aiDAPTIV TM

Faster Inference and Larger LLM Training, Done Privately On-Prem

Technical Resources 

A benchmark only means something if you can see how it was made

Every published result identifies the workload, system, runtime, comparison, and limits.

What to show
Includes
Workload
Model, precision, prompt or dataset, task
System
CPU/GPU, unified-memory or discrete-memory architecture, operating system, cache memory configuration
Runtime
Version, quantization, relevant settings
Comparison
Baseline, metric, conditions, tradeoffs, limits
What to show

Workload

Includes

Model, precision, prompt or dataset, task

What to show

System

Includes

CPU/GPU, unified-memory or discrete-memory architecture, operating system, cache memory configuration

What to show

Runtime

Includes

Version, quantization, relevant settings

What to show

Comparison

Includes

Baseline, metric, conditions, tradeoffs, limits

Whitepapers and technical guides

Beyond VRAM and DRAM: Extending and Reusing KV Cache 

Learn how Pascari aiDAPTIV™ can extend eligible KV cache retention and reuse compatible shared input across document, RAG, coding, and agent workflows.

aiDAPTIV Middleware Resources

Access current aiDAPTIVLink 2 installation guidance, environment requirements, and fine-tuning workflow resources.

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