Question 1

What is NANDiq℠?

Accepted Answer

NANDiq℠ is an AI-powered storage intelligence platform that provides real-time NAND flash market data, enterprise storage optimization, procurement strategy, and data lake management tools for AI, ML, and LLM infrastructure teams.

Question 2

What is the best storage tier for LLM training datasets?

Accepted Answer

NVMe SSDs (such as PCIe Gen5 or Samsung PM9A3) offer the lowest latency and highest throughput for hot LLM training workloads. QLC NAND is optimal for large cold datasets, while SLC NAND serves as a high-endurance write cache. NANDiq℠'s AI Optimizer automatically recommends the ideal tier for each dataset based on access patterns and cost targets.

Question 3

How can AI infrastructure teams reduce storage costs?

Accepted Answer

NANDiq℠ identifies tier migration opportunities, unused capacity, and compression gains. Typical enterprise AI teams save 30–50% on storage costs by moving cold data from NVMe to QLC NAND, enabling compression on raw datasets, and right-sizing cloud replication policies.

Question 4

What NAND types are best for agentic AI workloads?

Accepted Answer

Agentic AI requires low-latency random reads for KV-cache and model weight serving. NVMe Gen5 SSDs with DRAM cache are preferred. For context storage and retrieval-augmented generation (RAG), a tiered approach using NVMe + QLC NAND balances cost and performance effectively.

Question 5

How does NANDiq℠ help with NAND procurement?

Accepted Answer

NANDiq℠'s procurement marketplace connects buyers and sellers of enterprise NAND components including NVMe SSDs, QLC NAND, DRAM, UFS 4.1, and PCIe Gen5 drives. The platform provides real-time spot price tracking and urgency-based sourcing to ensure supply continuity for AI data centers.

Question 6

Does NANDiq℠ offer a free trial?

Accepted Answer

Yes — all NANDiq℠ plans include a 14-day free trial with no credit card required upfront. Plans start at $299/month for the Starter tier, $999/month for Pro, and $3,500/month for Enterprise.

Question 7

What is NAND flash storage and why does it matter for AI?

Accepted Answer

NAND flash is the dominant non-volatile storage technology used in SSDs and data centers. For AI and LLM workloads, NAND storage performance directly impacts training times, inference latency, and data pipeline throughput. Selecting the right NAND type (SLC, TLC, QLC) and interface (NVMe, PCIe Gen5) is critical for cost-effective AI infrastructure.