NVIDIA Cloud Partner Collaboration
Through our collaboration with an NVIDIA Cloud Partner, we offer access to NVIDIA B300, GB300, and Vera Rubin infrastructure for enterprise AI inference.
ProsGrow AI Token Factory
Optimized Inference.
On Our GPUs or Yours.
Efficient LLM APIs & Managed Inference
Token Factory combines GPU infrastructure, private deployment, and optimized inference to run open-weight models efficiently.
- Pay-per-token APIs
- Dedicated endpoints
- Private deployments
Built for enterprise. Accessible to every builder.
Model portfolio
Tuned models across
NVIDIA
Qwen
DeepSeek
GLM
MiniMax
Mistral
FLUX
Explore the models behind our work in language, speech, retrieval, image and video generation.
Language & multimodal
Kimi-K3- GLM-5.2
- GLM-5.3
- DeepSeek-V4-Flash
- DeepSeek-V4.1-Flash
Laguna S 2.1- Qwen3-30B-A3B
- Qwen3.6-27B
- Qwen3.8-27B
Speech recognition
- Whisper large-v3
- MOSS-Transcribe-Diarize 0.9B
- Canary-1B-Flash
- Canary-180M-Flash
- Nemotron 3.5 ASR Streaming 0.6B
- Parakeet-TDT-0.6B-v3
- Parakeet-CTC-1.1B
- Parakeet-Unified-en-0.6B
- Qwen3-ASR-1.7B
- Voxtral-Mini-4B-Realtime-2602
Granite-Speech-5.0-470M-TurboCTC
Embedding & reranking
- Qwen3-Embedding-8B
- Qwen3-Reranker-0.6B
- Qwen3-Reranker-4B
- Qwen3-Reranker-8B
Image & video generation
- FLUX.2-klein-4B
- Wan2.2-T2V-A14B
- Wan2.2-Animate-2-14B
- MiniMax-H3
Industry Engagement
Infrastructure partnerships and enterprise conversations around more efficient AI inference.
AMD Inference Optimization Collaboration
Engaging with AMD’s engineering team to explore potential technical collaboration on AI inference optimization.
Completed benchmarks
Lower latency. Lower cost. Less memory. More throughput.
Measured results across video, speech, language, image generation, retrieval, and document AI on NVIDIA Blackwell.
Video · MiniMax-H3
54% lower latency
Baseline 19.392ProsGrow 8.913
Seconds · Same eight GPUs
Read video benchmark →
Speech · Whisper
97.8% lower cost
OpenAI API price $0.006ProsGrow cost $0.0001321
Per audio minute sold · 10% paid demand
Read speech benchmark →
LLM · Qwen3
+132% throughput
ProsGrow starting profile 17,961ProsGrow optimized 41,651
Output tokens/s · Same GPU
Read LLM benchmark →
Image · FLUX.2 Klein
+32.5% image throughput
BF16 baseline 1.333ProsGrow NVFP4 1.766
Images/s · Same GPU
Read image benchmark →
RAG · Vector storage
75% less storage
Baseline 4,096ProsGrow 1,024
Dimensions · Same storage precision
Read RAG benchmark →
Document AI · DocVQA
45,978 questions/hour
Baseline 44,608ProsGrow 45,978
Questions/hour · Same eight GPUs
Read document benchmark →
Our great team comes from
Solutions
Open models for the work that matters.
From enterprise copilots to document processing, we help you choose the right open-weight models and inference setup for your applications, balancing model quality, response times, and serving cost.
Enterprise copilots
Put enterprise knowledge to work.
Choose models for internal assistants that help teams find information, summarize knowledge, and support everyday workflows.
- Knowledge search and grounded answers
- Summarization and internal assistance
- Model quality evaluated on your business tasks
Coding agents
Keep development moving.
Run open-weight models for coding assistants and agent workflows, with inference tuned to your context, response time, and concurrency needs.
- Code generation, review, and debugging
- Long-context and multi-step workflows
- Throughput at your target response times
Customer service
Support more conversations.
Power customer-facing assistants and support teams with models selected for answer quality, responsive conversations, and efficient serving.
- Customer assistants and response drafting
- Knowledge-based answers and ticket summaries
- Capacity planned around your support traffic
Document processing
Turn documents into useful information.
Deploy models for extraction, classification, summarization, and question answering across your enterprise documents.
- Structured information from business documents
- Document question answering and retrieval
- Private deployment for your data requirements
GPU infrastructure & inference optimization
On our GPUs or yours.
Combine GPU infrastructure, model deployment, and optimized inference in one offering. Already running models on GPUs? We also help you improve throughput and hardware efficiency on your existing setup.
Get more from the hardware you have.
Our optimization services benchmark your workload and tune runtime, precision, batching, caching, and parallelism to improve throughput and GPU utilization within your quality, latency, and memory constraints.
From model choice to production inference.
Get GPU infrastructure, model deployment, and AI-driven inference optimization together. Choose managed APIs, reserved-capacity endpoints, or a private environment that fits your business.
One package across the stack
AI agentsInference optimization & deployment
HardwareGPUs & accelerators
GPU infrastructureClusters, networking & storage
Data center infrastructurePartner facilities, power & capacity
Deployment
Your AI. Your Control.
Higher throughput. Lower latency. Better GPU efficiency. Choose the inference service that fits your workload and environment.
Efficient LLM APIs
Optimized open models. Flexible, usage-based pricing. Access ready-to-use inference APIs and pay for the tokens you use.
Managed Inference
Private endpoints, deployed, optimized, and managed. Reserve capacity sized for your throughput, response time, and concurrency requirements.
Custom & Private AI
NVIDIA B300 · GB300 · Vera Rubin
Dedicated infrastructure and private deployments, on our GPUs or in your own environment. Fine-tuning and custom AI agents tailored to your workload.
Built for production workloads. On our GPUs or yours. Your pilot defines the integration, operating responsibilities, and commercial scope for the selected environment.
See how it works →Cost savings calculator
See how much you could save.
Potential annual savings
$21.6M
$1.8M saved every month
90% assumed savings rateIllustrative arithmetic based on your inputs, separate from the workload-specific infrastructure models above. Excludes fees and migration costs.
How this estimate works
Monthly savings = monthly spend × savings rate. Annual savings assumes the same monthly spend for 12 months. Actual savings depend on your workload and deployment; a benchmark pilot validates what is achievable.
Explore a pilot
Compare quality, response times, and cost.
Bring your AI or engineering team. We’ll help select the right models, define a pilot, and compare results against your current setup using your representative workloads.
Start with your application.
- Your use case and current inference setup
- Representative inputs and quality expectations
- Traffic, response time, and deployment requirements
Find the right model and setup.
We work with your team to evaluate model candidates and tune the inference stack for your quality, throughput, latency, and hardware requirements.
Measure before you scale.
- Model quality and response time comparisons
- Serving cost and GPU efficiency against your baseline
- An agreed path to production deployment
Talk to Us About a Pilot →
Let’s find the right model, deployment, and economics for your team.