Daniel dos Santos, Forescout’s Head of Security Research is sharing insights from a recent exercise his team conducted on AI-assisted attacks for OT and unmanaged devices. Using ChatGPT, Forescout’s research team converted an existing OT exploit developed in Python to run on Windows to demonstrate how easy it is to create an AI-assisted attack that converts the original exploit into alternative programming languages.
The research states “our goal was to convert an existing OT exploit developed in Python to run on Windows to the Go language using ChatGPT.” This would then allow it to run faster on Windows and run easily on a variety of embedded devices. Read More
The Cybersecurity and Infrastructure Security Agency (CISA) and the National Security Agency (NSA) recently released a new 31-page document outlining best practices for identity and…
Nvidia Unveils Digits, $3,000 Personal AI Supercomputer
NVIDIA has officially launched Project DIGITS, a groundbreaking personal AI supercomputer priced at $3,000.
Aimed at AI researchers, data scientists, and students globally, Project DIGITS leverages the cutting-edge NVIDIA Grace Blackwell platform to bring unparalleled computing power to users’ desktops.
Unmatched Performance with the GB10 Superchip
At the heart of Project DIGITS is the new NVIDIA GB10 Grace Blackwell Superchip, engineered to deliver an astounding 1 petaflop of AI computing performance at FP4 precision.
Specification
Details
Product Name
NVIDIA Project DIGITS
Price
$3,000
Superchip
NVIDIA GB10 Grace Blackwell Superchip
AI Performance
Up to 1 petaflop at FP4 precision
GPU
NVIDIA Blackwell GPU
CUDA Cores
Latest-generation CUDA cores
Tensor Cores
Fifth-generation Tensor Cores
CPU
NVIDIA Grace CPU with 20 power-efficient cores
Memory
128GB of unified, coherent memory
Storage
Up to 4TB NVMe storage
Model Capacity
Can run 200-billion-parameter large language models
Networking
NVIDIA ConnectX for linking supercomputers
Increased Model Capacity
Links with another Project DIGITS for 405-billion-parameter models
Operating System
Linux-based NVIDIA DGX OS
AI Software Access
Extensive library including SDKs, orchestration tools, and frameworks (NVIDIA NGC catalog)
Cloud Compatibility
Seamless deployment on NVIDIA DGX Cloud
Availability Date
May 2025
This system-on-a-chip (SoC) integrates a high-performance NVIDIA Blackwell GPU, which features the latest CUDA cores and fifth-generation Tensor Cores, connected through the NVLink-C2C chip-to-chip interconnect.
This innovative architecture is complemented by a powerful Grace CPU with 20 energy-efficient cores, designed in collaboration with MediaTek, a leader in Arm-based SoC designs.
Jensen Huang, founder and CEO of NVIDIA, emphasized the significance of this technology, stating, “AI will be mainstream in every application for every industry. With Project DIGITS, the Grace Blackwell Superchip comes to millions of developers.”
The project aims to empower data scientists, AI researchers, and students by placing a supercomputer directly on their desks, enabling them to prototype, fine-tune, and deploy large AI models with unprecedented ease.
Scalable AI Solutions at Your Fingertips
With Project DIGITS, users can execute inference on their models locally and then transition seamlessly to the accelerated cloud or data center infrastructure.
Each unit is equipped with 128GB of unified memory and up to 4TB of NVMe storage, allowing developers to run extensive 200-billion-parameter large language models.
Moreover, utilizing NVIDIA ConnectX networking technology, two Project DIGITS units can be linked to tackle even larger models of up to 405 billion parameters.
Project DIGITS is built on the Grace Blackwell architecture, facilitating development on local systems running the Linux-based NVIDIA DGX OS.
Once models are tested, they can seamlessly scale using NVIDIA DGX Cloud or other data center infrastructure, maintaining compatibility with the same architecture and software platform.
Developers will have access to an extensive array of NVIDIA AI software, including SDKs, orchestration tools, and frameworks from the NVIDIA NGC catalog.
Notable tools such as the NVIDIA NeMo framework for model fine-tuning and NVIDIA RAPIDS libraries for data science acceleration will be available. Additionally, users can explore NVIDIA Blueprints and microservices for AI application development.
Project DIGITS is set to launch in May 2025, with pre-orders starting at $3,000. Aspirant developers and researchers can sign up for notifications and be among the first to experience the future of AI computing.
As NVIDIA propels us into the next era of innovation, Project DIGITS stands poised to democratize access to advanced AI technologies.
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