The Dell Pro Max with GB10 blurs the line between AI workstations and mini-PCs
Love it or hate it, but AI is progressively creeping into our everyday lives. From image generation and voice assistants to chatbots and creative tools, AI is now being used across a wide range of consumer applications. With the majority of today’s powerful AI tools running in large cloud data centers, smaller AI models are now capable of running on a single GPU. What that means is that instead of relying on tech giants like OpenAI, Google, or Anthropic, one can run AI locally.
With that said, most “AI PCs” today aren’t built for serious AI work since they usually have limited RAM and weak integrated graphics that struggle with demanding AI models. Even high-end gaming GPUs have their limits. Nvidia’s RTX 5090, which currently costs over Rs 4 lakhs, offers massive compute power and can handle smaller and medium-sized AI models with ease. However, it still comes with just 32GB of VRAM, which can be quickly exhausted by large language models, especially as context sizes grow and conversations become longer. Once the memory fills up, performance drops sharply, making it difficult to run cutting-edge models locally despite the GPU’s raw power.
To bridge the gap between datacenter class AI accelerators and end consumer devices, Nvidia launched the DGX Spark mini-workstation last year. Powered by the GB10 Grace Blackwell superchip, this powerful mini-PC is designed to bring serious machine-learning performance out of the data center and onto your desk, allowing developers, researchers, and data scientists to prototype, fine-tune, and run inference on large AI models locally. Nvidia has additionally opened the DGX Spark platform to a variety of OEMs to produce their own GB10 powered PCs with the option of tweaking the design, power, cooling, storage, and software.
One such example is the Dell Pro Max, which is built around the same core idea, but Dell has applied its own design language and made a few structural changes.
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Who is it for?
As per Dell, their GB10-powered mini-PC isn’t just a workstation but an AI accelerator that can sit on your desk. It is well suited for academic researchers and startups that need serious AI computation without the delays or overhead of a shared infrastructure. Researchers can benefit from running and adapting large models such as Llama 3.3 70B directly on their desktops, removing long wait times for cluster access and speeding up experimentation cycles.
The system is also suitable for startups as it offers flexibility to infer, fine-tune, prototype, and validate models locally, all while avoiding the complexity and unpredictable costs of cloud or distributed setups. Its unified memory design helps keep workflows simple, allowing small teams to access compute resources that were previously limited to large, well-funded enterprises.
Additionally, it should appeal to regulated industries and individual creators who need control, security, and independence. For sectors like banking and healthcare, the Dell Pro Max can enable advanced AI workloads to run entirely on-premises, helping protect sensitive data while delivering performance comparable to cloud-based solutions. At the same time, individual developers, creators, and entrepreneurs gain access to data-center-class AI capabilities from a desktop system. This makes it possible to fine-tune vision models, build custom AI characters, or develop new tools without relying on external infrastructure.
Design
The Dell Pro Max is built in a small, mini PC form factor measuring roughly 150×150×50 mm. It comes in a dark grey finish with ventilated honeycomb metal panels at the front and back. There is a removable bottom panel that gives access to a user-replaceable M.2 SSD, with the option of up to 2TB of storage. If we look at the I/O layout at the back, it is strikingly similar to Nvidia’s DGX Spark. It includes an HDMI 2.1b port, along with four USB Type-C ports, one of which is dedicated for power while the rest offer USB Gen 2×2 (20Gbps) speeds with DisplayPort Alt mode.
Despite its compact size, it also integrates advanced networking with 10-gigabit Ethernet and Wi-Fi 7. Additionally, thanks to the dual 200Gbps QSFP ConnectX-7 NICs ports, one can stack two Dell Pro Max systems turning them into a single node with double the performance throughput. This aspect allows enterprises to scale performance, memory, and flexibility, rather than making a single system faster.
What’s inside?
At the heart of the Dell Pro Max is the GB10 superchip, which combines a MediaTek 20-core Arm CPU with a Blackwell GPU, linked via a high-bandwidth NVLink-C2C interconnect. The system uses a unified 128GB of LPDDR5X with a 273GB/s raw bandwidth shared across the SoC, allowing large AI models to run locally without relying on dedicated GPU VRAM.
On paper, the GB10 GPU’s 6,144 Blackwell CUDA cores is comparable to a desktop-class RTX 5070, however, the 5070 comes with 12GB of GDDR7 memory with 672GB/s of dedicated bandwidth. Backed by 5th-generation Tensor cores, Nvidia claims up to 1,000 TOPS of FP4 performance and support for up to 200 billion-parameter models on the GB10 for sparse workloads, positioning it squarely towards efficient local inference, model tuning, and deployment rather than traditional gaming-style GPU workloads.
The cooling system includes a dual-fan setup along with a dense heatsink. It doesn’t get super loud, but you can hear the fans under extreme loads. Removing the magnetically attached panel at the bottom reveals the Wi-Fi Antenna with a bunch of system information. To get access to the SSD the entire bottom needs to be removed after undoing four standard Philips-head screws.
Software and compatibility
The Dell Pro Max comes preloaded with DGX OS, a customized Ubuntu environment meant for AI development and CUDA-based tooling. It comes with pre-installed tools like CUDA, JupyterLab, Docker and AI Workbench, offering a polished ecosystem out of the box. However, it does not run Windows, and the OS environment remains a Linux-centric platform designed for compute tasks rather than general desktop use.
The UI is pretty straightforward with a desktop-style environment with a dedicated app store and a link to Nvidia’s DGX Spark platform that offers quick access to various developer tools like VS Code, Comfy UI, Pytorch, vLLM and more.
Just for pure fun, we loaded up and ran Cyberpunk 2077 on the system and managed to get around 60 FPS at 1080p with DLSS set to Quality. Even Counter Strike 2 worked perfectly well with over 100 FPS at 1080p Medium settings. With that said, the Dell Pro Max is not meant for gaming, especially at the asking price.
Final words
The Dell Pro Max with GB10 is a genuinely unique machine that doesn’t really fit into any existing PC category. It isn’t a traditional workstation, a gaming PC, or a typical AI PC. Instead, it’s a desk-side AI accelerator designed specifically for running, tuning, and deploying large models locally, something most consumer hardware still struggles to do effectively.
At a starting price of Rs. 3,99,000, its actual value lies in its unified memory architecture, Blackwell-class AI compute, and enterprise-grade connectivity, which together enable workflows that would otherwise require expensive cloud infrastructure or access to shared clusters.
That said, this is a platform that demands deeper analysis. A thorough evaluation of its real-world AI performance, power efficiency, thermal behavior, and scaling potential requires specialized tools, repeatable benchmarks, and extended testing time. We’ll be revisiting the Dell Pro Max with GB10 for a full, in-depth review once we have everything needed to test it thoroughly. For now, it stands as one of the most interesting attempts yet to bring data center–class AI capability to the desktop.
