9th Sep 2026, 10:54 PM
PNY 240GB CS1111 internal 2.5 inch SATA III Value Solid State Drive (SSD7CS1111-240-RB)
Price may vary by location, shipping cost, and availability.
Lowest ever
29% Off
₹26,925
₹37,695
Highest: ₹26,925
Average: ₹26,925
Lowest: ₹26,925
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of PNY 240GB CS1111 internal 2.5 inch SATA III Value Solid State Drive (SSD7CS1111-240-RB) here. This product's current Price in India is ₹26,925. The average and highest prices are ₹26,925 and ₹26,925 respectively.
| Lowest Ever Price | ₹26,925 |
|---|---|
| 9th Sep 2026 | |
| Average Price | ₹26,925 |
| Based on 1 days price tracking | |
| Highest Price | ₹26,925 |
| 9th Sep 2026 | |
Current Price in India
| Price | ₹26,925 |
|---|---|
| MRP | ₹37,695 |
| Savings | ₹10,770 |
| Discount | 28.57% |
Product Information
Details
| Product Name | PNY 240GB CS1111 internal 2.5 inch SATA III Value Solid State Drive (SSD7CS1111-240-RB) |
|---|---|
| Store Product Code | B00TIJMF84 |
| Store Name | amazon.in |
| Brand | PNY |
| Rating | 8.6 / 10 |
| Category | Internal Solid State Drives |
| Product Manufacturer | PNY |
| Model Number | SSD7CS1111-240-RB |
Features
- CS1111 SSD is a 2.5? SATAIII 7mm internal Solid State Drive from CS1100 series of SSDs (9.5mm with provided spacer)
- Upgrade your laptop or desktop computer and feel the difference with super-fast OS boot times and speedy application loads
- Delivers consistent read/write performance irrespective of the data format
- Quality product at a price point that customers can use for their advantage
- Sequential Read speeds of up to 430 MB/s and Write speeds of up to 300 MB/s
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Rating and Reviews
8.6 Based on 159 reviews
PNY 240GB CS1111 internal 2.5 inch SATA has 8.6 rating out of 10. This average rating is consist of 159 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.