Built on the stack that
powers frontier AI.
Onyx AI Labs is a member of NVIDIA Inception, a program designed to nurture startups revolutionizing industries with AI. Through Inception, we have direct access to NVIDIA's latest GPU hardware, AI frameworks, inference microservices, and technical resources — the same infrastructure trusted by the world's most demanding AI workloads.
What the Inception program unlocks
NVIDIA Inception is an acceleration platform for AI and advanced computing startups. Members receive hardware grants, cloud credits, technical training, and go-to-market support — compressing months of infrastructure procurement into direct access.
DGX Hardware Access
Priority access to NVIDIA DGX systems — the reference architecture for large-scale AI training and inference. We train and serve models on the same GPU clusters that power GPT, Claude, and Gemini.
NIM Microservices
Pre-built, optimized inference containers for NVIDIA-optimized models. Drop-in deployment of LLMs, embedding models, and vision models with TensorRT-LLM acceleration.
Technical Resources
Direct engineering support from NVIDIA solution architects, early access to new frameworks and SDKs, and expert training on the full NVIDIA AI platform.
Go-to-Market Support
Co-marketing opportunities, event presence, case study development, and access to NVIDIA's enterprise customer network.
The NVIDIA technologies we build on
NVIDIA NeMo
Model Training & Customization
Framework for building, training, and fine-tuning large language models. Powers our Cortex regulatory intelligence pipeline — purpose-trained models for compliance domains.
NIM Microservices
Optimized Inference
Production-ready inference containers with TensorRT-LLM acceleration. Delivers 5-10x throughput improvement over standard model serving for our multi-model Legion platform.
TensorRT-LLM
Inference Optimization
GPU-accelerated inference engine. Reduces latency and increases throughput for all our deployed language models — critical for real-time regulatory compliance checks.
Triton Inference Server
Model Orchestration
Multi-framework model server supporting concurrent execution of deep learning models. Enables our multi-model architecture to query and ensemble across model types.
NV-EmbedQA
Semantic Search & Retrieval
GPU-accelerated embedding and question-answering pipeline. Powers Cortex's citation-backed retrieval over 73K+ regulatory obligations with cryptographic audit receipts.
Megatron-Core
Distributed Training
PyTorch-based library for large-scale transformer model training. Used in Forge for custom LLM training on domain-specific corpora across multiple GPUs.
Milvus + GPU Indexing
Vector Database
GPU-accelerated vector search for semantic retrieval at scale. Indexes regulatory frameworks, case law, and compliance documents across 20+ jurisdictions.
DGX Hardware
Compute Infrastructure
Purpose-built AI infrastructure for training and inference. Our models are trained and evaluated on the same reference architecture used by frontier AI labs.
Onyx products running on the NVIDIA stack
Every product we build leverages NVIDIA infrastructure. Here's how.
Cortex
Regulatory Intelligence API
Purpose-trained models for regulatory compliance. NeMo for fine-tuning, Triton for multi-model orchestration, NV-EmbedQA for citation-backed retrieval across 73K+ obligations. Cryptographic audit receipts on every answer.
NeMo · Triton · NV-EmbedQA · TensorRT-LLM
Forge
Vertical LLM Factory
Takes domain expertise and regulatory corpus as input, outputs production-ready model packages. Megatron-Core for distributed training, NIM for optimized deployment containers, TensorRT-LLM for inference acceleration.
NIM · Megatron-Core · DGX · TensorRT-LLM
Foundry
Agentic Dev Workspace
Multi-model collaborative development environment. Triton orchestrates concurrent model access, NeMo Guardrails enforces safety policies, NIM delivers optimized inference for interactive agent workflows.
Triton · NeMo Guardrails · NIM
Legion
Multi-LLM Deliberation Platform
Five-model structured deliberation. Triton manages concurrent inference across Claude, GPT, Gemini, Grok, and DeepSeek. TensorRT-LLM optimizes throughput for real-time multi-round synthesis.
Triton · TensorRT-LLM · DGX
About NVIDIA
NVIDIA pioneered accelerated computing. Founded in 1993, the company invented the GPU and has since evolved into a full-stack computing company — from chips to systems to software to AI frameworks. NVIDIA's platform is the backbone of modern AI: every major large language model, from GPT to Claude to Gemini, is trained on NVIDIA GPUs.
The NVIDIA Inception program supports over 16,000 AI startups worldwide with technical resources, hardware access, and go-to-market support. Members span healthcare, robotics, autonomous vehicles, financial services, and enterprise AI.
Building on the NVIDIA stack?
We'd love to compare notes. Whether you're exploring NIM, training with NeMo, or deploying on DGX — let's talk infrastructure.
Get in touch