Compact Desktop-AI-Supercomputer ASUS Ascent GX10
NVIDIA® GB10
Grace Blackwell Superchip
NVIDIA®
Blackwell GPU
128 GB Unified memory
NVIDIA® NVLink™-C2C
Deliver a cohesive CPU+GPU memory model with five times the bandwidth of PCIe Gen 5
NVIDIA® GB10
Grace Blackwell Superchip
NVIDIA®
Blackwell GPU
128 GB Unified memory
NVIDIA® NVLink™-C2C
Deliver a cohesive CPU+GPU memory model with five times the bandwidth of PCIe Gen 5
200B
Modell
NVIDIA®
DGX OS
NVIDIA® ConnectX®-7
Allows two GX10 systems to be linked for handling even larger models
200B
Modell
NVIDIA®
DGX OS
NVIDIA®
DGX OS
1
petaFLOP
Ultra Small Size
150 x 150 x 51mm
NVIDIA® AI Enterprise
Software Suite
1
petaFLOP
Ultra Small Size
150 x 150 x 51mm
NVIDIA® AI Enterprise
Software Suite
NVIDIA® AI Enterprise
Software Suite
Includes NVIDIA NIM™ and Blueprints.
Supports Pytorch, Jupyter, Ollama for prototyping and inference.
Optimized Cooling design
NVIDIA® AI Enterprise
Software Suite
Includes NVIDIA NIM™ and Blueprints.
Supports Pytorch, Jupyter, Ollama for prototyping and inference.
Optimized Cooling design
Extreme AI Performance
Powered by NVIDIA® GB10 Grace Blackwell Superchip delivering 1 petaFLOP of AI performance and 128GB memory for 200B model fine-tuning.
Developer-Optimized Platform
Tailored for AI researchers and developers with full-stack compatibility and streamlined workflows.
Scalable Architecture
Featuring NVIDIA® NVLink™-C2C for ultra-fast CPU-GPU memory communication and NVIDIA® ConnectX-7 networking to support dual GX10 system stacking, unlocking superior scalability and performance.
Advanced Thermal Design
Engineered cooling ensures sustained high performance and reliability in an ultra small form factor.
Minimal Footprint, Maximum Efficiency
High-density compute power in a compact system designed for labs, offices, and edge environments.
Full Stack AI Solution
The GB10 and NVIDIA AI software stack provide a full stack solution for AI development and deployment.
Key Advantages for Small Teams
Navigating the AI Revolution in Business
AI is no longer hype—it’s transforming how businesses operate, from automating tasks to generating insights. While adoption grows, challenges like ethics, privacy, and implementation remain key concerns.
The global AI market is projected to reach $407B by 2027, with 80% of enterprises adopting AI technologies by 2026.
AI adoption is surging in healthcare (41%), manufacturing (39%), and finance (35%) to boost automation and insights.
Focus Areas
Smart Manufacturing
AI City / Vehicle Field
Quickly prototype and deploy AI at the edge for low-latency, real-time processing — perfect for smart city and autonomous vehicle applications.
AI Training & Inference
Med-AI research
The GX10 accelerates AI model training and fine-tuning for complex algorithms, supports large datasets, and is compatible with leading frameworks — ideal for researchers focused on accuracy and efficiency.
Data Science
Fintech / AI Service
The GX10 accelerates real-time AI inference for applications like medical imaging, robotics, and fraud detection, making it a vital platform for Data Scientists deploying advanced, on-premise AI services.
Key Personas for AI Development
Built to explore, create and push AI beyond limits.
Expertise in AI, programming, stats and experimental design.
Powerful, responsive, portable – built for data-heavy AI work.
From prototype to production – ready for real-world integration.
Skilled in model deployment, scaling and MLOps workflows.
Built for scalable, secure and flexible ML deployment.
Creating AI-powered user experiences
Full-stack skills in software, APIs, data and AI model awareness.
Versatile, powerful and efficient – perfect for AI apps and client demos.
Positioning
Value Proposition
Validated Usage Scenarios
Real-World Applications where GX10 delivers strategic value
1. AI Model
Development
Target: Tech startups, AI labs
Value: Enables training of large language models (e.g. GPT, BERT) locally with 128GB GPU memory – accelerating iteration cycles without cloud constraints.
2. Data Analytics & Forecasting
Target: Financial services, market research teams
Value: Handles massive datasets for trend prediction, risk modeling, or customer insights – with fast compute and secure on-prem processing.
3. Real-Time Inference for Personalization
Target: E-commerce, digital platforms
Value: Supports real-time recommendation engines and behavioral inference models — delivering low-latency experiences without relying on cloud GPUs.
4. Scientific R&D & Simulation
Target: Pharma, biotech, industrial R&D
Value: Accelerates drug discovery, material simulation, and outcome prediction by enabling complex model workflows on a single high-memory workstation.
5. On-Prem AI for Smart Manufacturing
Target: Industrial automation, factory AI teams
Value: Powers plant-floor predictive maintenance, anomaly detection, or vision models — all in a compact, edge-adjacent workstation format.
Not Validated Usage Scenarios – Focus messaging on AI-heavy, high-performance, secure-local compute use cases — not on general productivity, rugged edge, or lightweight training environments.
1. General Corporate Training / Employee Upskilling
Why not: Training non-technical staff or entry-level AI learners doesn’t require 128GB GPU or 1000 AI TOPS. This is overkill and cost-inefficient compared to cloud or consumer-grade platforms.
2. Edge Computing in Harsh Industrial Environments
Why not: GX10 is not ruggedized or fanless. It’s not suitable for direct deployment in factory floor conditions or edge cabinets that demand industrial-grade specs.
3. Multi-Department Shared Infrastructure
Why not: AI workloads often require full local resources. Sharing a single GX10 across departments risks scheduling conflicts, performance drops, and unclear ownership
4. Basic Data Visualization or Business Intelligence (BI)
Why not: Tools like Tableau or Power BI don’t require GPU compute. GX10 offers far more capability than BI workloads can leverage — a mismatch in performance vs. purpose.
5. Offline Device Deployment (IoT, Embedded AI)
Why not: GX10 is not designed for battery-powered, mobile, or embedded scenarios. It’s a desktop-scale workstation, not a lightweight deployable endpoint.
A joint project between ASUS Computer GmbH and BYTESATWORK GmbH.
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