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Compare GPU and LLM inference API pricing between Lambda Labs and TensorWave. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Lambda Labs Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Powered by AMD Instinct™ Series GPUs including MI355X, MI325X, and MI300X for high-performance AI workloads.
Offers instances with up to 288GB of HBM3e VRAM per GPU, ideal for large models and memory-intensive workloads.
Provides both bare metal servers for maximum control and managed Kubernetes/Slurm clusters for orchestration.
Utilizes direct liquid cooling delivering up to 51% data center energy cost savings and improved efficiency.
Complete architecture that optimizes next-generation Ethernet for AI and HPC networking with high-speed storage.
SOC2 Type II certified and HIPAA compliant infrastructure for secure AI workloads.
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Kubernetes clusters for orchestrated AI workloads.
An enterprise inference platform designed for larger context windows and reduced latency.
Guaranteed availability with full root access and transparent hourly pricing for MI355X, MI325X, and MI300X GPUs
Custom pricing for multi-node clusters with tailored networking configurations
Custom pricing for high-performance storage powered by Weka file system
Predictable costs without tokenized pricing models or hidden fees
Reduced costs for long-term contracts and high-volume usage commitments
Sign up on the TensorWave website to get access to their platform.
Select between Bare Metal servers or a managed Kubernetes cluster.
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
Deploy your AI model for training, fine-tuning, or inference.
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.
Offers 'white-glove' onboarding and 24/7 dedicated AI/ML solutions engineers, extensive documentation with quickstart guides, and enterprise-grade support.