A Paperspace alternative at 80% lower cost
Predictable pricing with unlimited bandwidth and no egress fees
Deploy containers, VMs, or bare metal GPUs at up to 80% lower cost vs. hyperscalers
Fluence vs Paperspace at a glance
Run GPU workloads as containers, VMs, or bare metal
GPU Containers
Inference, experiments, batch jobs, repeatable workloads.
Fast path to launch containerized GPU workloads.
Custom environments, persistent services, orchestration, OS-level control.
More control over the operating environment and runtime setup.
Large training jobs, hardware-sensitive workloads, strict isolation.
Direct hardware access and maximum infrastructure control.
Built for production GPU use cases
Run model-serving workloads with more control over runtime, environment, and infrastructure costs.
Recommended deployment:
GPU container or GPU VM
Use dedicated GPU capacity for custom training runs, adapters, checkpoints, and experiment cycles.
Recommended deployment:
GPU VM or GPU bare metal
Test, iterate, and run GPU-backed workloads without being locked into a notebook-first workflow.
Recommended deployment:
GPU container or GPU VM
Run longer GPU jobs with control over environment, storage, and deployment setup.
Recommended deployment:
GPU VM or GPU bare metal
Process large volumes of prompts, media, embeddings, or model outputs in repeatable jobs.
Recommended Fluence deployment:
GPU container
Run GPU-intensive workloads that benefit from direct infrastructure control and predictable capacity.
Recommended Fluence deployment:
GPU VM or GPU bare metal
Support agent systems that depend on GPU-backed model inference, while keeping the application stack under your control.
Recommended Fluence deployment:
GPU container or GPU VM
Try Fluence with one GPU workload
Select container, VM, or bare metal
Pick a region, provider, or available offer
Launch a small test workload
Compare cost, setup experience, and infrastructure control
Run GPU workloads on infrastructure that gives your team more control, more provider choice, and clearer economics.
