Alternatives to Trieve Vector Inference

KubeAI is a Kubernetes operator for self-hosted LLM, embedding, reranking, and speech-to-text inference with an OpenAI-compatible API.

Voyage AI embedding models and rerankers for high-precision RAG retrieval, now part of MongoDB

CoreWeave is the AI-native GPU cloud for training, reinforcement learning post-training, and low-latency inference on NVIDIA cluster-scale

Parallax is a distributed model serving framework for building your own self-hosted LLM cluster from mismatched machines.

MatrixHub is a self-hosted AI model registry that gives vLLM and SGLang clusters a private Hugging Face replacement.

Wafer Pass swaps per-token inference billing for a flat-rate subscription on open models like GLM, Qwen, DeepSeek, and Kimi.

Turn your own GPU fleet into an OpenAI-compatible token factory with self-hosted MaaS and GPUaaS

Kalavai pools spare GPUs across laptops, desktops and clouds into one self-hosted AI compute cluster.

NOS is an open-source PyTorch inference server that serves LLMs, diffusion, embeddings, speech-to-text and object detection from one

Training-free distributed inference that splits SDXL generation across multiple GPUs for up to 6.1x lower latency

Groq delivers fast LLM inference on its own LPU and LPX silicon through an OpenAI-compatible API.

Managed Ray platform for distributed training, multimodal data curation, batch embedding, and post-training on your own GPUs

Deploy AI models in production with dedicated GPU inference and pre-optimized Model APIs.

One pay-as-you-go inference API for image, video, audio, LLM and 3D generation across 400K+ models.

DeepInfra runs serverless AI inference on 100+ open models with pay-per-token pricing and an OpenAI-compatible API.

Cerebras runs frontier models at up to 750 tokens/sec for latency-critical AI agents and voice apps.

Together AI runs open-weight model inference through serverless APIs, batch jobs, and GPU clusters.

Rent GPU pods, serverless inference endpoints and multi-node clusters by the second on Runpod's AI developer cloud.

Fireworks AI runs open-weight model inference, orchestration and training on one platform with per-token and per-GPU-second pricing.

Serverless GPU compute for AI agents: forkable microVMs, sandboxes, and inference endpoints billed by the second.

Lilac turns idle GPU clusters into a white-labeled neocloud with spot H100 leases and serverless inference.

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour, billed per second, for retryable inference and batch work.

Rebellions builds chiplet-based AI inference hardware — Rebel100 silicon, RebelCard, RebelServer, RebelRack and RebelPOD for enterprise LLM

TensorRT-LLM is NVIDIA's open-source inference library for high-throughput LLM and visual generation serving on NVIDIA GPUs.

Open-source LLM inference and serving engine that turns open-weight checkpoints into OpenAI-compatible endpoints on your own GPUs.

European edge AI inference accelerators — the Metis and Europa AIPU lines run vision, agentic and GenAI workloads from embedded modules to server cards.

FuriosaAI builds RNGD inference accelerators and the 3 kW NXT RNGD Server for power-efficient LLM serving in standard air-cooled racks.

Modular's unified inference stack runs the same container and OpenAI-compatible API from GPU kernel to cloud endpoint

Decentralized AI inference with sub-5ms latency and verifiable compute

GMI Cloud Inference Engine serves frontier multimodal models through one OpenAI-compatible API on dedicated NVIDIA GPUs.