Updated on 26 January 2026
HPC Services for Distributed Systems
Head of innovation at UST
Barcelona / Madrid, Spain
About
HPC Services for Distributed Systems
UST provides high-performance computing (HPC) expertise for large-scale, distributed workloads across sectors. We bridge academic research (Stanford SAIL, MIT CSAIL) with enterprise-grade infrastructure and industrial applications.
What we bring:
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Dedicated H100 on-prem cluster for training, inference, and experimentation
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Production MLOps/LLMOps pipelines on Azure, AWS, GCP
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Familiarity with MGHPCC and Mass Open Cloud Alliance environments for HPC-tier workloads
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Cross-tier orchestration: policy-aware query routing, carbon- and cost-aware scheduling, long-context memory across edge→cloud→HPC
Work areas:
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Continuum routing & scheduling: PAQR reference implementation, adapters for vLLM/Triton/Bedrock, dashboards
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Distributed RAG & long-context orchestration: KV offload protocols, semantic caching, student–expert distillation
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Industrial pilots leveraging HPC tier: healthcare, retail, and financial services
TRL path: Year 1: prototypes & benchmarks; Year 2: integrated pilot stacks; Year 3: hardened demonstrators, third-party evaluation.
See also our expertise in AI services, including agentic automation, document AI, and privacy-preserving analytics.
Similar opportunities
Expertise
AI Services for Distributed Systems
Daniel Field
Head of innovation at UST
Barcelona / Madrid, Spain
Project cooperation
Energy-side partner and demonstration site for HORIZON-CL4-2027-04-DATA-09 (and DATA-03)
- Partner seeks consortium
- HORIZON-CL4-2027-04-DATA-09: Energy efficiency and sustainability of AI data processing in Data Centres
- HORIZON-CL4-2027-04-DATA-03: New approaches for decentralized, federated and sustainable AI data processing
Lorenzo Pellizzari
Co-founder at Epon Edge
Brussels, Belgium
Service
Manufacturing & Robotics Data Lab
- Other
- Consulting
- Manufacturing
Till Riedel
Lab Lead SDIL/TECO at Karlsruhe Institute of Technology
Karlsruhe, Germany