24-Core Liquid Cooled Editing Rendering Modelling AI Learning Workstation Computer PC Intel Core i9 14900K 3.2GHz Z790 Prime 128GB DDR5 4TB NVMe PCIe 4.0 SSD 10TB HDD 1200W Geforce RTX 5090 32GB
Status: 24-Core Liquid Cooled Editing Rendering…: Unavailable on Amazon as of . SpecPicks has no in-stock listing with matching specs on file; the search below lists current offers. eBay sellers may still list this model new or used.
Bottom line: The Adamant Custom Core i9 14900K / RTX 5090 prebuilt has 32GB of graphics memory, 128GB of DDR5 RAM and a 4TB NVMe SSD.
As an Amazon Associate, SpecPicks earns from qualifying purchases. Full disclosure →
Currently unavailable on Amazon. Not the same product — 3 in-stock alternatives:
Similar: Cloud Ninjas AI Workstation Designed for Adobe… — $33,924.20 on Amazon as of 2026-10-20 22:15 UTC (price may vary).
Similar: Sentinel Non-RGB RTX 5090 — $10,149.99 on Amazon as of 2026-10-21 16:16 UTC (price may vary).
Similar: Sentinel RTX 5090 — $10,999.99 on Amazon as of 2026-10-21 16:16 UTC (price may vary).
Pros & Cons
Pros
- ✓ Pairs a Core i9 14900K processor with GeForce RTX 5090 32GB graphics
- ✓ 4TB NVMe SSD for the OS and game library
- ✓ 128GB of DDR5 RAM leaves headroom for gaming alongside streaming or creative apps
Cons
- ✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated
Manufacturer description
SALES TO CALIFORNIA - Please write to us if ordering from California. Our certified laboratory tests and registers all computers in accordance with the laws of California. WARRANTY: 3 Years Labor and Parts, Quality Control, Lifetime Techsupport All configurations are customizable Case: Ceres 300 Series Tempered Glass Black System Fan: Front 2 x 140mm, Rear 1 x 140mm Front Ports: 2 x USB 3.2 Gen 1 Type-A, Headphone/Mic Bays: Internal 1 x 3.5" or 2 x 2.5" Dimensions (DxWxH) : 475 x 245 x 463 mm Power Supply: Toughpower 1200W 80 PLUS Gold Motherboard: Z790 PRIME Series Memory: 128GB DDR5 High…
SpecPicks Verdict
SpecPicks scored 24-Core Liquid Cooled Editing Rendering Modelling AI Learning… using a rating × review-volume × price-fit model applied to our editorial and benchmark analysis across the workstations & creator desktops category. Adamant Custom's workstations & creator desktops lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.
Common buyer scenarios for workstations & creator desktops of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.
Key Features
- For SALES TO CALIFORNIA — Please write to us. Our certified laboratory tests and registers all computers in accordance with the laws of California.
- CPU 24-Core Intel Core i9 14900K 3.2GHz ; 360mm AIO Liquid Cooler
- MB Z790 PRIME Series ; RAM 128GB DDR5 High Performance Memory
- STORAGE M.2 SSD 4TB NVMe 990 EVO PCI Express 4.0x4 + 10TB HDD
- GPU Geforce RTX 5090 32GB ; PSU Toughpower 1200W 80 PLUS Gold
- OS Windows 11 Pro 64-bit ; Wi-Fi 6 2x2 (802.11ax) ; Bluetooth v5.2
Full Specifications
| ASIN | B0G13VJBWD |
|---|---|
| Brand | Adamant Custom |
| RAM Type | DDR5 RAM |
| CPU Model | Core i9 |
| CPU Speed | 3.7 GHz |
| Cache Size | 36 MB |
| Model Name | F1014058 |
| Model Year | 2025 |
| Item Weight | 30 Pounds |
| Manufacturer | adamant technical services inc |
| Model Number | F1014058 |
| Built-In Media | Water Cooling |
| Cooling Method | Water |
| Item Dimensions | 20 x 10 x 20 inches |
| Power Plug Type | Type A - 2 pin (North American) |
| Processor Brand | Intel |
| Processor Count | 24 |
| Processor Speed | 3.7 GHz |
| Video Processor | NVIDIA |
| CPU Model Number | BX8071514900K |
Performance Data
View gaming FPS, AI inference throughput, and synthetic scores for the NVIDIA GeForce RTX 5090 — the core hardware component in this product. Benchmarks sourced from TechPowerUp, PassMark, and the r/LocalLLaMA community.
Related benchmarks: Intel Core i9-14900K benchmarks
Which local LLMs fit in 32 GB?
32 GB holds a 30–35B model at Q4 with a long context window; a 70B model runs only with layers resident in system RAM.
- ✅ 7–9B models (Llama 3.1 8B, Qwen 3 8B) — fits at Q4
- ✅ 12–14B models (Qwen 3 14B, Phi-4) — fits at Q4
- ✅ 20–27B models (Gemma 3 27B, Mistral Small) — fits at Q4
- ✅ 30–35B models (Qwen 3 32B, QwQ 32B) — fits at Q4
- ❌ 70B models (Llama 3.3 70B, Qwen 2.5 72B) — needs 48 GB+
Across 6 community runs from 4 sources, the NVIDIA GeForce RTX 5090 generates a median 185.9 tok/s on 7–9B models at Q4 (per Hardware Corner).
Ready to buy?
Amazon shows no buyable offer for 24-Core Liquid Cooled Editing Rendering… at the last check. A similar in-stock product is Cloud Ninjas AI Workstation Designed for Adobe…. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
Related Workstations & Creator Desktops
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- How to Build a Windows 98 Retro PC in 2026
- Best 1440p Gaming GPUs in 2026
- Best Retro Handhelds in 2026 — From $35 to $500
- Best Budget Gaming PC Build 2026 — ~$1,000 ($800 on Sale)
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
More reviews from the SpecPicks archive
Browse all reviews →- Build a Pocket RetroPie Handheld on a Raspberry Pi Zero W (2026 BOM)
- Why Preassembled PCs Beat DIY Builds in 2026
- NVIDIA DGX Spark Review: Grace Blackwell vs RTX 5090 & Mac Studio M3 Ultra
- Local Image Generation AI in 2026: AMD Hardware Performance & Setup Guide
- Build or Buy a Gaming PC in 2026? The Real Tradeoffs
- Run Soofi S 30B Locally: What a 12GB RTX 3060 Can Actually Do
- Dual GPU Llama.cpp Speedup: What Actually Helps
- Best Parts for a Budget Ryzen + RTX 3060 Gaming PC Build in 2026
- ProgramBench: Can LLMs Rebuild Programs From Scratch?
- Second Streaming PC vs NVENC: What an Old i7-9700K Is Still Good For
- GLM-5.2 for Local Agents: Can a 12GB RTX 3060 Run Long-Horizon Tasks?
- Best 1440p Gaming Monitor in 2026: 5 Picks for Esports, RPGs, and PS5
- Noctua NH-U12S vs MasterLiquid ML240L for a Ryzen 7 5800X
- 3dfx Voodoo3 3000 PCI vs Voodoo5 5500 AGP: Win98 Performance Synthesis (2026)
- Best Sim Racing Wheel + Shifter Combo Under $400 in 2026: 5 Setups for iRacing, ACC, and GT3
- Best Travel Gaming Kit in 2026: 5 Picks for Hotels and Flights
- 768GB Optane vs RTX 3060 12GB: The Trillion-Param LLM Reality
- Small Form Factor Gaming PC Build Guide for 2024
- Open WebUI — self-hosted ChatGPT for your local models
- Best Gaming PC Build Components for 2026
- Building a Local LLM Workstation on a Raspberry Pi 5 + Ryzen 7 5800X Hybrid
- Continuous Blood Pressure Monitoring Without a Cuff in 2026
- HiDream-O1-Image Debuts as Top Open-Weights Text-to-Image Model
- Period-Correct 2002 LAN Party Build Around an Athlon XP and GeForce 4 Ti
Earliest SpecPicks reviews
Browse full archive →- Best GPU for Llama 3.1 8B (2026)
- Best GPU for Qwen 3 14B (2026)
- Best GPU for Qwen 3 32B (2026)
- Best GPU for Llama 3.1 70B (2026)
- Best GPU for DeepSeek-R1 32B (2026)
- Best GPU for Llama 3.1 405B (2026)
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 14B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 70B on NVIDIA GeForce RTX 5090
- How to run DeepSeek-R1 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 4090