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Lambda vs Modal
Modal provides serverless GPU workloads via Python, whereas Lambda delivers full VM/cluster control with dedicated hardware and compliance features.
Short answer: Pick Lambda if you want scalable, secure GPU clusters for AI workloads; pick Modal if you want serverless GPU-accelerated AI workloads. Lambda is paid; Modal has a free plan.
LambdaTrain and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and more GPUs.
ModalServerless cloud for AI and GPU workloads in PythonWhich to pick
Pick Lambda if you want…
- Scalable, secure GPU clusters for AI workloads
Pick Modal if you want…
- Serverless GPU-accelerated AI workloads
- Serverless GPU functions
- A free plan to start with (Starter)
Side by side
- What it is
- Lambda:Lambda provides on-demand and reserved GPU instances, clusters, and superclusters for training and inference on high-density NVIDIA hardware.
- Modal:Modal provides serverless cloud infrastructure for building, training, and serving Python AI workloads with on-demand GPU and CPU compute.
- Best for
- Lambda:Scalable, secure GPU clusters for AI workloads
- Modal:Serverless GPU-accelerated AI workloads
- Who it’s for
- Lambda:AI researchers, ML engineers, and enterprises needing large-scale GPU compute.
- Modal:AI engineers and data scientists building scalable Python models and pipelines
- Pricing
- Lambda:Paid
- Modal:Freemium
- Free plan or trial
- Lambda:—
- Modal:Free plan (Starter)
- Plans
- Lambda:NVIDIA H100 Instance $3.99 per GPU hour · NVIDIA A100 Instance $2.79 per GPU hour · NVIDIA H100 1-Click Cluster (64 GPUs) $5.85 per GPU hour · NVIDIA B200 Supercluster (256+ GPUs) $8.87 per GPU hour
- Modal:Starter $0 + compute · Team $250 + compute
- Works with
- Lambda:—
- Modal:Python, GCP Marketplace
Lambda features
- On-demand GPU Instances. Spin up NVIDIA B200, H100, A100, GH200, and other instances in minutes via self-serve portal.
- 1-Click Clusters™. Launch production-ready multi-GPU clusters (B200 or H100) with a single click, optimized for distributed training.
- Superclusters. Reserve single-tenant NVIDIA GB300 NVL72 clusters with Quantum-2 InfiniBand for massive scale.
- Secure Single-Tenant Architecture. Data isolation with shared-nothing design and SOC 2 Type II compliance.
- Expert Orchestration. Managed clusters and co-engineering support from Lambda’s infrastructure team.
- High-Density Power & Liquid Cooling. Rack-scale systems with advanced cooling for peak AI performance.
Modal features
- Pay-per-second billing. Charges only for actual CPU, GPU, memory, and network usage, billed by the second.
- Instant autoscaling. Containers spin up/down in 1-2 seconds based on request volume.
- GPU-focused compute. Supports a range of Nvidia GPUs (A100, H100, RTX PRO 6000, etc.) with per-second pricing.
- Python-first containers. Deploy any containerized Python app, ideal for inference, training, and data pipelines.
- Integrated notebooks & sandboxes. Serverless notebooks and sandboxes that burst resources only when needed.
- Enterprise features. Custom domains, static IP proxy, RBAC, SSO, audit logs, and HIPAA compliance.
Lambda vs Modal FAQ
What is the difference between Lambda and Modal?+
Modal provides serverless GPU workloads via Python, whereas Lambda delivers full VM/cluster control with dedicated hardware and compliance features.
Should I use Lambda or Modal?+
Pick Lambda if you want scalable, secure GPU clusters for AI workloads. Pick Modal if you want serverless GPU-accelerated AI workloads, serverless GPU functions or a free plan to start with (Starter).
Is Lambda or Modal free?+
Lambda is paid. Modal has a free plan (Starter) and paid plans.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.