Recent benchmark leaks from Geekbench have revealed that NVIDIA's first Arm-based "superchip," the GB10 Grace Blackwell, is on the verge of its market launch as reported by Notebookcheck. This processor is expected to be showcased at Computex 2025 later this month, where NVIDIA may also roll out the N1 and N1X (MediaTek confirmed in April that their CEO—Dr. Rick Tsai—will be delivering a big keynote speech at Computex 2025 trade show) alternatives tailored for desktop and laptop use. ASUS and Dell have already put the GB10 in their upcoming products while NVIDIA has also used it in its Project DIGITS AI supercomputer. The company announced this machine at CES 2025 saying it would cost around $2,999 and be ready to buy this month.

The benchmark listings show some inconsistencies, like identifying the chipset as Armv8 instead of Armv9. However, they point out that the GB10's Cortex-X925 cores can reach speeds up to 3.9 GHz. The performance results show that the GB10 can compete with high-end Arm and x86 processors in single-core metrics. Yet, Apple's M4 Max processors still leads in this area. The GB10 marks NVIDIA's move into the workstation-grade Arm processor market and could shake up the established players in the high-performance computing field.

NVIDIA and its memory partners, SK Hynix, Samsung, and Micron, are preparing a new memory form factor called System on Chip Advanced Memory Module—SOCAMM shortly. This technology, adapting to the now well-known CAMM memory module standard, aims to bring additional memory density to NVIDIA systems. Taking inspiration from NVIDIA's Project DIGITS, it has now been developed independently by NVIDIA outside of any official memory consortium like JEDEC. Utilizing a detachable module design, SOCAMM delivers superior specifications compared to existing solutions, featuring 694 I/O ports (versus LPCAMM's 644 and traditional DRAM's 260), direct LPDDR5X memory substrate integration, and a more compact form factor.

For reference, current-generation Project DIGITS is using NVIDIA GB10 Grace Blackwell Superchip capable of delivering one PetaFLOP of FP4 compute, paired with 128 GB of LPDDR5X memory. This configuration limits the size of AI models that run locally on the device, resulting in up to 200 billion parameter models running on a single Project DIGITS AI PC. Two stacked Project DIGITS PCs are needed for models like Llama 3.1 405B with 405 billion parameters. Most interestingly, memory capacity is the primary limiting factor; hence, NVIDIA devotes its time to developing a more memory-dense SOCAMM standard. Being a replacement compatible with LPDDR5, it can use the same controller silicon IP with only the SoC substrate being modified to fit the new memory. With NVIDIA rumored to enter the consumer PC market this year, we could also see an early implementation in consumer PC products, but the next-generation Project DIGITS is the primary target.

NVIDIA today unveiled NVIDIA Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform. Project DIGITS features the new NVIDIA GB10 Grace Blackwell Superchip, offering a petaflop of AI computing performance for prototyping, fine-tuning and running large AI models.

With Project DIGITS, users can develop and run inference on models using their own desktop system, then seamlessly deploy the models on accelerated cloud or data center infrastructure. "AI will be mainstream in every application for every industry. With Project DIGITS, the Grace Blackwell Superchip comes to millions of developers," said Jensen Huang, founder and CEO of NVIDIA. "Placing an AI supercomputer on the desks of every data scientist, AI researcher and student empowers them to engage and shape the age of AI."