Baseten delivers cloud-hosted GPU-accelerated vector operations for embedding models and LLMs, with auto-scaling deployments, Rust-optimized clients for high-throughput batching, and integrations across AWS, GCP, Azure. Perfect for enterprise RAG preprocessing and global-scale inference pipelines. Offers 12x better embedding throughput than standard clients, superior to Pinecone in GPU efficiency and more flexible than Zilliz Cloud.
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Baseten provides GPU inference infrastructure optimized for AI model serving, including embedding models and large language models. The platform offers both cloud-hosted serving and custom client libraries for maximum throughput.
The Baseten Performance Client is specifically designed for batch embedding workloads, achieving significantly higher throughput than standard HTTP-based SDK clients. This is critical for high-volume embedding pipelines processing millions of documents.
Usage-based pricing model for GPU inference. Specific rates depend on model type, GPU class, and request volume.