Microsoft Azure vs TensorWave
Compare GPU pricing, features, and specifications between Microsoft Azure and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
Microsoft Azure
Provider 1
TensorWave
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Microsoft Azure Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
MI300X 192GB VRAM • TensorWave | Not Available |  $1.71/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | $2.25/hr★ Best | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | $2.95/hr★ Best | — | |
MI355X 288GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | $1.71/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | $2.25/hr★ Best | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | $2.95/hr★ Best | — | |
MI355X 288GB VRAM • | ||||
Features Comparison
Microsoft Azure
- Azure AI
Comprehensive suite of AI services and tools for building intelligent applications
- Enterprise Integration
Seamless integration with Microsoft ecosystem and enterprise tools
- Hybrid Capabilities
Strong hybrid and multi-cloud support with Azure Arc
- Advanced Security
Industry-leading security features and compliance certifications
- Global Scale
Extensive worldwide network of data centers and edge locations
TensorWave
- AMD Instinct Accelerators
Powered by AMD Instinct™ Series GPUs for high-performance AI workloads.
- High VRAM GPUs
Offers instances with 192GB of VRAM per GPU, ideal for large models.
- Bare Metal & Kubernetes
Provides both bare metal servers for maximum control and managed Kubernetes for orchestration.
- Direct Liquid Cooling
Utilizes direct liquid cooling to reduce data center energy costs and improve efficiency.
- High-Speed Network Storage
Features high-speed network storage to support demanding AI pipelines.
- ROCm Software Ecosystem
Leverages the AMD ROCm open software ecosystem to avoid vendor lock-in.
Pros & Cons
Microsoft Azure
Advantages
- Strong enterprise integration and support
- Comprehensive AI and machine learning services
- Advanced security and compliance features
- Extensive hybrid cloud capabilities
Considerations
- Complex pricing and billing structure
- Can be expensive for certain workloads
- Steeper learning curve for new users
TensorWave
Advantages
- Specialized in high-performance AMD GPUs
- Offers GPUs with large VRAM (192GB)
- Claims better price-to-performance than competitors
- Provides 'white-glove' onboarding and support
Considerations
- A newer and less established company (founded in 2023)
- Exclusively focused on AMD, which may be a limitation for some users
- Limited publicly available information on pricing
Compute Services
Microsoft Azure
Azure Virtual Machines
GPU-enabled VMs for various workloads
Azure Kubernetes Service (AKS)
Managed Kubernetes service with GPU support
- Integrated GPU node pools
- Automated scaling and updates
Azure Machine Learning
End-to-end ML platform with GPU acceleration
- Automated ML capabilities
- Integrated MLOps
TensorWave
AMD GPU Instances
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Managed Kubernetes
Kubernetes clusters for orchestrated AI workloads.
- Scalable from 8 to 1024 GPUs
- Interconnected with 3.2TB/s RoCE v2 networking
Inference Platform (Manifest)
An enterprise inference platform designed for larger context windows and reduced latency.
- Accelerated reasoning
- Secure and private data storage
Pricing Options
Microsoft Azure
Pay-as-you-go
Flexible pricing with no upfront commitment
Reserved VM Instances
Save up to 72% with 1 or 3-year commitments
Spot VMs
Up to 90% savings for interruptible workloads
Azure Hybrid Benefit
Cost savings for existing Windows Server and SQL Server licenses
TensorWave
Getting Started
Microsoft Azure
- 1
Create an Azure account
Sign up for Azure and get started with free credits
- 2
Set up your environment
Configure your subscription, resource groups, and access controls
- 3
Choose compute services
Select from VMs, containers, or serverless based on your needs
- 4
Deploy resources
Launch your first GPU-enabled instance or AI service
TensorWave
- 1
Request Access
Sign up on the TensorWave website to get access to their platform.
- 2
Choose a Service
Select between Bare Metal servers or a managed Kubernetes cluster.
- 3
Follow Quickstarts
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
- 4
Deploy Your Model
Deploy your AI model for training, fine-tuning, or inference.
Support & Global Availability
Microsoft Azure
Global Regions
60+ regions worldwide with multiple availability zones
Support
Basic, Developer, Standard, and Professional Direct support plans with 24/7 options. Extensive documentation and community resources.
TensorWave
Global Regions
Primary data center and headquarters are located in Las Vegas, Nevada. The company is building the largest AMD-specific AI training cluster in North America.
Support
Offers 'white-glove' onboarding and support, extensive documentation, and a company blog.
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