Tag: Nvidia DGX Spark

  • Nvidia DGX Spark with GB10 and 128GB LPDDR5X Price Increase

    Nvidia DGX Spark with GB10 and 128GB LPDDR5X Price Increase

    Key Takeaways

    1. The Nvidia DGX Spark features the GB10 “Grace Blackwell” chip, designed for high LLM performance with power efficiency.
    2. The GB10 chip includes a 20-core ARM CPU, 128 GB of LPDDR5X memory, and a powerful GPU with 6,144 CUDA cores, achieving 1 petaflop of computing power.
    3. The initial MSRP of the DGX Spark is $3,999, but it will increase by $700 to $4,699 due to rising costs of DRAM and storage.
    4. Ongoing supply chain issues are causing price increases for essential components, leading to a tight GPU supply for the next quarters.
    5. For budget-conscious consumers, alternatives like the AMD Strix Halo-powered systems, such as the GMKtec Evo-X2, offer a more affordable option at $2,700.

    The Nvidia DGX Spark is a compact workstation that boasts the powerful GB10 “Grace Blackwell” chip, which is designed to deliver impressive LLM performance while maintaining power efficiency—at least by today’s standards.

    Specifications Breakdown

    The GB10 chip, referred to as a “Superchip” by Nvidia, features a 20-core ARM CPU (10 Cortex X925 and 10 Cortex A725) combined with 128 GB of LPDDR5X memory on a 256-bit bus. Additionally, it includes a Blackwell-based GPU equipped with 4th-gen RT cores and 5th-gen Tensor cores, totaling 6,144 CUDA cores. Nvidia claims it can achieve an astonishing 1 petaflop of computing power at FP4 precision (sparse).

    Price Increase Announcement

    Clearly, this mini PC workstation is not a budget-friendly option, having launched with a manufacturer’s suggested retail price (MSRP) of $3,999. Recently, Nvidia disclosed that the price will rise by $700, making the new MSRP $4,699. The company attributes this significant price hike to soaring costs of DRAM and storage, which isn’t really surprising.

    Market Impact

    The ongoing supply chain issues have resulted in substantial increases in prices for essential components, compelling numerous consumer tech leaders to raise their prices. Nvidia has indicated that GPU supply will remain “tight” for the upcoming quarters, leaving uncertainty about the future.

    For those on a tighter budget, AMD Strix Halo-powered systems could serve as a viable, more affordable option for running LLMs locally and for gaming. One such alternative is the GMKtec Evo-X2, which is presently priced at $2,700 on Amazon. This system is equipped with 128 GB of memory and a 2 TB SSD.

    Source:
    Link

     

    Tags: , ,
  • AMD Ryzen AI Halo: 16 Cores & Radeon 8060S in Mini PC

    AMD Ryzen AI Halo: 16 Cores & Radeon 8060S in Mini PC

    Key Takeaways

    1. AMD’s Ryzen AI Halo mini workstation rivals Nvidia’s DGX Spark, featuring the Ryzen AI Max+ 395 chip.
    2. The Ryzen AI Max+ 395 has 16 processor cores, boosts up to 5.1 GHz, and includes the Radeon 8060S with 40 compute units.
    3. It can run demanding games smoothly at 1080p and is designed for AI developers with support for up to 128 GB of RAM.
    4. The system can handle models with up to 200 billion parameters and is compatible with both Windows 11 and Linux.
    5. The Ryzen AI Halo is expected to launch between April and June 2026, with no pricing details available yet.

    AMD is revealing a new rival to Nvidia’s DGX Spark AI mini workstation at CES. Nvidia combines an ARM processor and 20 CPU cores with a graphics chip that achieves an AI performance of 1,000 TOPS, whereas AMD’s Ryzen AI Halo features the Ryzen AI Max+ 395.

    Chip Specifications

    This chip consists of 16 processor cores that can boost their clock speeds to a maximum of 5.1 GHz and includes the integrated Radeon 8060S with 40 compute units. It provides enough power to run games like Assassin’s Creed Shadows, The Elder Scrolls IV: Oblivion Remastered, and Cyberpunk 2077 smoothly at 1080p resolution with high to maximum detail settings. Yet, this mini-PC primarily targets AI developers, who will gain from the ability of both the processor and the graphics chip to access up to 128 GB of RAM.

    Performance Capabilities

    With this setup, it should be possible to run models with as much as 200 billion parameters locally. The AMD Ryzen AI Halo is compatible with both Windows 11 and Linux systems. To cool the Strix Halo chip, which can draw over 180 watts of power when under heavy load, AMD uses two fans and a large heatsink. There are also discreet ventilation openings spread across the majority of the casing, which displays two AMD logos. A small LED strip provides a nice accent to the overall appearance.

    Release Timeline

    The AMD Ryzen AI Halo is projected to be released in the second quarter of 2026, somewhere between April and June. AMD has yet to share any pricing information. For reference, the GMKtec EVO-X2, which is built on the same Ryzen AI Max+ 395, retails for $1,840, including 64 GB of RAM on Amazon.

    Source:
    Link

     

    Tags: , ,
  • Nvidia Recommends DLSS 4 for Cyberpunk 2077 on DGX Spark AI Supercomputer

    Nvidia Recommends DLSS 4 for Cyberpunk 2077 on DGX Spark AI Supercomputer

    Key Takeaways

    1. Nvidia launched the DGX Spark, an AI supercomputer priced at $4,409, available in two versions: Founders Edition and EdgeXpert AI.
    2. The DGX Spark features a 20-core CPU and a GPU based on Blackwell architecture, claiming a theoretical performance of one petaFLOP.
    3. Users have tested gaming on the DGX Spark, with mixed results; it can emulate older consoles but struggles with demanding games like Cyberpunk 2077.
    4. A Reddit user reported achieving around 50 FPS while playing Cyberpunk 2077 at medium settings on the DGX Spark.
    5. Nvidia released a guide to improve gaming performance, recommending DLSS and Multi Frame Generation, which can artificially boost frame rates to over 175 FPS at 1080p.

    Over a month ago, Nvidia introduced the DGX Spark, which operates on a variant of Ubuntu. The DGX Spark comes in two versions: the Founders Edition, currently priced at $4,409 on Amazon, and an alternative offered by partners like MSI, which sells it as the EdgeXpert AI.

    Nvidia’s Claim

    Nvidia promotes the DGX Spark as an “AI supercomputer on your desk,” boasting a theoretical performance of one petaFLOP. This impressive capability stems from its 20-core CPU and a GPU based on Blackwell architecture. However, some users, including YouTuber ETA Prime, have been trying to run games on this ARM-based mini-PC.

    Gaming Performance

    ETA Prime initially demonstrated the DGX Spark’s ability to emulate PlayStation 3 and Xbox games, which are typically out of reach for many modern mini-PCs and handheld consoles. Later, a Reddit user shared that they were able to get Cyberpunk 2077 running on the DGX Spark, though the performance left much to be desired. User u/Retrotom reported achieving around ~50 FPS while playing Cyberpunk 2077 at medium graphics settings.

    Nvidia’s Response

    With the growing interest in gaming on the DGX Spark, Nvidia has released a brief guide aimed at enhancing gaming performance. The main advice suggests enabling DLSS along with Multi Frame Generation (MFG). Reportedly, this can increase performance to over 175 FPS at 1080p with high settings and Ultra Ray Tracing enabled. It’s important to note that this frame rate is artificial and does not accurately reflect the DGX Spark’s real-world capabilities.

    Reddit via VideoCardz

    Source:
    Link

    Nvidia Recommends DLSS 4 for Cyberpunk 2077 on DGX Spark AI Supercomputer

     

    Tags: , ,
  • MSI EdgeXpert AI Mini-PC: Top Performance in PS3 and Xbox Emulation

    MSI EdgeXpert AI Mini-PC: Top Performance in PS3 and Xbox Emulation

    Key Takeaways

    1. The Nvidia DGX Spark features a 20-core ARM CPU, Blackwell architecture GPU, and 128 GB of LPDDR5X RAM, priced at $4,539.
    2. MSI’s EdgeXpert AI model is available for $2,999 and showcases both AI and gaming capabilities on the DGX Spark platform.
    3. All DGX Spark systems theoretically match the processing power of the GeForce RTX 5070, enhanced by 128 GB system memory.
    4. The MSI EdgeXpert AI successfully emulates PlayStation 3 games at around 60 FPS at 1080p, demonstrating its gaming potential.
    5. While primarily designed for AI applications, the DGX Spark platform also effectively handles gaming tasks.

    The Nvidia DGX Spark was launched nearly a month ago, featuring a 20-core ARM CPU, a Blackwell architecture GPU, and 128 GB of LPDDR5X RAM, among other specs. The Founders Edition is currently priced at $4,539 on Amazon and has been available since mid-October, but other manufacturers like MSI took some time to release their versions.

    MSI’s EdgeXpert AI

    Recently, ETA Prime managed to get his hands on MSI’s model, which is marketed as the EdgeXpert AI for a price of $2,999. Although it’s aimed at AI applications, the YouTuber also showcased its gaming capabilities on the Nvidia DGX Spark platform. In theory, all DGX Spark systems have the same processing power as the GeForce RTX 5070, with the added advantage of 128 GB system memory.

    Gaming Performance

    In the video below, the MSI EdgeXpert AI demonstrates smooth emulation of PlayStation 3 games like Skate 3 via RPCS3. With an average of about 60 FPS at 1080p, it’s apparent that the DGX Spark platform has potential for higher resolution emulation. Likewise, Xbox games can be run using Xemu, with ETA Prime successfully playing Forza Motorsport at the same resolution. Although Nvidia’s primary goal for the DGX Spark wasn’t gaming, this AI workstation still shows it can handle gaming tasks effectively even just after its launch.

    Source:
    Link

     

    Tags: , ,
  • xFusion FusionXSpark AI Mini-PC with Nvidia GB10 SoC Launch

    xFusion FusionXSpark AI Mini-PC with Nvidia GB10 SoC Launch

    Key Takeaways

    1. Nvidia DGX Spark has prompted OEMs like Dell, MSI, and xFusion to reveal new products, including the xFusion FusionXSpark.
    2. The FusionXSpark features a compact design with dimensions of 150 mm x 150 mm x 50 mm and weighs 1.2 kg.
    3. It is powered by the Nvidia GB10 SoC, featuring a 20-core CPU, a GPU with 6,144 CUDA cores, 128 GB RAM, and storage options from 1 TB to 4 TB.
    4. Customization options include personalized signatures and ambient lighting, but software support is limited to Nvidia’s DGX OS.
    5. Pricing for the FusionXSpark is not disclosed, but it is expected to be similar to Nvidia’s DGX Spark model, which costs around $4,000.

    With the release of Nvidia DGX Spark, numerous original equipment manufacturers (OEMs) have begun to showcase their offerings. Major companies like Dell and MSI have already unveiled their products, and now smaller brands, such as xFusion, are joining in. The xFusion FusionXSpark features the same design as other DGX Spark systems, boasting a chassis size of 150 mm x 150 mm x 50 mm and weighing in at 1.2 kg.

    Specifications and Performance

    In terms of specifications, it runs on the Nvidia GB10 SoC, which has a 20-core CPU and a GPU equipped with 6,144 CUDA cores. The RAM is set at 128 GB, while storage options vary from 1 TB to 4 TB. The I/O options include a 10 Gb/s Ethernet connection, four USB-C 4.0 ports, an Nvidia ConnectX port for linking multiple FusionXSpark units, and an HDMI 2.1a port.

    Customization Features

    What sets the FusionXSpark apart from its competitors are the customization choices available to users. Customers can personalize their units with a unique signature and ambient lighting, enhancing the aesthetic appeal of their AI machine. However, the software aspect is not as flexible, with operating system support limited to Nvidia’s DGX OS.

    xFusion has not disclosed the exact price for the FusionXSpark, and interested buyers will need to reach out to their sales team for that information. Nvidia’s DGX Spark model is priced at approximately $4,000, so it’s reasonable to expect that the pricing for similar models will be in the same ballpark.

    xFusion FusionXSpark AI Mini-PC with Nvidia GB10 SoC Launch

     

    Tags: ,
  • MSI EdgeXpert AI Mini PC on Nvidia DGX Spark from $2,999

    MSI EdgeXpert AI Mini PC on Nvidia DGX Spark from $2,999

    Key Takeaways

    1. MSI has launched the EdgeXpert MS-C931 model, but availability was delayed due to production issues at Nvidia.
    2. The new 99SUS 1 TB model is priced at $2,999 and features a GB10 superchip with a Blackwell GPU and a Grace CPU.
    3. Connectivity options include 4 USB-C 3.2 ports, HDMI 2.1a output, a 10 GbE NIC, and Wi-Fi 7 with BT 5.3.
    4. The mini PCs run on Nvidia DGX OS and support major AI frameworks, allowing for easy integration with popular AI models.
    5. Users can link two units for enhanced performance of up to 2 PetaFLOPs, 256 GB of memory, and 8 TB of storage.

    Back in May, several big Original Equipment Manufacturers (OEMs) announced they would soon launch their tiny AI supercomputers based on Nvidia’s DGX Spark Grace Blackwell platform. Among these companies was MSI, which introduced its EdgeXpert MS-C931 model. However, the availability of these high-performance mini PCs got delayed for several months due to reported production issues at Nvidia. The good news is that Nvidia began shipping its versions a few weeks ago, allowing OEM partners to catch up. MSI is showcasing the EdgeXpert mini PCs, with prices starting at $2,999, though it seems like the product codes and case designs have changed since then. The original MS-C931 still has a product page but is not for sale. Instead, MSI now has a 99SUS 1 TB base model priced at $2,999, along with pricier options like the 11SUS 4 TB and 01SKUS X2 8 TB.

    Specifications of the New Model

    The specifications for the 99SUS 1 TB are very similar to the earlier MS-C931, with the exception that the Bluetooth version was downgraded from 5.4 to 5.3. This model features the GB10 superchip alongside a Blackwell GPU, which can handle 1 PetaFLOP of FP4 AI tasks, as well as a Grace CPU that has 10 ARM Cortex-X925 cores and another 10 ARM Cortex-A725 cores. Complementing the superchip is 128 GB of LPDDR5X unified system memory, boasting a bandwidth of 273 GB/s. Both the CPU and GPU can access this LPDDR5X RAM through an NVLink C2C interconnect that provides 5 times the PCIe 5.0 bandwidth. Regarding storage, MSI offers NVMe SSD options of either 1 TB or 4 TB. The physical dimensions of the case are 151 x 151 x 52 mm (1.19 liters in volume), and it weighs in at 1.2 kg.

    Connectivity Options

    For connections, the unit provides 4 USB-C 3.2 20 Gbps ports with Power Delivery support, an HDMI 2.1a video output that includes multichannel audio, a 10 GbE NIC, and 2 Nvidia ConnectX-7 ports. Wireless connectivity is provided by a Wi-Fi 7 + BT 5.3 card, ensuring users stay connected.

    On the software front, these mini PCs run on Nvidia DGX OS (based on Ubuntu), which comes with the complete Nvidia AI software ecosystem, including frameworks, SDKs, NIMs, and deployment blueprints. Developers can quickly access CUDA, PyTorch, TensorFlow, and Jupyter, with performance enhanced by Nvidia TensorRT. The system is crafted for straightforward integration with top AI models like DeepSeek R1, Llama 3.1, and major Google/Meta frameworks.

    Performance Enhancements

    To double the performance, users can link two of these units using the ConnectX-7 ports, allowing for up to 2 PetaFLOPs of AI performance, 256 GB of unified memory, and 8 TB of storage.

    MSI designed the EdgeXpert AI mini PCs with a precise dual-fan cooling system, featuring ultrawide fins and a sophisticated heat-pipe layout that lets users manage fan speeds and airflow to keep the system quiet, even during heavy workloads.

    It appears that initial stock was limited since these units are currently out of stock on the MSI website, but restocks are expected regularly as Nvidia slowly releases more DGX Spark kits to its OEM partners. Interested customers can sign up for email alerts when the products are back in stock.

     

    MSI EdgeXpert AI Mini PC on Nvidia DGX Spark from $2,999MSI EdgeXpert AI Mini PC on Nvidia DGX Spark from $2,999MSI EdgeXpert AI Mini PC on Nvidia DGX Spark from $2,999

     

    Tags: ,
  • Nvidia DGX Spark: Compact Desktop for 1 Petaflop AI Training

    Nvidia DGX Spark: Compact Desktop for 1 Petaflop AI Training

    Key Takeaways

    1. The Nvidia DGX Spark features a powerful 20-core Arm CPU, 128 GB of LPDDR5x RAM, and 4 TB of NVMe M2 storage, achieving up to one petaflop of Tensor core performance while consuming only 240 watts of power.

    2. It allows AI developers to load large models entirely into memory, eliminating the need for model quantization or GPU VRAM swapping, which simplifies the prototyping and tuning process.

    3. Although not as fast as Nvidia’s higher-end GPUs (RTX 5080, 5090, Pro 6000), its unified RAM offers significant advantages for AI model development.

    4. The suggested retail price of the DGX Spark is $3,999.99.

    5. The DGX Spark will be widely available starting on October 15, 2025, and has been seen at Microcenter but is not yet available on the Nvidia store on Amazon.

    Nvidia has kicked off the delivery of its new DGX Spark, a compact desktop made for AI model creation.

    Specs and Performance

    This small desktop packs a punch with a 20-core Arm CPU, which includes 10 Cortex-X925 performance cores and 10 Cortex-A725 efficiency cores. It also comes with 128 GB of LPDDR5x RAM and a whopping 4 TB of NVMe M2 storage, allowing it to achieve up to one petaflop of Tensor core performance (FP4 thanks to the sparsity feature) while consuming only 240 watts of power.

    Comparison to Other GPUs

    While the DGX Spark isn’t as quick as Nvidia’s RTX 5080, 5090, or Pro 6000 GPU cards according to LMSys benchmarks, it shines with its unified RAM. This enables AI developers to load large AI models entirely into memory without needing to do model quantization or GPU VRAM swapping. This feature makes it easier to prototype and tune AI models locally and offline.

    Availability and Pricing

    The Nvidia DGX Spark has a suggested retail price of $3,999.99 and is set to be widely available beginning on October 15, 2025. It has been spotted at Microcenter, but it has yet to show up on the Nvidia store on Amazon.

    Source:
    Link

    Nvidia DGX Spark: Compact Desktop for 1 Petaflop AI TrainingNvidia DGX Spark: Compact Desktop for 1 Petaflop AI Training

     

    Tags: ,