Qdrant vs CoreWeave

CoreWeave has a disclosed valuation of $49B, while Qdrant's valuation is not publicly available, making a direct size comparison difficult. CoreWeave employs 1800 people.

CoreWeave has raised more in total funding at $2.4B, compared to Qdrant's $87.8M — a gap of $2.3B. Combined, the two companies have completed 7 known funding rounds.

CoreWeave leads with an Awaira Score of 95/100, while Qdrant sits at 55/100. That 40-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Qdrant was founded by Andre Yatskov in 2021. CoreWeave was founded by Michael Intrator in 2017. Visit each company's profile on Awaira for a full founder biography.

Qdrant: Qdrant builds a high-performance vector similarity search engine and managed vector database service optimized for production AI applications requiring fast nearest-neighbor retrieval at scale. The engine is implemented in Rust for memory efficiency and throughput, and supports filtered vector search, payload indexing, and hybrid dense-sparse retrieval in a single system.\n\nThe company raised approximately 28 million USD and serves AI engineering teams across Europe and North America building recommendation systems, semantic search, computer vision pipelines, and RAG-based applications that require low-latency retrieval over large embedding collections. Qdrant is open-source with a managed cloud offering, following the commercial open-source model common in developer infrastructure.\n\nThe vector database market is consolidating around a handful of well-funded players as enterprises standardize their AI data stacks and look for production-grade infrastructure with strong SLAs and support. Qdrant differentiates from pure-cloud competitors through its Rust-based performance characteristics and its strong adoption in European markets where data sovereignty concerns make self-hosted options more commercially attractive than US-operated managed services. CoreWeave: CoreWeave is a specialized AI infrastructure provider founded in 2017 that has become a major player in GPU cloud computing. The company operates a global network of data centers optimized for artificial intelligence and machine learning workloads, offering on-demand access to high-performance GPUs and compute resources. CoreWeave's platform enables enterprises and AI developers to train large language models, run inference workloads, and deploy machine learning applications without building proprietary infrastructure. The company serves organizations across industries including enterprise AI, research institutions, and cloud-native startups requiring flexible, scalable compute capacity. CoreWeave distinguishes itself through customized infrastructure solutions tailored to GPU-intensive applications, offering various processor configurations from NVIDIA and AMD architectures. The company went public in 2025 and currently carries a valuation of $42.0 billion with total funding of $2.38 billion, reflecting substantial investor confidence in AI infrastructure demand. CoreWeave competes directly with hyperscalers like AWS, Google Cloud, and Microsoft Azure in the GPU compute space, alongside specialized competitors such as Lambda Labs and Crusoe Energy. The company's growth trajectory reflects the accelerating demand for accessible GPU computing as organizations scale their AI capabilities. Its business model capitalizes on the infrastructure bottleneck in AI deployment, positioning it as a critical enabler of AI adoption across enterprise sectors. CoreWeave's public status and $42B valuation reflect recognition of GPU infrastructure as fundamental to AI scaling, distinct from traditional cloud computing markets.

CoreWeave got there first, launching in 2017 — that's 4 years of extra runway. Qdrant didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Qdrant has about 50-200 employees; CoreWeave has about 1800. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Qdrant and CoreWeave compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.