TensorWave
AMD-powered cloud challenging Nvidia dominance
Last reviewed Mar 14, 2026
TensorWave is an AMD‑first AI cloud with bare‑metal and managed clusters built on Instinct MI300X/MI325X/MI355X accelerators with large VRAM and ROCm.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: April 19, 2026
Pros & Cons
Advantages
- First-to-market with latest AMD accelerators (MI355X, MI325X)
- Industry-leading VRAM capacity up to 288GB per GPU
- Claims better price-to-performance than competitors
- SOC2 Type II certified and HIPAA compliant
- Provides 'white-glove' onboarding and 24/7 support
- Utilizes an open-source software stack (ROCm)
- Offers bare metal access for greater control and performance
Limitations
- A newer and less established company (founded in 2023)
- Exclusively focused on AMD, which may be a limitation for some users
- AMD ecosystem still smaller than NVIDIA for some ML frameworks
- Limited geographic presence compared to major cloud providers
Key Features
AMD Instinct Accelerators
Powered by AMD Instinct™ Series GPUs including MI355X, MI325X, and MI300X for high-performance AI workloads.
Ultra-High VRAM GPUs
Offers instances with up to 288GB of HBM3e VRAM per GPU, ideal for large models and memory-intensive workloads.
Bare Metal & Managed Clusters
Provides both bare metal servers for maximum control and managed Kubernetes/Slurm clusters for orchestration.
Direct Liquid Cooling
Utilizes direct liquid cooling delivering up to 51% data center energy cost savings and improved efficiency.
UEC-Ready Infrastructure
Complete architecture that optimizes next-generation Ethernet for AI and HPC networking with high-speed storage.
Enterprise Security & Compliance
SOC2 Type II certified and HIPAA compliant infrastructure for secure AI workloads.
ROCm Software Ecosystem
Leverages the AMD ROCm open software ecosystem to avoid vendor lock-in with extensive framework compatibility.
Compute Services
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
| Option | Details |
|---|---|
| Dedicated Bare Metal | Guaranteed availability with full root access and transparent hourly pricing for MI355X, MI325X, and MI300X GPUs |
| Enterprise Clusters | Custom pricing for multi-node clusters with tailored networking configurations |
| High-Speed Storage | Custom pricing for high-performance storage powered by Weka file system |
| Flat-Rate Pricing | Predictable costs without tokenized pricing models or hidden fees |
| Volume Discounts | Reduced costs for long-term contracts and high-volume usage commitments |
Availability & Support
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 24/7 dedicated AI/ML solutions engineers, extensive documentation with quickstart guides, and enterprise-grade support.
Getting Started
- 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.
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