20th Jul 2026, 10:55 PM
LINKUP - AVA 600W PCIE 5.0 16Pin (12+4) High Current Power Cable | Molded & Soldered Type 16AWG Sleeved | Compatible with RTX5000 RTX4000 RTX3000 FE | 70cm White
Price may vary by location, shipping cost, and availability.
60% Off
₹8,748
₹21,999
Highest: ₹8,882
Average: ₹7,584
Lowest: ₹4,801
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of LINKUP - AVA 600W PCIE 5.0 16Pin (12+4) High Current Power Cable | Molded & Soldered Type 16AWG Sleeved | Compatible with RTX5000 RTX4000 RTX3000 FE | 70cm White here. This product's current Price in India is ₹8,748. The average and highest prices are ₹7,584 and ₹8,882 respectively.
| Lowest Ever Price | ₹4,801 |
|---|---|
| 16th May 2025 | |
| Average Price | ₹7,584 |
| Based on 886 days price tracking | |
| Highest Price | ₹8,882 |
| 8th Apr 2026 | |
Price History of All Variants of LINKUP - AVA 600W PCIE 5.0 16Pin...
Current Price in India
| Price | ₹8,748 |
|---|---|
| MRP | ₹21,999 |
| Savings | ₹13,251 |
| Discount | 60.23% |
Recent Price Drops on LINKUP - AVA 600W PCIE 5.0 16Pin (12+4) High Current Power Cable | Molded & Soldered Type 16AWG Sleeved | Compatible with RTX5000 RTX4000 RTX3000 FE | 70cm White
Price Drop 29th May 2026
₹8,730 → ₹7,816
10.47% drop
Price Drop 24th Mar 2026
₹8,117 → ₹6,728
17.11% drop
Price Drop 25th Jan 2026
₹7,979 → ₹5,016
37.14% drop
Price Drop 6th Dec 2025
₹7,836 → ₹5,007
36.1% drop
Price Drop 12th Aug 2025
₹7,587 → ₹6,870
9.44% drop
Price Drop 16th May 2025
₹7,028 → ₹4,801
31.69% drop
Price Drop 27th May 2024
₹6,746 → ₹6,309
6.48% drop
Product Information
Details
| Product Name | LINKUP - AVA 600W PCIE 5.0 16Pin (12+4) High Current Power Cable | Molded & Soldered Type 16AWG Sleeved | Compatible with RTX5000 RTX4000 RTX3000 FE | 70cm White |
|---|---|
| Store Product Code | B0CG27HK63 |
| Store Name | amazon.in |
| Brand | LINKUP |
| Rating | 10 / 10 |
| Category | Power Cables |
| Product Manufacturer | LINKUP Technology Inc. |
| Model Number | AG-PW-16MM2MS-070WH |
| Model Number | AG-PW-16MM2MS-070WH |
| Model Name | AG-PW-16MM2MS-070WH |
| Country of Origin | USA |
Features
- Superior Design & Aesthetics: Linkup high-quality, rugged, and routable modular PCIe 5.0 16AWG PSU cable for Nvidia 4000 series and RTX 3000 FE GPUs provides a refined professional look for the perfect build with added benefits of left or right angle connectors for the GPU power connection. Male 12VHPWR (16Pin / 12+4) to Male 12VHPWR (16Pin / 12+4) cables designed for use with 12VHPWR power supplies. This is a direct PSU to GPU cable (not an extension cable)
- Compatibility: Designed for the latest RTX 4000 GPUs including RTX 4070, 4080, 4090, and with all "ti" versions. Also compatible with RTX 3090 ti and RTX 3000 FE (Founders Edition). Not compatible with Nvidia RTX 3000 series graphics cards made by other brands or AMD GPUs. For Gen 5 (PCIe 5.0) 12VHPWR type-4 power supplies only
- Uncompromised Quality: Avoid cheap UL1007 wires. Our adapter incorporates 16AWG UL1571 tinned copper wires and high-end sleeves. Soldered contacts and molded connectors have been employed to handle high temperature and power for Nvidia RTX 4000 series GPUs. The power output can be scaled down to 150W, 300W, & 450W depending on the GPUs requirement
- Trusted Warranty: With LINKUP, you're covered. We offer a 365-day limited manufacturer warranty. Rest assured, our dedicated customer care team responds to all inquiries within 48 hours. Please check the PSU brand and model compatibility list below.
- Warning: For safety, make sure both the 12VHPWR (12+4 pin) connectors are FULLY inserted into GPU and PSUs power ports, this will ensure delivery of full 600W power to GPU
Images
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Rating and Reviews
10 Based on 7 reviews
LINKUP - AVA 600W PCIE 5.0 16Pin has 10 rating out of 10. This average rating is consist of 7 individual ratings. You can rate this product at product review page.
* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.