Cloud-Enabled Elastic Compute Scaling Across 5,000 Research PCs

Teceze deployed GPU-accelerated Cloud PC platform enabling researchers to access compute resources matching workload demands instantly. The result: 5,000 research scientists enabled, 50+ projects with secure data enclaves, GPU bioinformatics acceleration, and 3x compute elasticity reducing analysis cycles from weeks to hours.

About the Client

Biotechnology Research Institute is a leading Biotechnology & Research organization operating across International Research Campus. The organization provides Cloud PC with GPU acceleration.

At a glance

Industry
Biotechnology & Research
Headquarters
International Research Campus
Products & services
Cloud PC with GPU acceleration, HPC cluster integration, secure data enclaves, elastic compute scaling, collaborative research environments
Challenge
Compute-intensive genomic analysis, large genomic datasets with privacy constraints, international collaboration with export restrictions, expensive workstation refresh

Success highlights

  • 5,000 research scientists enabled with GPU-accelerated Cloud PCs
  • 50+ projects with secure data enclaves and international collaboration
  • 3x compute elasticity enabling on-demand resource allocation
  • Analysis cycles reduced from weeks to hours

The challenge

Corporate meeting

Elastic research computing at scientific scale

5,000 researchers requiring GPU-accelerated compute with secure international collaboration and export compliance

Multi-domain technical complexity across remote, geographically dispersed sites with no incumbent runway AutoStore required multi-domain smart hands support spanning end-user computing, servers, and network infrastructure Dispersed footprint across 14 countries, with many sites in genuinely remote locations, including far-flung parts of Norway Sourcing qualified engineers at short notice in remote locations is among the hardest problems in the dispatch business

Engagement launched in February 2026 with no incumbent: service had to be operational, reliable, and measurable essentially from day one Remote-site availability gaps represented the single biggest constraint to rapid scaling

Our approach

GPU Cloud PC Platform with HPC Integration and Secure International Collaboration

Teceze designed a Cloud PC platform that puts GPU-accelerated bioinformatics compute directly in researchers’ hands without the six-week wait for a workstation refresh. NVIDIA GPU acceleration (A100, H100) is provisioned per workload, with direct access to high-performance storage clusters and CUDA/cuDNN libraries pre-installed to cut setup time to near zero. Cloud PCs connect directly to HPC clusters for large-scale genomic analysis, supporting batch job submission, optimized data staging, and result visualization without leaving the desktop. Sensitive genomic data is protected through isolated, project-specific data enclaves with encryption in transit and at rest, export restriction enforcement for international collaboration, and full audit logging of every access. Compute itself is elastic — resources scale automatically to match workload demand and back down during quiet periods, replacing expensive workstation purchases with pay-per-use capacity that feels unlimited to the researcher.

Researcher enablement was central to the platform design. Teceze implemented simplified interfaces abstracting GPU complexity, automated job submission workflows reducing researcher context-switching, and real-time workload monitoring dashboards providing scientific intuition about compute resource consumption. Training programs equipped research teams with cloud-native computing best practices while maintaining scientific rigor. Performance optimization was continuous — monthly review cycles analyzed bottlenecks in genomic pipelines, validated algorithm execution on different GPU architectures, and incorporated researcher feedback into platform refinements.

From challenge to transformation, the solution included:

GPU Cloud PCs

NVIDIA GPU acceleration (A100, H100) for bioinformatics workloads, direct access to high-performance storage clusters, GPU library pre-installation (CUDA, cuDNN), and automatic driver and library updates.

HPC Cluster Integration

Direct connectivity to high-performance computing clusters for large-scale genomic analysis, batch job submission from Cloud PC, optimized data staging, and job monitoring with result visualization.

Secure Data Enclaves

Isolated project-specific storage enforcing data segregation, encryption in transit and at rest, international collaboration desktops with export restriction enforcement, and audit logging of all data access.

Elastic Compute Scaling

Automatic resource allocation matching workload demands, pay-per-use compute eliminating expensive workstation purchases, and automatic scale-down reducing cost during low-demand periods.

Governance and Reporting Cadence

Operational transparency and stakeholder alignment are critical to program success. A layered governance model keeps program health and costs visible:

Cadence Forum Focus
Daily Research Operations Stand-up Compute availability, GPU utilization, data pipeline issues
Weekly Project Review Analysis progress, compute scaling efficiency, collaborative project status
Monthly Governance Call Data security compliance, export restriction adherence, HPC integration performance
Quarterly Business Review Research productivity gains, compute cost efficiency, emerging technology integration
The Results

Proven results at scale

5KResearch Scientists
68+Active Projects
3xCompute Elasticity
68+Active research projects with isolated data enclaves and cross-border collaboration protocols
3xCompute elasticity enabling on-demand resource allocation for genomic analysis
$100M+Annual workstation capital expenditure eliminated by GPU-accelerated genomics workflows

What the client says

“Scientific research lives by compute power and data security. GPU workstations cost $20k+ and become obsolete in 3 years. International collaborations require secure data sharing with export compliance. Teceze gave us Cloud PCs with GPU acceleration, elastic scaling on-demand, and secure data enclaves for international research. Researchers now access unlimited compute matching their workload. Analysis cycles dropped from weeks to hours. That’s accelerating scientific discovery.”

— Director of Research Computing

Delivery partnership

How Teceze Executes on This Engagement

Teceze provided GPU Cloud PC architecture design, HPC cluster integration implementation, secure data enclave setup, international collaboration framework, elastic compute scaling automation, export compliance enforcement, and ongoing support. Governance model includes daily research operations standups monitoring compute availability and GPU utilization, weekly project reviews assessing analysis progress and scaling efficiency, monthly governance calls verifying data security and compliance, and quarterly business reviews measuring research productivity and compute efficiency.

Looking ahead

Post-engagement Value and Ongoing Partnership

The Biotechnology Research Institute accelerates scientific discovery through cloud-native research computing. Teceze established elastic scaling enabling researchers to access compute resources matching workload demands instantly. International collaborations benefit from secure data sharing while maintaining compliance with export restrictions. The organization leverages compute elasticity to support emerging AI-assisted genomics initiatives, reducing analysis cycles from weeks to hours and enabling novel research approaches previously infeasible with traditional computing infrastructure.

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