Dedicated NVIDIA AI Infrastructure for Enterprise
NVIDIA Blackwell-powered inference, fine-tuning, and agentic AI on dedicated hardware. Integrated alongside your existing AWS, GCP, or Azure stack. The performance of on-prem, the simplicity of cloud.
The Dedicated Compute Advantage
Cloud AI is powerful. But shared infrastructure means shared constraints. Noisy neighbors degrade inference latency. Rate limits throttle production workloads. Sensitive data (client records, proprietary models, competitive intelligence) runs through multi-tenant systems you do not control.
And when GPU demand spikes, your workloads queue behind everyone else's.
PureTensor provides dedicated NVIDIA Blackwell compute that plugs into your existing cloud architecture. Keep your data pipelines on AWS. Keep your applications on GCP. Keep your collaboration tools on Azure. Run your AI inference, fine-tuning, and agentic workloads on dedicated hardware with guaranteed performance: no contention, no rate limits, no shared tenancy.
Not a replacement for cloud. An extension of it, purpose-built for the workloads where dedicated hardware makes the difference.
What We Build For You
Dedicated NVIDIA AI compute integrated with your existing cloud ecosystem. Predictable performance, predictable pricing, no contention.
Dedicated Inference
Run large language models (Llama, Mistral, Nemotron, and more) on dedicated NVIDIA Blackwell GPUs. No shared tenancy, no noisy neighbors, no rate limits. OpenAI-compatible API endpoints that integrate into your existing application architecture.
Enterprise RAG
Retrieval-Augmented Generation pipelines built on your proprietary data. We ingest your knowledge base, build optimized vector indices on dedicated storage, and serve context-aware AI responses grounded in your organization's data.
Agentic AI Hosting
Host autonomous AI agent systems built on NVIDIA NeMo and NIM microservices on dedicated infrastructure with guaranteed compute availability. Guardrails, audit trails, and human-in-the-loop controls included.
Fine-Tuning & Custom Models
Train and fine-tune models on your data with dedicated NVIDIA Blackwell GPUs. 192 GB VRAM enables fine-tuning 70B-parameter models on a single node. Your training data stays on your infrastructure.
Built to Perform. Dedicated by Design.
PureTensor operates a three-tier NVIDIA-powered AI infrastructure with transatlantic connectivity. Dedicated compute available alongside your existing cloud architecture.
- GPURTX PRO 6000 Blackwell
- VRAM192 GB GDDR7
- PrecisionFP4 / FP8 / FP16
- CPUTR PRO 9975WX
- System RAM512 GB DDR5
- Bandwidth200 Gbps CX-6
- RDMA23.5 GB/s
- Efficiency96% line-rate
- LatencySub-microsecond
- Capacity170+ TiB
- EngineCeph Squid
- RedundancyEC 3+1
- Nodes4-node cluster
- TenancyDedicated hardware
- IntegrationAWS / GCP / Azure
- MonitoringPrometheus + Grafana
- AlertingAutomated pipeline
Dedicated infrastructure means guaranteed performance. No contention with other tenants, no GPU availability queues, no surprise throttling. Integrated with your cloud through standard APIs and secure networking.
Transparent Pricing. No Surprises.
Dedicated AI infrastructure without the capital expenditure. Predictable monthly pricing that scales with your needs.
Start with dedicated AI compute in days. No procurement cycle required.
- Dedicated inference endpoint (8B-class model)
- OR managed RAG pipeline (up to 10 GB)
- 1M tokens/day included
- OpenAI-compatible API
- Dedicated hardware, no shared tenancy
- Email support
Production-grade dedicated AI. Integrates with your existing cloud stack.
- Dedicated 70B model endpoint
- RAG pipeline (up to 100 GB)
- 5M tokens/day included
- Basic LoRA fine-tuning (1 job/month)
- Priority support with SLA
- Usage dashboard and audit logs
For organizations where AI performance and data control are non-negotiable.
- Multiple model endpoints
- Full RAG + fine-tuning pipeline
- Custom model hosting
- Unlimited tokens (fair use)
- Dedicated account manager
- Compliance and audit reporting
- 99.9% uptime SLA
Need a custom configuration? We build dedicated AI infrastructure solutions for organizations with specific performance, compliance, or integration requirements. Talk to us.
Dedicated Infrastructure for Healthcare AI
Healthcare AI workloads (clinical note summarization, medical coding, diagnostic support) demand consistent performance and strict data handling. Shared cloud infrastructure introduces variability and compliance complexity.
PureTensor provides dedicated NVIDIA Blackwell compute for healthcare organizations, with infrastructure designed for HIPAA-aligned workloads, audit trails, and data isolation. Run medical LLMs on hardware reserved exclusively for your organization.
PureTensor Labs
Beyond client services, we invest in fundamental research and open-source projects that advance AI capability.
Synthetic Data Generation
Infrastructure-as-Code datasets, computer vision training data, and domain-specific corpora. Generated on dedicated infrastructure for training and evaluation.
Icelandic Language Preservation
Building open-weight language models for low-resource languages. Proving that dedicated AI infrastructure enables cultural preservation too.
Edge AI Perception
Autonomous monitoring and response using Google Coral TPU accelerators. Extending the cognitive trinity to the physical world.
Built for Performance. Engineered for Integration.
PureTensor AI is a Delaware C-Corporation with engineering operations in the United Kingdom and infrastructure spanning multiple geographies.
We run NVIDIA Blackwell hardware on a 200 Gbps internal fabric with petabyte-scale storage. Dedicated infrastructure designed to integrate with, not replace, your existing cloud ecosystem.
Whether you are running production inference alongside AWS, hosting agentic systems that complement your GCP pipelines, or fine-tuning models while your applications stay on Azure, PureTensor provides the dedicated compute layer. No shared tenancy. No GPU queues. No surprises.
Infrastructure architect and engineer. Built PureTensor's AI stack from first principles: from Mellanox NICs to Ceph clusters to NVIDIA inference pipelines.
CFA charterholder and former infrastructure finance lawyer with a career spanning top-tier international law, the world's largest asset manager, and leading European private equity. Over a decade of experience in institutional capital allocation, fund strategy, and cross-border deal execution across EMEA. Fluent in Arabic, English, German, and French. Advises PureTensor on capital strategy, investor relations, and international market expansion.
Member of the NVIDIA Inception Program
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Whether you are augmenting your cloud AI stack with dedicated compute or building custom model infrastructure from scratch, we would like to hear from you.
Delaware, United States