Adamant Custom
Adamant Custom Intel Core Ultra 9 285K RTX 5070 Ti 192GB DDR5 1TB NVMe gaming PC
A 24-core Intel Core Ultra 9 285K gaming desktop with 192GB DDR5, RTX 5070 Ti 16GB graphics, 1TB NVMe storage and 360mm liquid cooling in a Corsair 4000D tower
- Release Year2026
- Form FactorTower
- AI FeaturesAI Ready
- ColorBlack
- Cooling SystemLiquid Cooling
- Operating SystemWindows 11 Pro
- 24-core Intel Core Ultra 9 285K handles heavy rendering and AI workloads
- 192GB DDR5 memory supports large datasets and multitasking
- 360mm liquid cooler keeps CPU temperatures low under sustained load
- RTX 5070 Ti 16GB GPU accelerates creative and gaming tasks
- 1TB Samsung 990 PRO NVMe SSD delivers 7450 MB/s read speeds
24-Core Workstation for AI and Rendering
This desktop pairs a 24-core Intel Core Ultra 9 285K with an Nvidia GeForce RTX 5070 Ti 16GB GPU. It targets professionals running AI learning, 3D modelling and video editing workloads that benefit from high core counts and dedicated graphics acceleration. The system ships with Windows 11 Pro installed and configured without bloatware.
PCIe 4.0 Storage and Connectivity Limits
The 1TB Samsung 990 PRO SSD operates over a PCIe 4.0 x4 link, delivering sequential reads up to 7450 MB/sec and writes up to 6900 MB/sec. Motherboard I/O includes one USB4 Type-C port, one USB 3.2 Gen 2 port, four USB 3.2 Gen 1 ports and four USB 2.0 ports at the rear, plus a front-panel USB 3.2 Type-C and two USB 3.2 Gen 1 ports. Networking relies on Intel 2.5Gb Ethernet and Wi-Fi 6E with Bluetooth 5.3.
360mm Liquid Cooling in a Corsair 4000D Tower
A 360mm quiet-edition AIO cooler handles the CPU thermal load inside a Corsair 4000D tempered-glass chassis measuring 490 x 239 x 486 mm. The Thermaltake Smart 850W 80 PLUS Bronze power supply uses a 140mm fan and Japanese main capacitors with over-voltage, under-voltage, over-power and short-circuit protection. Internal drive bays provide two 3.5-inch and two 2.5-inch slots, while the motherboard offers four M.2 connectors and four SATA 6Gb/s ports supporting RAID 0, 1, 5 and 10.
주요 특징
- 24-core Intel Core Ultra 9 285K handles heavy rendering and AI workloads
- 192GB DDR5 memory supports large datasets and multitasking
- 360mm liquid cooler keeps CPU temperatures low under sustained load
- RTX 5070 Ti 16GB GPU accelerates creative and gaming tasks
- 1TB Samsung 990 PRO NVMe SSD delivers 7450 MB/s read speeds
사양
| Release Year | 2026 |
|---|---|
| Form Factor | Tower |
| AI Features | AI Ready |
| Color | Black |
| Cooling System | Liquid Cooling |
| Operating System | Windows 11 Pro |
| Windows 11 | Ready |
| CPU Type | Intel Core Ultra 9 (Series 2) |
| CPU Name | Intel Core Ultra 9 285K |
| CPU Socket Type | LGA 1851 |
| GPU/VGA Type | GeForce RTX 5070 Ti |
| Memory Capacity | 192GB DDR5 |
| Memory Slots (Available/Total) | 4 total |
| Maximum Memory Supported | 192 GB |
| SSD | 1TB NVMe |
| HDD | No |
| Optical Drive Type | No |
| Screen Size | No Screen |
| Audio Chipset | Integrated |
| Audio Channels | 7.1 channels |
| LAN Chipset | Integrated |
| LAN Speed | 2.5Gbps |
| WLAN | 802.11ax Wireless LAN |
| WiFi Generation | Wi-Fi 6E |
| Bluetooth | Bluetooth 5.4 |
| RJ45 | 1 port |
이 상품에 대한 질문
Should I keep the 192GB DDR5 or choose a smaller kit for this 285K build?
The board supports a maximum of 192 GB across four slots, and this system already fills that limit with high-performance DDR5. Reducing capacity would free slots but lower the ceiling for rendering, modelling and AI workloads the 24-core CPU is aimed at.
What does the 5.70 GHz boost clock on the 285K actually deliver inside this liquid-cooled tower?
With a 360 mm quiet-edition AIO the 24-core chip can sustain its 5.70 GHz maximum turbo on active cores, giving peak single-thread speed for gaming and responsive multi-thread throughput for editing while keeping noise low.
The RTX 5070 Ti has 16GB VRAM — what resolution and workload ceiling does that set?
Sixteen gigabytes of VRAM on the RTX 5070 Ti covers 4K gaming with high textures and provides enough frame-buffer for GPU-accelerated rendering, modelling and AI learning tasks without paging to system memory.
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