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Nvidia's first desktop PC chip lands this month -- Asus leads with Ascend GX10 Grace Blackwell desktop platform
Actual systems based on Nvidia's GB10 Grace Blackwell platform will be launched starting July 22, according to an Asus invitation, spotted by VideoCardz, promoting the event. The company plans to re-introduce its Ascend GX10 mini-PC on the day. However, the presentation itself barely indicates
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Nvidia GB10 Grace Blackwell Desktop Chip Ascend GX10 Asus Launch Details
Nvidia is stepping into the desktop PC chip market with its new GB10 Grace Blackwell platform, aiming squarely at AI workloads. Asus is taking the lead by launching systems based on this platform starting July 22. At this launch, Asus will also bring back its Ascend GX10 mini-PC. However, the exact
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ASUS's new Ascent GX10 with GB200 Blackwell Superchip launches July 22, its new AI Mini-PC
As an Amazon Associate, we earn from qualifying purchases. TweakTown may also earn commissions from other affiliate partners at no extra cost to you. ASUS has confirmed that its new AI supercomputer, the Ascent GX10, will be launching on July 22. The new ASUS Ascent GX10 is powered by NVIDIA's new
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NVIDIA's first desktop PC chip, the GB10 Grace Blackwell, is set to debut this month. ASUS leads the launch with its Ascend GX10 mini-PC, marking NVIDIA's entry into the desktop AI market.
NVIDIA is making a significant move into the desktop PC chip market with its new GB10 Grace Blackwell platform, specifically designed for AI workloads. The company's first desktop PC chip is set to launch this month, with ASUS leading the charge by introducing systems based on this platform starting July 22
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Source: Tom's Hardware
At the heart of this innovation is NVIDIA's GB10 Superchip system-in-package (SiP). This cutting-edge chip integrates:
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.The GB10 boasts a unified memory architecture with a 256-bit memory interface supporting 128GB of LPDDR5X memory, achieving bandwidths up to 273 GB/s. This memory system is comparable to Apple's M4 Pro, highlighting its capability for handling large, memory-intensive AI models efficiently
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Source: TweakTown
ASUS is taking the lead in bringing this technology to market with its Ascend GX10 mini-PC. The system is positioned as an AI solution that delivers data center-level performance in a compact form-factor suitable for workstations and edge deployments
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.Key features of the ASUS Ascend GX10 include:
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NVIDIA is positioning the GB10 platform as an ideal solution for building and running Large Language Models (LLMs), generative AI applications, and other demanding workloads on desktop-class systems. The unified memory architecture, massive FP4 throughput, and strong single-thread performance are highlighted as key advantages over traditional CPU-GPU setups
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.The ASUS Ascend GX10 is expected to compete with systems powered by AMD's new Ryzen AI Max 300 series "Strix Halo" APUs and Apple's Mac Studio. It's anticipated to be priced similarly to NVIDIA's own DGX Spark small form-factor system, which costs around $3,000
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This launch marks NVIDIA's first serious foray into the desktop CPU business. While not a traditional x86-based processor, the Grace CPU's integration into desktop systems opens new possibilities for AI developers and researchers needing edge AI compute without relying on conventional x86 platforms
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.Other major PC manufacturers, including Dell, HP, and Lenovo, are also preparing their versions of DGX Spark systems based on the same NVIDIA platform, indicating a broader industry shift towards AI-focused desktop workstations
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.While leaked Geekbench figures suggest the GB10's general compute power is comparable to Qualcomm's Snapdragon X Elite and Apple's M3 processor, it's important to note that the chip's primary focus is on AI workloads. The true performance benefits are expected to be seen in tasks leveraging the GPU compute capabilities and unified memory architecture
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.As the launch date approaches, the tech industry eagerly anticipates the real-world performance and impact of NVIDIA's GB10 Grace Blackwell platform on the desktop AI market.
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