TensorWave
TensorWave is a cloud provider specializing in AI and HPC workloads, leveraging AMD Instinct accelerators. They offer scalable, memory-optimized infrastructure designed for demanding AI tasks, including training, fine-tuning, and inference. TensorWave aims to provide an alternative to Nvidia-based platforms, with a focus on performance, scalability, and a better price-to-performance ratio.
Key Features
- 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.
Provider Comparison
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
- Utilizes an open-source software stack (ROCm)
- Offers bare metal access for greater control
Limitations
- 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
- A smaller ecosystem when compared to major cloud providers
Available GPUs
GPU Model↑ | Memory | Hourly Price |
|---|---|---|
MI300X | 192GB | $1.50/hr |
MI325X | 256GB | $2.25/hr |
Compute Services
AMD GPU Instances
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Managed Kubernetes
Kubernetes clusters for orchestrated AI workloads.
Features
- 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.
Features
- Accelerated reasoning
- Secure and private data storage
Getting Started
Request Access
Sign up on the TensorWave website to get access to their platform.
Choose a Service
Select between Bare Metal servers or a managed Kubernetes cluster.
Follow Quickstarts
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
Deploy Your Model
Deploy your AI model for training, fine-tuning, or inference.
Compare Providers
Find the best prices for the same GPUs from other providers
