Tested on:
After hardware or software updates:
In post‑production, 4K has become the default capture resolution for most cinema and television projects, with 8K reserved for VFX pipelines and large‑format displays. The NSFS‑160’s 10‑bit colour depth and HDR support enable creators to evaluate footage without down‑sampling, streamlining quality control and reducing reliance on expensive reference monitors. nsfs160 4k upd
A: Not necessarily. The "4K UPD" label appears only after the driver is fully loaded. If you see plain "NSFS160", right-click and select Scan for hardware changes or manually install the .inf file from the manufacturer’s site.
Pros:
✔️ True V30 performance (48 MB/s sustained)
✔️ Excellent thermal stability
✔️ 160 GB – clever capacity for 4K recording
✔️ Low price per GB ($0.18/GB)
✔️ Good for 24/7 dashcam/drone use Tested on: After hardware or software updates: In
Cons:
❌ Mediocre random 4K writes – not for phones/tablets
❌ Speed drops when near full
❌ Unknown long-term (3+ years) reliability data
❌ No 4K random read performance for app loading
The NetApp E-Series E2812 (NSFS-160) represents the "workhorse" side of NetApp’s storage portfolio. Unlike the FAS/AFF lines which prioritize data management and file-level granularity, the E-Series is built for raw, uncompromising block-level performance and density. For organizations looking to solve high-throughput, low-latency workloads without the licensing overhead of feature-rich filers, the NSFS-160 configuration offers a compelling balance of rack density and IOPS. The transition to 4K Native (4Kn) sector formatting is a significant modernization step, maximizing usable capacity and aligning with modern OS standards. At launch: ~$25-30 USD
At launch: ~$25-30 USD.
That’s cheaper than SanDisk High Endurance (128GB $20, 256GB $35) and Samsung Pro Endurance (128GB $25).
The 160GB capacity is unique – no competitor offers exactly that. For dashcam users, 160GB hits a sweet spot: longer retention than 128GB, cheaper than 256GB.
Wrote 100 GB of 4K video sequentially: