ROG NUC vs GR70 vs Mac Studio: Best Compact Creator PC in SG
Posted by Wei Fei on
The best compact PC for creators in Singapore comes down to one fork: NVIDIA CUDA on Windows, or Apple silicon on macOS. On the Windows side the ASUS ROG NUC with a GeForce RTX 5080 (from S$4,835) and the AMD-based ASUS ROG GR70 with an RTX 5070 (S$3,695) are three-litre machines that run every CUDA-accelerated creative and AI tool; on the Apple side the Mac Studio M4 Max (S$2,870) and Mac Studio M3 Ultra (S$5,745) trade CUDA for large unified memory and the Metal and MLX stack. The Lenovo ThinkCentre neo Ultra Gen 2 Tiny with an RTX 5060 (from S$2,735) is the budget Windows alternative. This post compares them on GPU and AI frameworks, VRAM versus unified memory, creative applications, gaming, operating system and price. The two ROG NUC generations are covered in detail in our ROG NUC 16 vs ROG NUC 15 guide; the full ASUS ladder is in the ASUS Agent Computer guide.
ROG NUC vs ROG GR70 vs Mac Studio: specification table
| ASUS ROG NUC 16 / 15 | ASUS ROG GR70 | Apple Mac Studio M4 Max | Apple Mac Studio M3 Ultra | Lenovo neo Ultra Gen 2 Tiny | |
|---|---|---|---|---|---|
| CPU | Intel Core Ultra 9 290HX Plus (NUC 16) or 275HX (NUC 15), 24 cores | AMD Ryzen 9 9955HX3D with 3D V-Cache | 14-core CPU | 28-core CPU | Intel Core Ultra 5 / 7 / 9 (desktop class) |
| GPU | GeForce RTX 5080 Laptop 16 GB GDDR7 (also 5070 Ti, 5060) | GeForce RTX 5070 Laptop 8 GB GDDR7 | 32-core GPU | 60-core GPU | GeForce RTX 5060 8 GB GDDR7 |
| Memory | 2x DDR5-6400 SODIMM up to 64 GB; 32 GB fitted | 2x DDR5-5600 SODIMM up to 96 GB; 32 GB fitted | 36 GB unified, 410 GB/s; up to 128 GB at purchase | 96 GB unified, 819 GB/s; up to 256 GB at purchase | 2x DDR5-5600 SODIMM up to 64 GB |
| Storage | Multiple M.2 2280; 1 TB or 2 TB fitted | M.2 PCIe 4.0 / 5.0; 1 TB fitted | 512 GB fixed, up to 8 TB at purchase | 1 TB fixed, up to 16 TB at purchase | Up to 4x M.2; 512 GB or 1 TB fitted |
| AI frameworks | CUDA, TensorRT, PyTorch, ComfyUI, Ollama | CUDA, TensorRT, PyTorch, ComfyUI, Ollama | Metal, MLX, Core ML, PyTorch (MPS), Ollama | Metal, MLX, Core ML, PyTorch (MPS), Ollama | CUDA, TensorRT, PyTorch, Ollama |
| Thunderbolt / USB | Thunderbolt 4; USB-A 10 Gbps | USB4 40 Gbps; 6x USB-A 10 Gbps; front USB-C 10 Gbps | 4x Thunderbolt 5; 2x front USB-C 10 Gbps; 2x USB-A | 6x Thunderbolt 5; 2x USB-A | Thunderbolt 4; front USB-C 20 Gbps; USB-A |
| Display / LAN | 2x HDMI 2.1, 2x DisplayPort; 2.5GbE; Wi-Fi 7 | 2x HDMI 2.1, 2x DisplayPort 2.1; 2.5GbE; Wi-Fi 7 | HDMI 2.1; 10GbE; up to five displays | HDMI 2.1; 10GbE; up to eight displays | HDMI 2.1 + DP 1.4b plus 3x DP 2.1b and HDMI on the GPU; GbE; Wi-Fi 6E |
| Size / weight / power | 3 L, 282 x 188 x 56.5 mm, about 3 kg | 282.4 x 187.7 x 56.6 mm, 2.75 kg; 330 W adapter | 9.5 x 19.7 x 19.7 cm, 2.74 kg | 9.5 x 19.7 x 19.7 cm, 3.64 kg | 3.6 L, 195 x 191 x 108 mm; 350 W PSU |
| OS | Windows 11 Home | Windows 11 Pro | macOS | macOS | Windows 11 Pro |
| SourceIT price | RTX 5080 from S$4,835 | S$3,695 | S$2,870 | S$5,745 | From S$2,735 |
Apple's Singapore specifications page now lists the Mac Studio with M5 Max and M5 Ultra chips; the M4 Max and M3 Ultra units SourceIT stocks are the 2025 generation, and the architectural comparison below applies to the newer chips as well.
CUDA vs Metal and MLX: which AI and creative tools need which
This is the decision to make first. The ROG NUC, ROG GR70 and neo Ultra run NVIDIA GeForce GPUs, which means the full CUDA stack: TensorRT, PyTorch with CUDA, ComfyUI and Stable Diffusion with every accelerated node, DLSS 4, and GPU acceleration in DaVinci Resolve, Premiere Pro, After Effects, Blender Cycles with OptiX and Topaz. Most open-source AI tooling is written for CUDA first and ported to other backends later, if at all. The Mac Studio runs Apple's Metal, MLX and Core ML stack. Final Cut Pro, Logic Pro, Resolve and Premiere are all Apple-silicon native, and the media engines encode and decode ProRes in hardware. For AI, MLX and llama.cpp run language models well on unified memory, PyTorch's Metal backend (MPS) covers most training and inference but not every operator, and diffusion models run without CUDA-only optimisations. If your pipeline is CUDA-dependent, the choice is a Windows machine; if it is Final Cut, Logic or MLX, it is a Mac; if it is Resolve, Blender or Premiere, both work and the next section decides.
VRAM vs unified memory: 16 GB GDDR7 against 96 GB shared
A discrete GeForce has fast dedicated memory, but only 16 GB on the RTX 5080 Laptop and 8 GB on the RTX 5070 and 5060 Laptop parts. A Mac Studio has one pool shared by CPU and GPU: 36 GB at 410 GB/s on the M4 Max we stock (configurable to 128 GB at purchase) and 96 GB at 819 GB/s on the M3 Ultra (configurable to 256 GB). For language models, a ROG NUC with the RTX 5080 handles 7B to 13B models at FP8 or INT4 with room for context and generates tokens quickly while they fit; a Mac Studio M3 Ultra with 96 GB loads a 70B model at 4-bit that no 16 GB GPU can, more slowly per token but running at all. For image generation, FLUX and SDXL fit in 16 GB and run fastest on CUDA; larger video models that exceed VRAM favour the Mac's memory. For 8K ProRes timelines and heavy After Effects compositions the Mac's unified memory and media engines are an advantage; for GPU-bound effects, noise reduction and 3D rendering the GeForce wins. If 70B-class models are the real goal, the answer is neither a 3-litre gaming PC nor a Mac Studio but the ASUS Ascent GX10 with 128 GB at 273 GB/s and the full CUDA stack; see our Ascent GX10 guide.
Gaming: the ROG machines win, the GR70 on X3D
If the compact PC also has to game, the Windows machines are the only serious option: DirectX 12, DLSS 4, anti-cheat support and the entire PC library. Between the two ASUS boxes, the ROG NUC with the RTX 5080 is the faster GPU by a clear margin and the one for 4K and high-refresh 1440p, while the ROG GR70's Ryzen 9 9955HX3D with 3D V-Cache is the CPU gamers favour for frame-rate consistency in simulation and competitive titles, paired with an RTX 5070 that is comfortable at 1440p. Both have Wi-Fi 7, 2.5GbE, dual HDMI 2.1 and dual DisplayPort; the GR70 lists support for five displays at once. The Mac Studio plays native macOS games well, but the catalogue is a fraction of Windows and there is no DLSS. The Lenovo neo Ultra with an RTX 5060 8 GB is a 1080p and light-1440p gaming machine first and a creator machine second.
Windows vs macOS, and Home vs Pro
Operating system follows the tool decision, but one detail matters for business buyers: the ROG NUC ships with Windows 11 Home, while the ROG GR70 and the Lenovo neo Ultra ship with Windows 11 Pro. A studio that joins machines to a domain, uses BitLocker management or Intune, or needs Remote Desktop into the box should factor Pro imaging into the ROG NUC, or pick the GR70, which gets Pro out of the box at S$3,695. The Mac Studio runs macOS and manages through Jamf or Intune's macOS channel; it is the right call where the studio is already Apple-based and the wrong one for a Windows-only plugin or render-farm client. The Mac Studio also has the smallest footprint here, 9.5 cm tall and 19.7 cm square, and 10 GbE on board; the ASUS machines use 2.5GbE and need a Thunderbolt or USB4 adapter for 10 GbE.
Price: what S$2,735 to S$5,745 buys
Lenovo ThinkCentre neo Ultra Gen 2 Tiny: Core Ultra 5 / RTX 5060 / 16 GB / 512 GB at S$2,735, Core Ultra 7 / 32 GB / 512 GB at S$3,455 and Core Ultra 9 / 32 GB / 1 TB at S$4,145, in a 3.6-litre chassis with a 350 W internal supply, Thunderbolt 4, up to four M.2 slots and Windows 11 Pro. Mac Studio: M4 Max 36 GB / 512 GB at S$2,870 and M3 Ultra 96 GB / 1 TB at S$5,745. ROG GR70: Ryzen 9 9955HX3D / RTX 5070 / 32 GB / 1 TB / Windows 11 Pro at S$3,695. ROG NUC: the ROG NUC 15 RTX 5080 32 GB / 2 TB at S$5,140 is the value pick, the RTX 5080 1 TB is S$4,835, the ROG NUC 16 RTX 5080 is S$5,745.80, and the RTX 5070 Ti and 5060 tiers run from S$2,925. The Mac Studio M4 Max is the cheapest machine here with 36 GB available to the GPU; the ROG NUC RTX 5080 is the cheapest with full CUDA and 16 GB of GDDR7. Prices are at time of writing; the ROG NUC collection shows live stock.
Which compact creator PC should you buy in Singapore?
Video editor on Resolve or Premiere with motion graphics and some AI: ROG NUC 15 RTX 5080 2 TB at S$5,140, for CUDA acceleration, 16 GB of VRAM and 2 TB of project space. 3D artist, Blender, Unreal or game developer: any ROG NUC RTX 5080, or the ROG GR70 if the budget stops at S$3,700 and Windows 11 Pro is required. Final Cut, Logic or an Apple-native studio: Mac Studio M4 Max at S$2,870. Local language models up to 70B, no CUDA requirement: Mac Studio M3 Ultra 96 GB. Gaming first, creation second: ROG GR70 for the X3D CPU and Windows 11 Pro, or the ROG NUC RTX 5080 for maximum GPU. Budget Windows with a GeForce for a photo or design desk: Lenovo neo Ultra Gen 2 Tiny RTX 5060 from S$2,735. AI developer who needs CUDA and more than 16 GB: read our DGX Spark vs Ascent GX10 comparison instead. A common studio pairing is a Mac Studio for the edit suite and a ROG NUC beside it for CUDA-only tools and Windows plugins.
Buying compact creator and gaming PCs in Singapore
SourceIT is an authorised ASUS reseller and stocks the full ROG NUC 15 and ROG NUC 16 range, the ROG GR70, both Mac Studio configurations and the Lenovo neo Ultra Gen 2 Tiny, with official ASUS Singapore warranty on the ASUS machines. We can supply Windows 11 Pro imaging, memory and SSD upgrades, ProArt and ROG monitors, and volume or education pricing for schools, agencies and studios. Browse the ROG NUC collection, use Request for Quotation on any product page, call (65) 6978 3502, or email Sales@sourceit.com.sg. We are GeBIZ and Vendors@Gov registered for government and institutional purchases.
Frequently asked questions
What is the best compact PC for creators in Singapore? For CUDA-based workflows, the ASUS ROG NUC with an RTX 5080 from S$4,835. For Apple-native editing suites, the Mac Studio M4 Max at S$2,870. For 70B-class local models without CUDA, the Mac Studio M3 Ultra 96 GB.
Is the Mac Studio better than the ROG NUC for video editing? For Final Cut Pro and ProRes-heavy timelines, yes, because of the hardware media engines and unified memory. For Resolve, Premiere and After Effects with GPU-heavy effects, the RTX 5080 is faster.
Can a ROG NUC run local AI models? Yes, with the full CUDA stack: 7B to 13B language models, Stable Diffusion and FLUX fit in the RTX 5080's 16 GB. For 70B models use an Ascent GX10 or a Mac Studio with 96 GB.
ROG NUC or ROG GR70? The ROG NUC for the RTX 5080 tier and Thunderbolt 4; the GR70 for the Ryzen 9 9955HX3D, up to 96 GB of memory, Windows 11 Pro and a lower S$3,695 price.
Does the Mac Studio support CUDA? No. Apple silicon uses Metal, MLX and Core ML; PyTorch runs through the MPS backend. CUDA-only tools require an NVIDIA GPU, which means a Windows machine such as the ROG NUC.
Which ships with Windows 11 Pro? The ROG GR70 and the Lenovo neo Ultra Gen 2 Tiny. The ROG NUC ships with Windows 11 Home; corporate buyers can request Windows 11 Pro imaging from SourceIT.
