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Applied Digital Cloud

Scalable and Secure Accelerated Compute Solutions

Organizations often face significant challenges in managing and scaling their computing infrastructure.

The complexity and resource demands of maintaining in-house HPC and AI systems can be overwhelming, leading to inefficiencies and diverted focus from core business activities. This can be particularly problematic for companies looking to scale quickly or requiring highly customizable solutions to meet their unique needs.

The Applied Digital Solution:
Turnkey CaaS: Cost-Effective GPU Compute Solutions for AI, ML, and HPC Workloads
Applied Digital provides turnkey Compute as a Service (CaaS), offering secure, scalable, managed, and customizable infrastructure that ensures compliance. GPU compute solutions help Applied Digital’s customers execute critical AI, ML, rendering, and other HPC workloads more cost-effectively. The infrastructure is purpose-built for high performance at ultra-low costs and includes enhanced security measures to protect sensitive data and operations. This eliminates the complexities of in-house management, allowing businesses to access robust and flexible compute resources without operational burdens. Focus on core activities is maintained while benefiting from a high-performance, secure, and tailored computing environment.
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Rapid and Scalable
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Leverage our NVIDIA Preferred Cloud Partner status for fast, scalable access to the latest GPUs.
Customized Solutions
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Flexible options including bare metal, Slurm, Kubernetes, and containerized environments.
Cost Efficiency
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Applied Digital is a lower cost than most traditional hyperscalers.
Peak Performance
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Achieve up to 3.2 Tbps InfiniBand per node for maximum throughput.

Your Path to Scalable Innovation

From initial model development to foundational AI and large-scale operations, we provide the infrastructure to grow at every step.
START SMART

Applied Digital Cloud GPU-as-a-Service

Optimized for Early Stages
Ideal for smaller models, fine-tuning, and inference. A practical solution that offers flexible services and support options to hyperscalers.
SCALE UP

Applied Digital Cloud SuperComputer-as-a-Service

Expand Capabilities
For startups ready to train foundational models or host large-scale production inference. Supports exponential growth.
MAXIMIZE POTENTIAL

Applied Digital’s GPU-centric Data Centers

For Mature Needs
Reduces costs and enables massive scalability for AI applications in enterprises and mature startups.
“Applied Digital’s robust computing infrastructure and next-generation data center design, specifically tailored for demanding AI tasks, align with our commitment to innovation…

This collaboration allows us to provide scalable capacity to our thousands of startup and enterprise customers who are building new AI models and applications on our platform.”

Vipul Ved Prakash, CEO of Together AI
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Best-in-class bare metal performance on NVIDIA HGX reference architecture

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GPUs Offered

an illustration of the H100 GPU

NVIDIA H100 Tensor Core GPU

The NVIDIA H100 Tensor Core GPU features 80GB of memory. It delivers an impressive FP32 performance of 67 TFLOPS, making it an excellent choice for high-performance computing and AI workloads that require substantial memory bandwidth and computational power.

NVIDIA H200 Tensor Core GPU

The NVIDIA H200 Tensor Core GPU comes with 141GB of memory. Like the H100 SXM, it also  offers  an  FP32  performance  of  67  TFLOPS,  providing  robust  performance  for  demanding applications, particularly those requiring extensive memory capacity and high throughput.
an illustration of the H200 GPU
an illustration of the A100 GPU

NVIDIA A100 Tensor Core GPU

The NVIDIA A100 Tensor Core GPU offers 80GB of memory. With an FP32 performance of 19.5 TFLOPS, it is suitable for a variety of workloads including AI inference and training, as well as data analytics and scientific computing, providing a balance of performance and flexibility.

NVIDIA A40 GPU

The NVIDIA A40 GPU is equipped with 48GB of memory. It delivers an FP32 performance of 19.5 TFLOPS, making it ideal for visualization, rendering, and compute-intensive applications where high precision and visual fidelity are critical.
an illustration of the A40 GPU
an illustration of the RTX A6000 GPU

NVIDIA RTX™ A6000

The NVIDIA RTX™ A6000 features 48GB of memory. With an FP32 performance of 38 TFLOPS, it is a powerful solution for graphics rendering, AI development, and compute-heavy workloads, offering a robust combination of memory capacity and computational speed.

Partner with Applied Digital to leverage industry-leading compute and services that drive your business forward with efficiency, security, and expert support.

Get Pricing Today
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