aiDAPTIV Dynamic MOE White Paper

Large language models, or LLMs, are deep neural networks that drive all things AI. It also contains broad information about anything and everything. But what if greater expertise is required for certain AI use cases? That’s where Mixture of Experts, or MoE comes into play. Learn how it works and makes LLMs smarter.

SEAMLESS INTEGRATION

  • Optimized middleware to extends GPU memory capacity
  • 2x 2TB aiDAPTIVCache to support 70B model
  • Low latency

HIGH ENDURANCE

  • Industry-leading 100 DWPD with 5-year warranty
  • SLC NAND with advanced NAND correction algorithm

aiDAPTIV+ BENEFITS

  • Transparent drop-in
  • No need to change your AI Application
  • Reuse existing HW or add nodes

aiDAPTIV+ MIDDLEWARE

  • Slice model, assign to each GPU
  • Hold pending slices on aiDAPTIVCache
  • Swap pending slices w/ finished slices on GPU

FOR SYSTEM INTEGRATORS

  • Access to ai100E SSD
  • Middleware library license

  • Full Phison support to bring up