Your Private AI Lab
Get private AI compute with dedicated GPUs, all-flash storage, high-speed networking, immutable backups, disaster recovery, and the infrastructure you need to take models from experimentation to production.
Your infrastructure. Your models.
Dedicated GPUs
GPU resources are reserved exclusively for your organization to train and run massive, custom proprietary AI workloads.
Private Environment
Compute, storage, networking, and your AI workloads operate securely inside a completely isolated VPC environment.
Full Model Lifecycle
Build, train, fine-tune, evaluate, deploy, and run models without moving between different cloud infrastructure providers.
Persistent Infrastructure
Your environment remains available for development and production workloads instead of disappearing entirely.
An AI lab without building a data center.
Choose your infrastructure
Select your exact GPU architecture, underlying compute cluster size, storage and deployment configuration.
Launch your AI Lab
Your environment is provisioned with compute, storage, private networking, and essential development tooling.
Build your models
Train models from scratch, fine-tune open-weight models, run experiments, and work with proprietary datasets.
Deploy to production
Run your models directly on the same private infrastructure with your own inference endpoints and applications.
Built for serious AI workloads.
Model Training
Train proprietary and open source models on dedicated infrastructure.
Model Tuning
Customize existing models securely using your own proprietary datasets.
Post Training
Run reinforcement learning, preference optimization, and data workflows.
AI Research
Give research teams persistent infrastructure for deep experimentation.
Model Evaluation
Privately benchmark and evaluate models before production deployment.
Private Inference
Deploy models directly onto your infrastructure and run private inference.
Start with one GPU. Scale to hundreds.
Lab 1
1 GPU
Lab 2
2 GPUs
Lab 4
4 GPUs
Lab 8
8 GPUs
Lab 16
16 GPUs
Lab 32
32 GPUs
Lab 64
64 GPUs
Lab 128
128 GPUs
Lab 256
256 GPUs
Lab 512
512 GPUs
Built on leading AI infrastructure.
GPU Compute
Enterprise accelerators designed specifically for your most demanding AI training and inference workloads.
All-Flash Storage
100% all-flash NVMe storage with zero spinning discs keeps datasets and checkpoints close to your compute.
High-Speed Networking
Low-latency, high-speed networking connects all GPUs and compute nodes to accelerate distributed workloads.
Dedicated Resources
Zero competing workloads consuming the dedicated private infrastructure exclusively assigned to your AI Lab.
Immutable Backups
Air-gapped, immutable backup architectures ensure your proprietary datasets are cryptographically secure.
Disaster Recovery
Automated failover and global geographic redundancy guarantee zero downtime for your AI workloads.
Everything your AI team needs.
Containers
Deploy scalable containerized environments and execute complex AI workloads with ease.
Orchestration
Easily schedule and manage AI workloads across your dedicated GPU infrastructure.
Model Registry
Organize your model versions, training checkpoints, and production releases.
Experiment Tracking
Track your complex training runs, tune model parameters, evaluate metrics and results.
Private Endpoints
Expose your models securely using strictly private and controlled inference endpoints.
APIs
Programmatically manage infrastructure and integrate AI workloads with your applications.
AI infrastructure hosted in the United States of America.
Designed for organizations that value infrastructure location, control, privacy, and predictable access to dedicated compute. Train your own models, bring open-weight models, or fine-tune existing architectures.
Your AI stays private.
Your data
Use proprietary datasets within your private environment.
Your models
Secure your model weights and valuable intellectual property.
Your compute
Access dedicated GPU resources for your workloads.
Your deployment
Scale to production without public inference providers.
The complete model lifecycle.
Develop
Test custom architectures, datasets, and new models.
Train
Run training, model tuning, and large distributed workloads.
Evaluate
Benchmark models, run evals, and rigorously validate performance.
Deploy
Move successful models directly into production without migration.
Run
Run private inference workloads on your dedicated infrastructure.
Built for organizations building proprietary AI models at scale.
Tocova is engineered from the ground up for:
- AI Companies Building proprietary foundational models and AI-native products.
- Enterprises Developing custom AI using highly sensitive internal datasets.
- Research Teams Requiring massive GPU environments for deep experimentation.
- Regulated Industries Organizations with strict compliance and data sovereignty rules.
No token pricing
No inference fees
No shared GPU pool
Dedicated infrastructure
Build AI on infrastructure that's yours.
From your first experiment to production inference, run your AI workloads on dedicated private GPU infrastructure built specifically for training and running AI models.