为了提供更实惠的AI系统，英伟达正在推出DGX Spark的精简版本，内存和存储容量均减半。基于GB10的系统将仅通过宏碁、华硕、戴尔、技嘉、惠普和微星等硬件合作伙伴独家发售，预计零售价约为4999美元。在英伟达于周五将其128 GB版DGX Spark的价格上调至6950美元——较去年同期上涨近75%——之后，推出性能较低的SKU变得必要。
In an effort to provide a more affordable AI system, Nvidia is introducing a cut down version of the DGX Spark with half the memory and storage. The GB10-based systems will be offered exclusively through hardware partners including Acer, Asus, Dell, Gigabyte, HP, and MSI, and are expected to retail for around $4,999. The less-powerful SKUs are necessary after Nvidia jacked the price of its 128 GB DGX Spark on Friday to $6,950 — an increase of nearly 75 percent from this time last year.
你可能已经猜到，内存价格飙升是此次大幅调价的罪魁祸首。这使得64 GB型号在持续的内存短缺背景下，价格远低于英伟达顶配的DGX Spark和GB10系统，但仍比128 GB版本上市时的零售价高出25%。自去年CES上Project Digits概念亮相以来，英伟达的GB10平台一直饱受价格攀升的困扰。最初，该设备预计零售价约为3000美元，而非最终卖到的4000美元。
As you might have already guessed, skyrocketing memory prices are to blame for the massive price adjustment. That makes the 64 GB model considerably less than Nvidia’s top-spec DGX Spark and GB10 systems given the ongoing memory shortage, but that’s still 25 percent more than the 128 GB version retailed for at launch. Nvidia’s GB10 platform has been plagued by pricing creep since the Projects Digits concept was unveiled at CES last year. Originally, the appliance was expected to retail for around $3,000, not the $4,000 it eventually ended up selling for.
即便在那个价位，DGX Spark提供的东西在几年前仍会让你花费数万美元：大量的GPU内存。事实上，在它上市时，该系统在技术上曾是英伟达售出的最高容量工作站GPU。64 GB型号则并非如此，由于其容量较小，不太适合某些AI工作负载，比如微调。但如果你主要关心的是用于驱动私有代理的本地AI推理，英伟达认为260亿至350亿参数范围内的模型——例如Qwen 3.8 27B——现在已经足够胜任。
Even at that price, the DGX Spark offered something that just a few years ago would have set you back tens of thousands of dollars: large quantities of GPU memory. In fact, at the time it launched, the system was technically the highest capacity workstation GPU Nvidia sold. That’s not really the case with the 64 GB model, which due to its smaller capacity, isn’t as well suited to certain AI workloads like fine tuning. But if your main concern is local AI inference for powering private agents, Nvidia argues models in the 26-35 billion parameter range, Qwen 3.8 27B for example, are now good enough to get the job done.
虽然新系统的内存可能更少，但我们被告知内存带宽保持不变，仍为273 GB/s，这告诉我们它们使用的是容量更低的LPDDR5x内存模块，而非减少模块数量。
While the new systems may offer less memory, we’re told the memory bandwidth remains unchanged at 273 GB/s, which tells us they’re using lower capacity LPDDR5x memory modules rather than fewer of them.
英伟达还表示，除了新的内存配置外，这些系统在其他方面没有变化，将采用与联发科相同的20核Arm处理器。这些系统还保留了其机载ConnectX-7网络，该网络支持以200 Gbps的速度集群最多4x基于GB 10的设备。为了进一步促进这一点，Nvidia表示，本月晚些时候将向DGX OS推出新的软件工具，以促进集群配置和推理部署。
Nvidia also says that beyond the new memory config, the systems are otherwise unchanged and will feature the same 20-core Arm processor from MediaTek. The systems also retain their onboard ConnectX-7 networking, which enables clustering of up to 4x GB10-based devices at 200 Gbps a piece. To further facilitate this, Nvidia says later this month it’ll be rolling out new software tools to DGX OS to facilitate cluster configurations and inference deployments.
以前，这需要在CLI中进行一些修改来设置，并对vLLM或TensorRT-LLM启动命令进行一些调整。虽然64 GB版本的较低MSRP应该会使系统在持续的内存紧缩中更容易使用，但这对于预计将于今年秋天首次亮相的Nvidia RTX Spark笔记本电脑和迷你PC来说并不是一个好兆头。这些系统基于为DGX Spark和其他基于DGX OS的系统提供动力的GB 10芯片，但旨在用于更通用的计算，例如AAA游戏、网络浏览和内容创建，而不仅仅是人工智能推理和训练工作负载。
Previously, this required some tinkering in the CLI to get set up along with some tweaks to the vLLM or TensorRT-LLM launch commands. While the 64 GB version’s lower MSRP should make the systems more accessible amid the ongoing memory crunch, it doesn’t bode well for Nvidia’s RTX Spark notebooks and mini PCs expected to make their debut this fall. These systems are based on the same GB10 silicon that powers the DGX Spark and other DGX OS-based systems, but are intended for more general purpose computing, like AAA gaming, web browsing, and content creation, not just AI inference and training workloads.
今年春末在Computex上宣布，基于RTX Spark的系统预计将相当昂贵，尤其是128 GB版本。随着DGX Spark的定价接近7，000美元，基于该芯片的类似配置RTX Spark笔记本电脑产品最终的售价可能会大幅上涨。但是，据我们了解，Nvidia将为价格敏感的PC买家提供内存容量低得多的芯片版本。然而，在DGX和RTX Spark系列中，Nvidia将面临来自AMD新推出的Gorgon Halo SoCs的一些竞争，该SoCs提供的内存容量从低端约32 GB到顶级规格Ryzen AI Max+ 495 SKU的192 GB。更重要的是，由该芯片驱动的系统目前的零售价低于Nvidia的128 GB DGX Spark。
Announced at Computex late this spring, RTX Spark-based systems were already expected to be quite expensive, particularly the 128 GB variants. With DGX Spark pricing nearing $7,000, similarly equipped RTX Spark notebook offerings based on the chip could end up selling for significantly more. But, as we understand it, Nvidia will be offering versions of the chip with much lower memory capacities for price conscious PC buyers. However, across the DGX and RTX Spark lines, Nvidia will face some competition from AMD’s newly launched Gorgon Halo SoCs, which offer memory capacities ranging from around 32 GB at the low end to 192 GB for the top-spec Ryzen AI Max+ 495 SKUs. What’s more, systems powered by that chip are currently retailing for less than Nvidia’s 128 GB DGX Spark.
不过，尽管AMD在最大容量上获胜，但应该指出的是，我们的测试一再表明GB 10的图形处理器为人工智能任务提供了更高的性能。®
But while AMD wins on max capacity, it should be noted that our testing has repeatedly shown that the GB10’s GPU offers substantially higher performance for AI tasks. ®