Intelligence, Distilled.
Sovereign intelligence, forged in Blackwell-class systems. Sensitive loops on our reference lab, elastic scale in the cloud — unified by a single disciplined pipeline.
About PureTensor
We approach AI from first principles of computation. PureTensor builds a durable substrate for intelligence, from Blackwell-class bare metal to cloud-scale delivery, designed to remain sovereign, portable, and disciplined. Standardized stacks, unified data planes, and deterministic pipelines ensure that what we build is not ephemeral experimentation, but a stable foundation for mission-critical intelligence.
Capabilities
PureTensor is AI, engineered as infrastructure. Cloud-positive yet sovereign by design, we fine-tune and operate models with evaluation rigor and cost discipline, always on standardized, reproducible systems.
- Model engineering (instruction/LoRA), multimodal pipelines, safety layers.
- Data systems to S3/Blob/GCS; versioned datasets and lineage.
- MLOps with automated evals, canary deploys, rollback playbooks.
Reference Lab
- Standardized on RTX 6000 (Blackwell, pro-grade).
- Per-dev VRAM quotas via vGPU / SR-IOV for parallel R&D.
- Artifacts portable to cloud for elastic training & delivery.
Tensor // Core
PureTensor's flagship Blackwell-class GPU system, engineered as the compute foundation of our sovereign AI stack. Built on the NVIDIA RTX 6000 PRO with 96 GB ECC GDDR7 and partitioned via vGPU / SR-IOV, Tensor // Core multiplexes developers and workloads in parallel, delivering deterministic performance at scale.
- Blackwell Architecture— standardized on RTX 6000 PRO
- Partitioned Compute— per-developer VRAM quotas enable parallel R&D
- Fleet Mentality— a class of systems, not a single node.
- Portable Artifacts— distilled locally, deployed elastically to the cloud.
- Hybrid Integration— aligned with Ark // Nexus for unified compute + data fabric.
Key Takeaway: Tensor // Core is the sovereign forge of intelligence inside PureTensor where training, inference, and distillation are conducted with bare-metal precision and cloud-aligned scale.
Ark // Nexus
The decentralized data plane bridging cloud object stores with PureTensor's Blackwell-class reference lab and edge inference. It enforces deterministic replication windows, versioned datasets, and low-latency inference paths for sensitive workloads — the backbone of PureTensor's distributed intelligence.
- Cloud object store alignment (S3/Blob/GCS).
- Deterministic replication windows, versioned datasets.
- Low-latency inference paths for sensitive workloads.
Deployment
- Elastic Cloud— scale-out training, managed MLOps, global delivery.
- Hybrid Sovereign— Blackwell inference on sensitive paths, cloud for scale.
- Edge Immediate— distilled, quantized models where milliseconds matter.
Security & Governance
Security is not an afterthought but a design principle. Per-developer isolation, lineage-tracked datasets, and strict minimization of data movement define PureTensor's operational discipline.
- Per-dev isolation (fixed VRAM slices) and least-privilege by default.
- Dataset versioning, lineage, and retention policies.
- Minimize data movement: sensitive loops local; derived artifacts promoted to cloud.
The Team
H. Helgas — Founder & CTO
H. Helgas is the founder and CTO of PureTensor, and the principal architect of Tensor // Core, the flagship Blackwell-class GPU system anchoring PureTensor's sovereign compute fleet, engineered for next-generation training, inference, and HPC workloads at scale. He also designed Ark // Nexus, the decentralized data plane that unifies compute, storage, and recovery into a single operational fabric. With a background in distributed kernel engineering and CUDA-level performance tuning, his work focuses on deterministic, low-latency architectures where bare-metal efficiency converges with cloud-native elasticity. Earlier in his career, he led high-frequency trading infrastructure teams, where eliminating jitter and maximizing throughput forged the latency discipline now embedded in PureTensor's architecture of sovereignty.
Our Development Team
Our team is a curated assembly of engineers and system-builders drawn from global tech hubs, each chosen for mastery and operational discipline. With roots in MLOps, distributed data engineering, and GPU optimization, they bring experience from high-frequency trading to hyperscale infrastructure. At PureTensor, this expertise converges to design sovereign AI systems, where Ark // Nexus unifies data and Tensor // Core anchors compute. Together, they build not experiments, but enduring architectures for scale, determinism, and resilience.
Contact
Send a short problem statement and timeline. If there's fit, we schedule a technical call.
Email: ops@puretensor.ai