Best Pick

ASUS Ascent GX10 Stellar Gray 2025

70.7 Compact & SFF Score
20-Core: Up to 3.25 GHz Cortex A725 (10 Cores)Up to 3.8 GHz Cortex X925 (10 Cores)128GB RAM2TBNVIDIA GB10 Grace Blackwell Superchipmini
Why we recommend this

The NVIDIA GB10 Grace Blackwell Superchip delivers petaflop-scale AI compute with 128GB of unified LPDDR5x memory, enabling large model inference in a compact, stackable metal chassis. Its 10GbE networking and Wi-Fi 7 connectivity, combined with a 2TB NVMe SSD, provide high-speed data throughput for secure, on-device agentic workflows. This workstation is best for AI developers running private, long-duration agentic tasks with frameworks like OpenClaw and NemoClaw.

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Great Alternatives

These options also score highly and may better suit your specific needs

Lenovo ThinkStation P3 Tiny Gen 2 Raven Black 2026

63.5 Compact & SFF Score
Intel Core Ultra 964GB RAM1TBNVIDIA RTX A1000mini
Why we recommend this ▼

Packing a 24-core Intel Core Ultra 9 285 vPro and an NVIDIA RTX A1000 with 8GB VRAM into a mini form factor, this workstation delivers certified ISV reliability in a space-saving chassis. The 64GB of DDR5 memory and a fast 1TB PCIe Gen5 SSD ensure responsive multitasking and rapid data access for demanding workflows. It’s best for engineers and CAD designers who need professional-grade graphics and vPro manageability without sacrificing desk space.

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Acer Veriton GN100 Black 2025

58.5 Compact & SFF Score
Intel Processor N100128GB RAM3.9TBNVIDIA Blackwell Architecturemini
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NextComputing Edge XTI EXTI-9285K-01

57.3 Compact & SFF Score
Intel Core Ultra 9 285K128GB RAM6TBNVIDIA RTX 4000 Adaworkstation
Why we recommend this ▼

Equipped with a 24-core Intel Core Ultra 9 285K and an NVIDIA RTX 4000 Ada with 20GB VRAM, this workstation accelerates demanding 3D rendering and simulation workloads. Its 128GB of fast DDR5 RAM and dual 2TB NVMe drives provide massive headroom for complex, memory-intensive projects without bottlenecks. This system is best for 3D artists and engineers who need certified GPU drivers and high-speed 10G Ethernet for reliable, large-scale rendering tasks.

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NextComputing Edge XTA EXTA-R99950X-05

55.6 Compact & SFF Score
AMD Ryzen 9 9950X128GB RAM5TBNVIDIA GeForce RTX 5090workstation
Why we recommend this ▼

The liquid-cooled 16-core Ryzen 9 9950X and RTX 5090 with 32GB GDDR7 deliver extreme rendering power, backed by 128GB of 5600 MHz DDR5 RAM. A combined 5TB of PCIe 4.0 NVMe storage and liquid CPU cooling distinguish it for sustained heavy workloads without throttling. This workstation is best for creators handling 8K video timelines, large-scale 3D rendering, and scientific simulations that demand massive GPU memory and multi-threaded CPU performance.

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PNY DGX Spark Black 2025

55.5 Compact & SFF Score
Apple M2 128GB RAM1000GBNVIDIA RTX A1000mini
Why we recommend this ▼

The NVIDIA GB10 Grace Blackwell Superchip delivers petaflop-scale AI compute in a 1.20kg chassis, paired with 128GB of unified LPDDR5x memory and a 4TB NVMe SSD. Dual 200G QSFP112 networking ports and Wi-Fi 7 provide high-throughput connectivity uncommon in a mini desktop form factor. This workstation is best for AI researchers and developers running large language model training and inference locally.

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Cooler Master NR2 Pro AYG-M2C7-N68GII32-N1 Space Grey 2025

51.6 Compact & SFF Score
Intel Core Ultra 7 265KF32GB RAM2TBNVIDIA GeForce RTX 5080mini
Why we recommend this ▼

A 20-core Intel Ultra 7 265KF and GeForce RTX 5080 16GB inside an 18.25-liter chassis push 120+ FPS at 1440p high, cooled by a 280mm AIO and 850W Gold PSU. The 2TB Gen4 SSD and 32GB of 6000MHz DDR5 RAM deliver fast loading, and the dual-panel steel body swaps between tempered glass and ventilated mesh with a bloatware-free OS. This mini-ITX rig suits 1440p gamers and video editors who need high frame rates and quiet cooling in a space-saving footprint.

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Gigabyte AI TOP ATOM ATAGB10-9000 Black 2025

50.2 Compact & SFF Score
NVIDIA GB10128GB RAM4TBNVIDIAmini
Why we recommend this ▼

Delivering petaflop-scale AI compute in a 1.20kg mini form factor, this system is defined by its NVIDIA GB10 Grace Blackwell Superchip and unified 128GB LPDDR5x memory pool. The 4TB PCIe 5.0 SSD and dual 200G QSFP112 networking ports make it a connectivity powerhouse for local model training. It is best for AI developers who need to prototype and fine-tune large language models locally without cloud dependency.

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ASUS DGX Spark Workstation GX10-GG0010BN

47.1 Compact & SFF Score
NVIDIA GB10128GB RAM1000GBNVIDIA Grace Blackwellworkstation
Why we recommend this ▼

The NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified LPDDR5x memory enables petaflop-scale AI compute in a compact 1.48kg metal chassis. Its stackable design and full-stack DGX OS support secure, private agentic workflows with frameworks like OpenClaw and NemoClaw. This mini workstation is best for AI developers who need to run sandboxed, long-running LLM inference and governed data pipelines on-device.

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Corsair ONE CS-9020053-NA Metal Dark

42.2 Compact & SFF Score
Intel Core Ultra 9 285K64GB RAM2TBNVIDIA GeForce RTX 5080desktop
Why we recommend this ▼

The liquid-cooled Intel Core Ultra 9 285K and RTX 5080 16GB graphics, packed into a metal dark small-form-factor chassis, deliver high frame rates and workstation-grade compute without dominating your desk. 64GB of 6400 MT/s DDR5 RAM, a 2TB NVMe SSD, and Wi-Fi 7 with dual USB-C ensure rapid data access and extensive connectivity. This desktop suits 4K gamers and workstation users running 3D rendering or AI models, where the 24-core CPU and 16GB VRAM accelerate heavy multitasking.

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Lenovo ThinkStation P5 Gen 2

41.1 Compact & SFF Score
Intel Xeon 63832GB RAM1000GBNVIDIA RTX Pro 5000workstation
Why we recommend this ▼

The 48GB NVIDIA RTX Pro 5000 GPU and 16-core Intel Xeon processor deliver certified reliability for demanding simulation and rendering workloads. Its tool-less chassis and Wi-Fi 7 connectivity prioritize easy upgradability and high-speed data transfer in a traditional tower form factor. This workstation is best for engineers and AI practitioners running memory-intensive models or complex 3D scenes that require ECC memory stability.

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HP Z6 G5 A Tower

38.8 Compact & SFF Score
AMD Ryzen Threadripper 9975WX64GB RAM1TBNo Graphics Card Installedworkstation
Why we recommend this ▼

The 32-core AMD Ryzen Threadripper PRO 9975WX and 64GB of 6400 MHz DDR5 ECC RAM provide massive parallel processing power for heavily threaded workloads. Its tool-less chassis and 1125W PSU are ready for multiple high-end GPUs, making it a highly configurable foundation for expansion. This barebones workstation is best for IT departments and engineers who need to install their own specialized graphics cards for AI model training or complex 3D rendering.

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HP ZGX Nano G1n Black 2026

38.3 Compact & SFF Score
NVIDIA GB10128GB RAM4TBNVIDIA Grace Blackwellmini
Why we recommend this ▼

Combining an NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified LPDDR5x memory, this 1.25kg mini workstation delivers 1,000 TOPS of local AI compute. Dual 200G QSFP112 ports allow pairing multiple units for scaled prototyping, while the curated open-source stack streamlines model export and local serving. It is best for AI developers needing a compact, deployment-ready system for fine-tuning and inferencing large models without cloud dependency.

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Lenovo ThinkStation P5 Gen 2

37.8 Compact & SFF Score
Intel Xeon 65664GB RAM2.0TBNVIDIA RTX Pro 5000workstation
Why we recommend this ▼

The 20-core Intel Xeon processor and NVIDIA RTX Pro 5000 with 48GB GDDR7 VRAM deliver certified reliability for demanding simulations and AI model training. Error-correcting 6400 MHz DDR5 RAM and a PCIe 5.0 SSD safeguard data integrity while accelerating large dataset transfers. This tower is best for engineers and AI practitioners running multi-threaded, precision-sensitive workloads that require ISV certification and massive VRAM capacity.

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HP Z6 G5 A Tower

35.6 Compact & SFF Score
AMD Ryzen Threadripper 9975WX32GB RAM1TBworkstation
Why we recommend this ▼

The 32-core AMD Ryzen Threadripper PRO 9975WX and 6400 MHz DDR5 ECC memory provide massive parallel processing power for heavily threaded workloads. It ships without a discrete GPU, positioning it as a customizable foundation for users who need to install multiple high-end graphics cards for AI or rendering. This tower is best for engineers and researchers building a multi-GPU compute node for machine learning or complex 3D simulations.

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MSI PRO DP400 AI 2NVV-023US Black 2026

34 Compact & SFF Score
Intel Core Ultra 764GB RAM2TBNVIDIA GeForce RTX 5080full-tower
Why we recommend this ▼

Equipped with an RTX 5080 16GB graphics card and Intel Core Ultra 7 265F, this full-tower desktop delivers VR-ready performance with 64GB DDR5 and a 2TB NVMe SSD. Its Thunderbolt connectivity and Wi-Fi 6E support high-speed data transfers and low-latency peripherals, complementing a chassis built for expansion. This system is best for 3D artists and AI developers who require large VRAM and memory for real-time rendering and model training.

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