Open-weight models. Your infrastructure. Zero exposure. Deploy the world's most capable open models on compute you fully control.
ThinkVault supports deployment of leading open-weight models across all major architecture families. All weights remain on your infrastructure.
Meta's most capable open model family. Available in 8B, 70B, and 405B parameter variants. Exceptional instruction-following, coding, and reasoning capabilities optimized for enterprise deployment.
Highly efficient 7B parameter model that outperforms Llama 2 13B on most benchmarks. Ideal for high-throughput inference, chatbots, and classification tasks where speed and cost matter.
Technology Innovation Institute's 40B model trained on 1 trillion tokens from RefinedWeb. Strong multilingual performance and factual accuracy, well-suited for knowledge-intensive enterprise applications.
Sparse mixture-of-experts architecture with the effective capacity of a 47B model at the inference cost of 13B. Outstanding performance on math, code generation, and multilingual tasks with remarkable efficiency.
Microsoft's small language model designed for on-device and edge AI. The Phi-3 family (mini, small, medium) delivers exceptional reasoning quality at 3.8B to 14B parameters — ideal for latency-sensitive applications.
Google DeepMind's lightweight, state-of-the-art open model built from the same research behind Gemini. Available in 2B and 7B variants with strong performance on text tasks and responsible AI design principles.
Whether you need a single inference endpoint or a distributed training cluster, ThinkVault handles the deployment complexity so you don't have to.
Production-ready REST and streaming APIs for any supported model. Deployed within your private VPC, with autoscaling, load balancing, and monitoring configured from day one. Custom domain, authentication, and rate limiting included.
Supervised fine-tuning, RLHF, and LoRA / QLoRA adaptation pipelines fully managed on your GPU clusters. Bring your domain-specific datasets — ThinkVault handles the training infrastructure, checkpointing, evaluation, and model serving.
Already have a fine-tuned model? Import it directly into ThinkVault's serving infrastructure. We support GGUF, SafeTensors, PyTorch, ONNX, and TensorRT formats. Full model weight ownership remains yours throughout.