Google. Coral M. 2 Accelerator cards are sold separately. Adapter not compatible with Raspberry Pi Compute Module 4. The PCIe Gen3 x4 to Dual M. 2 AI Acceleration Adapter is a specialized h
Warranty & Returns
Warranty, Returns, And Additional Information
Warranty
- Please contact the Seller directly for warranty information. Warranty information may also be found on the Manufacturer's website.
- CONTACT
Return Policies
- This item is covered by VersaCom Return Policy
Manufacturer Contact Info
- For a directory of all our manufacturers, please click below.
- Manufacturers Directory
LOADING...