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Only about a third of IT leaders say their computing infrastructure is AI ready.
Source: Lenovo, “Lenovo Global CIO Report 2024,” April 2024
Of organizations are very concerned about procuring digital infrastructure equipment over the next 12 months.
Source: Uptime Institute, “Uptime Institute Global Data Center Survey 2023,” July 2023
Of organizations struggle to implement and manage complex HPC infrastructure.
Source: CFO, “Preventing runaway cloud costs in 2024,” December 2023
An HPC Solution Tailored to Your Needs
Whether deployed onsite or in a colocation facility, TruScale for HPC offers the agility of the cloud, combined with the speed and control of on-premises solutions. Our team of experts will collaborate with you to create a turnkey, fully managed HPC service tailored to your specific needs and vision.
Enhance TruScale for HPC with TruScale GPUaaS
Get an affordable , state-of-the-art AI infrastructure to unleash innovation across your business.
TruScale GPU-as-a-service (GPUaaS) pairs Lenovo infrastructure with NVIDIA GPUs and enhances Lenovo TruScale for HPC to accelerate y our multi-workload management capabilities.
Together, these economical solutions allocate workloads and facilitate metering, without the resource barriers of on-site hosting infrastructure. Leverage greater flexibility for your GPU-intensive workloads and get high-end performance from a reliable partner you trust.
Processing power when and where it’s needed
A fully managed onsite service that frees up your teams
Control budget with predictable, subscription-based costs
Accelerate AI/ML and HPC workloads
Access more than 50 Lenovo AI Innovator partners
Keep your data behind your firewall
Energy
Accelerate oil and gas exploration
Flexibly scale with changing needs
Control overprovisioning risk
Manufacturing
Drive efficiency and automation in your design lifecycle
Solutions scale to meet your needs, from design concept to production
Simplify procurement of new technology
Life Sciences
Reduce upfront costs of accessing HPC solutions
Stay focused on core competencies with a fully managed HPC environment
Increase capacity to run new projects with cloud-like flexibility and scalability
Education & Research
Innovate without constraint with fully scalable HPC infrastructure
Ensure the latest technology with regular hardware refresh
Prevent overprovisioning so more can be invested in research
Accelerate data analysis, enabling researchers to derive insights from large datasets quickly
Tried, Tested & Trusted
x86 server reliability 10 consecutive years
Information Technology Intelligence Consulting, “ITIC 2023 Global Server Hardware, Server OS Reliability Report,” September 2023
x86 security 5 consecutive years
Information Technology Intelligence Consulting, “ITIC 2023 Global Server Hardware, Server OS Reliability Report,” September 2023
Top-ranked supercomputer provider 6 consecutive years
TOP500.org, “Top500.org June 2024 rankings,” June 2024
TruScale for HPC FAQs
HPC-enabled data analytics offer almost unlimited possibilities to accelerate research, streamline business processes, and automate workloads. But building and maintaining an HPC datacenter is costly and complicated. This is why organizations increasingly turn to Lenovo TruScale for HPC, an HPC-as-a-Service (HPCaaS) solution.
How is using an HPCaaS service model different from having an on-premises HPC datacenter?
How is using an HPCaaS service model different from having a cloud-based HPC datacenter?
Is an HPCaaS implementation more difficult to manage than on-premises or cloud-based solutions?
Is it difficult to migrate to a TruScale for HPC-based solution?
What makes the TruScale for HPC solution different from competitors?
TruScale GPUaaS FAQs
If you're weary of the high costs of private clouds and the delays in acquiring GPUs, there's now a reliable solution for sharing GPU resources. Discover how TruScale GPUaaS can enhance resource use within Lenovo TruScale for HPC solutions.
Who would benefit from this offer?
What is the minimum size for a TruScale GPUaaS solution?
How is GPU usage metered?
What are common use cases for GPUaaS?