desktop-as-a-service features

OpenCloud ARM Compute

ARM Compute Data Sheet

desktop-as-a-service features

Efficient, AI-ready compute built for what’s next

OpenCloud ARM Compute extends the US Signal OpenCloud platform with high-efficiency Ampere® ARM processors designed for modern, CPU-driven workloads. Built for AI inference, Small Language Models (SLMs), and high-throughput applications, ARM Compute delivers predictable performance, lower energy consumption, and true cloud flexibility without the cost or complexity of GPUs.

 

Powered by the AmpereOne platform, OpenCloud ARM Compute gives organizations a practical way to experiment with AI, scale application services, and optimize infrastructure as workloads evolve.

 

Common Use Cases

OpenCloud ARM Compute is a strong fit for:

AI inference and Small Language Models  |  Retrieval and search applications using private data  |  Recommendation engines and real-time insights |  High-throughput web services and APIs  |  CPU-intensive, scale-out application workloads

Key Features and Benefits

Optimized for AI Inference and SLMs

ARM instances are well suited for workloads that do not require GPUs, including AI inference, retrieval-augmented applications, summarization, recommendations, and API-driven services.

Consistent, Predictable Performance

Ampere’s high-throughput architecture delivers reliable performance under high utilization, helping maintain stable latency as workloads scale.

security services

Exceptional Efficiency

Industry-leading performance-per-watt enables customers to run more workloads with less power, supporting sustainability goals while controlling operating costs.

High Core Density and Flexibility

Powered by dense 192-core processors and available in multiple instance configurations, ARM Compute supports a wide range of performance and sizing needs.

arm compute

True Cloud Consumption

Consume ARM instances as a service, pay only for what you use, and scale up or down as demand changes. No over-provisioning required.

Built on OpenCloud

Delivered with the same enterprise-grade security, compliance, US-based support, and 100 percent uptime SLA as all OpenCloud services.

Why ARM Compute on OpenCloud

AI adoption is moving beyond experimentation and into production. While GPUs are essential for training large models, many real-world AI workloads prioritize efficiency, consistency, and cost control over raw acceleration.

 

ARM Compute is purpose-built for this next phase of AI. Ampere processors deliver high core density and consistent throughput, making them ideal for inference, application serving, and CPU-bound workloads that must scale predictably. When paired with OpenCloud’s consumption-based model, customers gain cloud-like agility without sacrificing control or transparency.

 

OpenCloud ARM Compute is designed for organizations that want to move faster with AI while staying efficient, sustainable, and cost conscious.

Frequently Asked Questions About ARM Compute

Why is US Signal introducing ARM Compute now?

The AI era rewards efficiency. Ampere-powered ARM instances deliver high-throughput compute with industry-leading performance-per-watt, making AI inference and application workloads faster, more predictable, and more sustainable.

What AI workloads work best on ARM Compute?

ARM Compute is ideal for inference-based workloads such as question answering, summarization, recommendations, search, and application services that benefit from high core counts without GPU acceleration.

Can I train large language models on ARM Compute?

Training large language models typically requires GPUs. ARM Compute is optimized for efficient inference and application serving. GPU-enabled OpenCloud options are coming for training and GPU-heavy inference use cases.

What kind of performance should I expect?

Ampere-based instances provide consistent, high-throughput performance, particularly under sustained load, helping keep latency predictable as environments scale. Benchmark briefs are available on request.

Does ARM Compute support sustainability initiatives?

Yes. With superior performance-per-watt, ARM Compute can reduce overall power consumption for many workloads, supporting energy efficiency and sustainability goals.

Can I run Windows workloads on ARM Compute?

Windows Server is not supported on ARM today. Customers requiring Windows should use OpenCloud x86 instances. ARM Compute is best suited for Linux-based applications and AI workloads.

What security and reliability does ARM Compute offer?

ARM Compute includes the same security controls, compliance posture, US-based support, and 100 percent uptime SLA as all OpenCloud services.

Run Cloud Smarter with ARM Compute

OpenCloud ARM Compute gives organizations a practical foundation for modern AI and application workloads. With efficient performance, predictable scaling, and flexible consumption, it helps teams move forward with confidence as AI strategies mature.

Get Started Today

cloud cost optimization