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Two RTX Spark configurations arrive in October with up to 128GB of memory

ByRanda MosesRanda Moses 2 mins read
Two RTX Spark configurations arrive in October with up to 128GB of memory.
  • Nvidia’s RTX Spark N1X chip launches in October in two configurations, pairing 18 or 20 CPU cores with 5,120 or 6,144 CUDA cores.
  • The 20-core configuration offers up to 128GB of unified memory, matching Nvidia’s DGX Spark; the 18-core version tops out at 32GB.
  • Acer and Lenovo showed the first RTX Spark laptops and desktops at IFA, with pricing not yet announced.

Nvidia will start selling RTX Spark systems based on its N1X chip in October. This will bring a compact AI PC to Windows users and the hardware makers that build for them.

The launch takes Nvidia’s desktop AI expansion to consumer laptops, with Acer and Lenovo already lining up machines.

Nvidia pairs up to 6,144 CUDA cores with 20 CPU cores

The N1X will be available in two versions. The higher-end version pairs a 20-core CPU with 6,144 CUDA cores and 24GB to 128GB of unified memory, while the other pairs an 18-core CPU with 5,120 CUDA cores and 24GB to 32GB of unified memory.

Unified memory means the pool is shared by the CPU and GPU. This is valuable when a machine has to load large AI models locally.

Two RTX Spark configurations arrive in October with up to 128GB of memory.
CUDA core and CPU core specs from Nvidia’s own RTX Spark product page.

Nvidia’s own product page describes the lineup as “the fusion of NVIDIA AI and RTX graphics in slim laptops and small desktops” for “creators, developers, and gamers.” The company is targeting notebooks and small desktops.

Acer and Lenovo announced new Spark systems at IFA, the Berlin electronics trade show, heralding that partner hardware will come with the chip.

GB10 Grace Blackwell chip is for developers

Last year, Nvidia brought out the DGX Spark, which it claimed was the world’s smallest AI supercomputer.

The machine is powered by the GB10 Grace Blackwell Superchip, delivers up to 1 petaflop of AI performance with 128GB of unified CPU-GPU memory, and boots up Nvidia’s Linux-based DGX OS. The DGX Spark was designed for developers.

Users can run inference on models with up to 200 billion parameters and fine-tune models up to 70 billion parameters locally with the system, Nvidia said. Two units linked together can manage models as large as 405 billion parameters, Nvidia said.

The RTX Spark, on the other hand, is made for Windows users and everyday AI-accelerated work.

The fact that both products can hold up to 128GB of memory shows that they are from the same design family but are made for different customers.

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FAQs

When does the Nvidia RTX Spark launch?

Nvidia will launch RTX Spark systems built on the N1X chip in October, for both laptops and desktops.

What are the specs of the RTX Spark N1X?

The N1X comes in two configurations. The 20-core model pairs 6,144 CUDA cores with 24GB to 128GB of unified memory, while the 18-core model pairs 5,120 CUDA cores with 24GB to 32GB of unified memory.

How is the RTX Spark different from the DGX Spark?

The DGX Spark runs Nvidia's Linux-based DGX OS and was built for developers, delivering up to 1 petaflop of AI performance, while the RTX Spark is aimed at laptops and small desktops.

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Randa Moses

Randa Moses

Randa Moses is an editor and reporter at Cryptopolitan covering tech, AI, robotics, crypto, scams, and hacks. She has worked in the crypto space since 2017. She held roles at Forward Protocol, AmaZix, and Cryptosomniac. Randa holds a degree in Electrical and Electronics Engineering from the University of Bradford.

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