AI/TLDR

Qdrant · 2026-04-28 · notable

Qdrant Cloud — GPU-Accelerated Vector Indexing, Multi-AZ Clusters, and Audit Logging

Qdrant Cloud ships three enterprise features: GPU-accelerated HNSW indexing (4× faster on NVIDIA T4s), Multi-AZ replication with 99.95% uptime SLA, and structured JSON audit logging for API operations.

Qdrant vector database cloud platform

Qdrant Cloud adds GPU HNSW indexing (4× faster), Multi-AZ HA, and audit logging for enterprise RAG at scale.

Key specs

Indexing speedup4x
Uptime sla99.95%

What is it?

Qdrant is an open-source vector database with a managed cloud offering. On April 28, 2026, Qdrant Solutions announced three new enterprise-grade capabilities for Qdrant Cloud targeting production AI workloads and RAG applications.

How does it work?

GPU-accelerated indexing uses NVIDIA T4 GPUs at the cluster level to accelerate HNSW graph construction, delivering up to 4× faster index builds compared to CPU-only indexing. Multi-AZ clusters replicate data across three availability zones within a single region; if one zone fails, reads and writes automatically continue from surviving zones without manual failover. Audit logging captures every API operation — queries, inserts, deletions, and collection management — as structured JSON with timestamps and user attribution, configurable for retention and export.

Why does it matter?

As RAG applications move to production with millions of vectors and strict compliance requirements, indexing speed, availability, and auditability become blockers. These three features together address the main enterprise objections to adopting managed vector storage.

Who is it for?

Teams running production RAG or semantic search on Qdrant Cloud in regulated industries or at scale requiring enterprise SLAs.

Try it

Enable GPU indexing in the Qdrant Cloud dashboard under cluster settings (AWS, min 16 GiB RAM per node).

Sources

Tags

  • vector-database
  • gpu
  • enterprise
  • rag
  • infrastructure
  • cloud

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