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Powering the Future of AI

Revolutionizing AI Training, Inference, and Performance

About Us

VISCOR Computing Corporation

・VISCOR Computing Corporation specializes in the procurement, deployment, and operation of high-performance computing (HPC) infrastructure, serving the Asian market (Northeast Asia, Southeast Asia, Taiwan) and global cloud service providers (CSPs).

・In its initial phase, the company has acquired 8 NVIDIA GB200 NVL72 (GPU+ARM architecture) and several NVIDIA DGX B200 (GPU+x86 architecture) systems.

・We provide AI training, edge computing, and data processing solutions while focusing on sustainability and technological innovation.

VISCOR and NVIDIA Collaborate

Through close collaboration with NVIDIA, we deliver cutting-edge AI computing platforms for enterprises and data centers worldwide, ensuring optimal AI training performance at the best cost efficiency.

Key Innovations

Security
Local AI cloud computing with enhanced data security
Performance
High-performance AI training, enabling powerful AI applications
Stability
Low-latency and highly stable computing services from local AI infrastructure
Deployment
Flexible deployment options tailored to diverse AI workloads

Tech Specs

NVIDIA
GB200 NVL72

  1. Core Features

    • 72 high-efficiency Tensor Cores, specifically designed for large-scale AI training, enhancing computing efficiency and parallel processing
    • 80GB HBM3 memory with 2TB/s memory bandwidth, ensuring high-speed data access
    • Supports FP16, BFLOAT16, and INT8 precision, optimizing AI training and inference performance
    • Advanced thermal management technology, ensuring stable and continuous high-performance operation

  2. AI Training

    • 3× faster than H100, ideal for Large Language Models (LLMs), deep learning, and high-performance computing (HPC)
    • Supports multi-node distributed training, increasing AI training throughput and scalability
    • Optimized for generative AI, delivering enhanced computing power for intensive AI models

  3. AI Inference

    • Ultra-low latency inference, ideal for real-time AI applications
    • 2.5× faster than H100 and H200, significantly improving batch inference efficiency
    • High-performance processing for multi-layer neural network inference, supporting complex AI tasks

  4. LLM Inference

    • 30× faster than NVIDIA H100 Tensor Core GPU
    • Supports ChatGPT, BERT, LLaMA, and other AI-generation and comprehension models

  5. LLM Training

    • 4× faster than H100, drastically reducing AI training cycles
    • Designed for high-efficiency LLM training architectures, optimizing parameter tuning and computational efficiency

  6. Energy Efficiency

    • 25× energy efficiency improvement over H100, reducing AI computing power consumption
    • Optimized power management, ensuring sustainable AI data center operations

  7. Data Processing

    • 18× faster than traditional CPUs, significantly boosting data analytics and high-performance computing
    • Suitable for cloud computing, big data processing, and machine learning workloads
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Performance Metrics

AI Training Speed
AI Inference Speed
LLM Training Speed
LLM Inference Speed
Energy Efficiency Improvement
Data Processing Speed
GB200 NVL72
AI Training Speed
3× faster than H100
AI Inference Speed
2.5× faster than H100
LLM Training Speed
4× faster than H100
LLM Inference Speed
30× faster than H100
Energy Efficiency Improvement
25× better than H100
Data Processing Speed
18× faster than CPU
H100
AI Training Speed
Baseline
AI Inference Speed
Baseline
LLM Training Speed
Baseline
LLM Inference Speed
Baseline
Energy Efficiency Improvement
Baseline
Data Processing Speed
N/A
H200
AI Training Speed
1.5× faster than H100
AI Inference Speed
2× faster than H100
LLM Training Speed
N/A
LLM Inference Speed
N/A
Energy Efficiency Improvement
N/A
Data Processing Speed
N/A
AMD MI300X
AI Training Speed
2× faster than H100
AI Inference Speed
2× faster than H100
LLM Training Speed
N/A
LLM Inference Speed
N/A
Energy Efficiency Improvement
20× better than H100
Data Processing Speed
N/A
Intel Gaudi 2
AI Training Speed
2× faster than H100
AI Inference Speed
1.8× faster than H100
LLM Training Speed
N/A
LLM Inference Speed
N/A
Energy Efficiency Improvement
18× better than H100
Data Processing Speed
N/A

Use Cases

Smart Cities

AI-powered traffic monitoringViolation detection systemsUrban data analytics

Law Enforcement & Fraud Prevention

AI-based financial fraud analysisFraud analysisCrime prediction and risk assessment

Defense & Security

Drone image recognitionTactical simulationsAI-driven military decision-making

Environmental & Climate Monitoring

AI-enhanced weather forecastingCarbon emission analysisEcological monitoring

Healthcare AI

Medical imaging diagnosticsPharmaceutical researchBiomedical data analysis

Solutions & Pricing

  1. VISCOR Cluster Engine Pricing

    For project-based pricing, please contact us for a quote.

    Recommended
    VISCOR Cluster Engine integrates Kubernetes-based AI training architectures, providing efficient GPU resource management for AI cloud computing and enterprise AI infrastructure.
    Key Advantages
    • Optimized on-premises AI computing environments
    • Automated load balancing and resource management
    • Ideal for government and enterprise AI training centers
  2. Pricing in Progress. Stay Tuned
    On-Demand GPU Plan

    NT$ 4,900 / GPU Hour

    Starting Price
    Flexible GPU usage for short-term AI computation & training
    • GPU Specs: 8 × NVIDIA GB200 NVL72
    • Processors: Dual Intel 48-core CPUs
    • Total Memory: 2TB
    • Storage: 2 × 960GB NVMe SSD + 8 × 7.68TB NVMe SSD
    • GPU Connectivity: InfiniBand 400GB/s per GPU
    • Ethernet Speed: 100GB/s
    Use Cases
    • Short-term AI training & inference
    • High-performance computing (HPC)
    • AI research & development
  3. Pricing in Progress. Stay Tuned
    Reserve GPU Plan

    NT$ 3,500 / GPU Hour

    Starting Price
    Dedicated GPU resources for long-term AI training & inference.
    • GPU Specs: 8 × NVIDIA GB200 NVL72
    • Processors: Dual Intel 48-core CPUs
    • Total Memory: 2TB
    • Storage: 2 × 960GB NVMe SSD + 8 × 7.68TB NVMe SSD
    • GPU Connectivity: InfiniBand 400GB/s per GPU
    • Ethernet Speed: 100GB/s
    Use Cases
    • Continuous AI training (LLM, deep learning)
    • Enterprise AI development & applications
    • Large-scale AI monitoring & inference
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Powering the Future of AI
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Emailservice@viscor.ai
Tel.(886) 02-2228-7600
Add.Room 606, 6F, No. 6, Section 1, Gueiren 13th Road, Gueiren District, Tainan City 711, Taiwan
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