NVIDIA GH200 ARM64 Platform

Purpose-built for air-gapped AI cybersecurity operations

NVIDIA GH200 Superchip

AI-Powered Capabilities

The GH200 platform enables Ember to deliver enterprise-grade AI capabilities while maintaining complete air-gapped security

Extended Context Windows

Leverage unified memory architecture for unprecedented context retention during complex investigations.

  • 131K token context window
  • 144GB unified memory architecture
  • Dynamic allocation based on workload
  • Seamless context switching

GPU-Accelerated Search

Instant semantic search across conversations, documents, and training materials.

  • BAAI/bge-large-en-v1.5 embeddings
  • pgvector integration for similarity
  • LRU cache with CUDA OOM handling
  • Sub-second query response times

VRAM Document Store

Keep your team's knowledge and training materials in GPU memory for instant access.

  • Full-text storage in HBM3
  • Document type-aware chunking
  • Automatic citation generation
  • Zero-latency retrieval

Dynamic Resource Management

Intelligent allocation of GPU resources between AI models and data storage.

  • PagedAttention optimization
  • Automatic VRAM distribution
  • Priority-based allocation
  • Real-time performance monitoring

Local AI Inference

Run the powerful Qwen3-32B model entirely on-device for complete data security.

  • OpenAI-compatible API
  • No external dependencies
  • Enterprise-grade performance
  • Full model control

Multi-Model Architecture

Concurrent operation of language and embedding models for comprehensive analysis.

  • Lazy singleton initialization
  • Shared memory optimization
  • Automatic failover handling
  • Unified token management

Detailed Specifications

Processing Architecture
CPU NVIDIA Grace CPU - 72x Arm Neoverse V2 cores
GPU NVIDIA H100 Tensor Core GPU
Architecture ARM64 (aarch64)
Interconnect NVLink-C2C @ 900 GB/s bidirectional
Memory Configuration
Total Memory 96GB or 144GB HBM3 (unified)
Memory Bandwidth 900 GB/s GPU memory bandwidth
Cache Coherent Yes - CPU and GPU share memory space
ECC Support Full ECC protection
AI Performance
FP8 Performance 3,958 TFLOPS with sparsity
FP16 Performance 1,979 TFLOPS with sparsity
Tensor Cores 4th Generation with Transformer Engine
MIG Support Multi-Instance GPU capability
Software Requirements
Operating System Ubuntu 22.04+ (ARM64)
CUDA Version 12.0 or higher
Python 3.10+
Storage 100GB+ SSD recommended
Security Features
Confidential Computing Hardware-based security
Secure Boot UEFI secure boot support
Memory Encryption Available with CC mode
Air-Gap Ready No external dependencies

Ready to Experience the Power?

Learn more about how the NVIDIA Grace Hopper Superchip enables Ember AI's capabilities

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