NVIDIA N1X devices will be shipped in October, launching the open-source tool PAIR

NVIDIA announced that the RTX Spark devices equipped with the N1X chip will begin shipping in October this year. The N1X supports up to 128GB of unified memory, and the Blackwell GPU provides up to 10 petaflops of floating-point performance per second. The full version is equipped with a 6144 CUDA core Blackwell GPU and a 20-core Grace CPU, supporting 24GB to 128GB of unified memory; another version has 5120 GPU cores and 18 CPU cores, supporting only 24GB to 32GB of unified memory.

NVIDIA launched the open-source tool NVIDIA PAIR, which can connect multiple RTX devices, DGX Spark, and even Apple devices in a home network to schedule idle computing power for collaborative processing of AI agent tasks. Compatible devices include computers with NVIDIA graphics cards (RTX 20 series and later, RTX Pro GPU, DGX Spark) as well as devices with Apple M4 or newer chips. PAIR prioritizes the use of idle computing power and automatically adjusts as devices join or leave the network.

In a media briefing example, a household had approximately 165 TFLOPS of underutilized computing power. The Qianwen 3.6 35B A3B model completed agent tasks in an average of 18 minutes on a single Spark notebook, while a three-device PAIR cluster averaged 8 minutes and 48 seconds. The AI agent applications Perplexity Portable Computer, Hermes Agent, and OpenClaw will receive a more simplified local deployment method.