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Cloud · AIaaS · MLaaS · GPUaaS · HPCaaS · DBaaS · DWaaS · DLaaS · ETLaaS · Compliance · Security
Introduction
Graphics Processing Unit as a Service (GPUaaS) delivers cloud-based access to powerful GPU hardware without requiring on-premises clusters or capital expenditures. GPUs (Graphics Processing Units) are designed for parallel processing and excel at workloads such as machine learning (ML), artificial intelligence (AI), high-performance computing (HPC), data visualization, rendering, and simulations.
SolveForce partners with all major GPUaaS providers (NVIDIA GPU Cloud, AWS Elastic Compute Cloud (EC2) P-series, Azure NV-series, Google Cloud GPU, Oracle GPU instances) and ensures the lowest available cost, no hidden fees, and no risk.
I. Overview
GPUaaS replaces the need to purchase expensive graphics cards and servers. Instead, organizations can rent GPU power by the hour or as reserved capacity.
Key benefits
- Elastic scalabilityscale from one GPU to thousands for ML training or rendering.
- Specialized hardwareoptions for Tensor Processing Units (TPUs) and custom accelerators.
- Cost optimizationpay-as-you-go or reserved capacity.
- Remote accessavailable globally via the cloud.
II. Service Features
Compute Options
- Training-optimized GPUsNVIDIA A100, V100, H100.
- Inference-optimized GPUsNVIDIA T4, A10.
- Visualization GPUsQuadro RTX for CAD, 3D rendering.
ML & AI Acceleration
- Support for frameworks like TensorFlow, PyTorch, Scikit-learn, Keras.
- Distributed training across GPU clusters.
- Integration with Machine Learning as a Service (MLaaS).
Rendering & Visualization
- Virtual Workstations with GPU pass-through.
- Computer-Aided Design (CAD) and engineering workloads.
- Media production: video editing, VFX rendering.
HPC & Simulation
- Molecular dynamics, computational fluid dynamics (CFD).
- Genomics, drug discovery simulations.
- Financial risk modeling.
Security & Compliance
- Isolated GPU instances with virtualization.
- Encrypted storage and Transport Layer Security (TLS) in transit.
- Compliance with HIPAA, PCI DSS, ISO 27001, and GDPR.
III. Use Cases
IV. Integrations
V. Pricing & SLAs
- ModelsPay-per-hour GPU usage, monthly reserved, or spot/preemptible pricing.
- SolveForce pricingAlways best-price guarantee across providers.
- SLAs99.9%–99.99% availability for GPU instances.
- BillingConsolidated with other cloud resources via SolveForce.
VI. Related Services
VII. Next Steps
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Quick Links — SolveForce Services
Cloud · AIaaS · MLaaS · GPUaaS · HPCaaS · DBaaS · DWaaS · DLaaS · ETLaaS · Compliance · Security
Key terms in plain language
Open a term for a concise explanation of language used on this page.
Artificial Intelligence (AI)
Software designed to perform tasks involving prediction, classification, generation, reasoning, or decision support. Business use still requires clear data, governance, security, and human accountability.
Cloud Computing
Computing resources—such as applications, servers, storage, or databases—delivered from remote infrastructure and scaled as requirements change.
Infrastructure as a Service (IaaS)
Cloud-based servers, storage, and networking that customers configure and manage without owning the underlying data-center hardware.
Software as a Service (SaaS)
Software accessed as an online service instead of being installed and maintained entirely on the customer’s own computers or servers.
Disaster Recovery (DRaaS)
A plan and service for restoring applications, data, and operations after an outage or disruption. DRaaS provides recovery infrastructure through a managed cloud service.
Identity and Access Management (IAM)
The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.