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Compare GPU and LLM inference API pricing between Fluidstack and Lambda Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Fluidstack Price | Lambda Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | 2x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | 2x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Bare-metal OS for AI infrastructure with fast provisioning, smooth orchestration, and total ownership
Monitoring and optimization system that catches problems before they impact workloads
Fully isolated infrastructure at hardware, network, and storage levels with no shared clusters
Direct engineering support with 15-minute response SLA and secure access controls
No egress or ingress fees, with on-node NVMe storage included
Clusters tested to deliver 95%+ of theoretical performance from day one
Dedicated, high-performance GPU clusters that are fully isolated, fully managed, and always available.
Designed for large-scale training and inference, deployed on fully managed cloud infrastructure. 256-10,000+ GPUs with monthly or annual terms and discounted rates.
Launch GPU instances in under 5 minutes and seamlessly scale to 100s of GPUs on-demand. 8-4,000+ GPUs with hourly billing.
Custom dedicated clusters for complex needs with flexible terms and region-specific deployments.
Talk to a Fluidstack expert to discuss your specific AI infrastructure needs
Get custom pricing for your GPU cluster requirements
Launch your dedicated GPU cluster with fully managed support