Apple Mac Studio vs NVIDIA GB10: Which Makes More Sense for AI Agents Running 24/7?

For an AI agent that runs around the clock, the electricity bill barely separates them. An Apple Mac Studio and an NVIDIA GB10 machine such as the DGX Spark or ASUS Ascent GX10 cost roughly S$100–200 a year to run at a typical agent duty cycle on Singapore's tariff. What does separate them is how they behave as unattended servers and which agent software they run well. GB10 machines run Linux with the full CUDA stack and are easy to manage remotely and to serve many requests at once. The Mac Studio idles at under 10 W, offers far more memory and bandwidth, and runs single-user agents fast, but macOS needs more setup to run unattended, and its multi-user serving tools are newer.

What does running 24/7 cost in electricity?

Source: Apple Support 102027 (21 Sep 2026) for Mac idle figures; Apple Machine Learning Research (15 Oct 2026) for the M5 Ultra inference peak; ServeTheHome (Oct 2025) and Tom's Hardware (Feb 2026) for GB10; SP Group household tariff for Q4 2026, 31.16¢/kWh including GST. Annual costs are our calculation for continuous running. The active figures are not like-for-like: Apple's is a peak at long context, NVIDIA's a typical inference range. Dell's GB10 model idled at 35–37 W in Tom's test.

The gap at a realistic duty cycle is about S$80 a year in the GB10's favour, using Apple's peak figure. Real Mac inference often draws less: Jeff Geerling's four-Mac M3 Ultra cluster ran models at under 250 W in total (Dec 2025, previous generation). Either way, power is a small part of the cost of ownership compared with the hardware itself. Our hidden costs guide covers the rest.

Which is easier to run unattended?

This is where the platforms differ most.

GB10 machines ship with NVIDIA's DGX OS, based on Ubuntu Linux. Remote management over SSH, systemd services, Docker containers with GPU access and unattended updates are standard Linux practice, so most IT teams already know how to keep one running.

Mac Studio can be set up as a server, but there are known catches:

• Power cuts. "Start up when power is connected" automatically restarts the Mac after an outage, but needs macOS 26.5 or later. The M5 models qualify (Apple Support 125517).
• Encrypted disks. With FileVault on, the Mac waits for an unlock after a reboot. Unlocking over SSH is possible, but there's no supported automatic network unlock (Apple Developer Forums, Jun 2026). Turning FileVault off removes the problem but weakens security for a machine holding company data.
• Updates. Jeff Geerling found that macOS updates on his Mac cluster couldn't be run over SSH and needed the graphical interface (Dec 2025).
• Sleep. Apple's own clustering guidance says to disable idle sleep, because Thunderbolt doesn't support Wake-on-LAN.

None of these stops a Mac from running for months. MacStories reported running a DeepSeek and olmOCR agent app "24/7, for 99 days" on a Mac (Sep 2026). Our guide to trusting an AI agent with a desktop covers the security side.

For a 24/7 agent, power costs are a rounding error. The real question is whether your IT team would rather look after a Linux server or a Mac.

Which runs agent software better?

Agents are usually a framework calling a model through an OpenAI-compatible API, so both platforms can host the same agent code. The difference is the model server underneath.

• GB10: runs vLLM, SGLang, TensorRT-LLM, llama.cpp and Ollama with CUDA, plus NVIDIA's ready-made playbooks, including a multi-agent chatbot that uses gpt-oss-120b as the supervisor. Serving many requests at once is mature: StorageReview measured gpt-oss-120b on Dell's GB10 in vLLM rising from 69 to 671 total tokens per second as concurrent requests grew to 64 (Mar 2026).
• Mac Studio: runs MLX, llama.cpp, LM Studio (with a headless llmster daemon), Ollama (MLX backend in preview) and the vllm-metal plugin released in September 2026. Single-request speed is high: gpt-oss-120b at about 110 tokens per second on an M5 Ultra, rising to about 281 total at four requests in one community oMLX run (unverified). Apple's product page also promotes tools such as Claude Agent in Xcode.

So a single agent, or a few, will often feel faster on an M5 Ultra; an agent system firing dozens of parallel requests suits a GB10's serving stack better. See our GB10 concurrency post and one Mac Studio for a whole company.

How much memory do always-on agents need?

An agent keeps its model loaded all the time, and each running task adds context cache on top. NVIDIA's multi-agent playbook uses about 120 GB of a GB10's 128 GB by default for three models. On a Mac, macOS lets the GPU use about 75% of unified memory by default, so a 128 GB machine gives about 96 GB to models and a 256 GB M5 Ultra about 192 GB. Raising that limit is possible but unsupported by Apple, and MacStories saw macOS stop a model server for memory pressure at 176.6 GB on a 256 GB M5 Ultra.

If your agents need one large model or several mid-sized ones resident at once, the Mac Studio's 256 GB and 512 GB options are the only single-box route past 128 GB. If they share one model, 128 GB on either platform is usually enough.

What about reliability, warranty and power protection?

• Warranty. Apple gives one year in Singapore; AppleCare+ for Mac runs three years (we couldn't find Apple Singapore's Mac Studio AppleCare+ price). GB10 machines carry their maker's warranty, which varies by brand; ask us for the terms of the model you choose.
• Heat and noise. Both are small, quiet desktops. Tom's Hardware measured a GB10 at 37.5 dBA at 18 inches (Jan 2026); reviewers called the M5 Ultra largely quiet, but no load noise figure is published.
• Power protection. An always-on box should sit on a UPS. The APC Back-UPS Pro 1500VA (S$886.25) covers either machine's maximum draw (385 W for the M5 Ultra, a 240 W adapter on DGX Spark), and the APC Back-UPS Pro Gaming 2200VA (S$645.00) offers more headroom (listed 8 Nov 2026).

Our AI employee on your desk guide covers what agents can do locally.

Buying in Singapore

For a Linux agent server, SourceIT lists the NVIDIA DGX Spark 4 TB at S$9,300 and the ASUS Ascent GX10 64 GB at S$6,670 or 128 GB at S$10,350 (listed 8 Nov 2026). The Mac Studio M5 Max 128 GB and M5 Ultra 256 GB are available on a price-on-request basis; on Apple Singapore's list prices the Mac Studio starts at S$3,499 (M5 Max) and S$7,999 (M5 Ultra). Prices change; ask for a current quotation. Use Request for Quotation on the product page, call (65) 6978 3502, email Sales@sourceit.com.sg or use our contact page.

Frequently asked questions

Is a Mac Studio cheaper to run 24/7 than a GB10? At idle, yes: 7–9 W against about 22–37 W. Under load, a GB10 draws less. At a typical agent duty cycle, the difference is under S$100 a year in Singapore.

Will a Mac Studio restart by itself after a power cut? Yes, with "Start up when power is connected" enabled on macOS 26.5 or later. If FileVault is on, someone has to unlock it after the restart.

Can I manage a GB10 remotely? Yes. It runs Linux-based DGX OS, so SSH, containers and standard Linux server tools work.

Which is better for many agents running at once? A GB10 with vLLM or SGLang has the more mature multi-request serving today. A Mac Studio M5 Ultra is faster for single requests and offers more memory.

Do I need a UPS for an always-on AI machine? It's strongly advisable. A 1500VA unit comfortably covers either machine's maximum draw.