Cerebras vs Lambda Labs Cloud
Compare specialized AI Tools
38% Similar based on 3 shared tags
C
Cerebras
AI compute platform known for wafer-scale systems and cloud services plus a developer offering with token allowances and code completion access for builders.
Pricing Starts $50 per month (developer) / contact sales
Category specialized
Difficulty Beginner
Type Web App
Status Active
L
Lambda Labs Cloud
GPU cloud for training and inference with H100 and newer instances clusters private clouds containers storage and usage based hourly billing.
Pricing Pay as you go
Category specialized
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Cerebras
hardwarewafer-scaledeveloper
Shared
traininginferencecloud
Only in Lambda Labs Cloud
gpuh100
Key Features
Cerebras
- • Developer plans with fast code completions and daily token allowances
- • Wafer-scale CS systems and cloud clusters for training large models
- • API and SDK access to integrate inference into apps and agents
- • High throughput serving for interactive apps and copilots
- • Enterprise deployments with security reviews and SLAs
- • Option to scale from prototyping to production on the same platform
Lambda Labs Cloud
- • Instant H100 class instances for training and inference
- • One click clusters for distributed jobs with fast fabric
- • Per hour pricing with no egress fees and clear quotas
- • Prebuilt images for PyTorch CUDA and common stacks
- • Terraform and API to automate provisioning at scale
- • Private networking roles and quotas for control
Use Cases
Cerebras
- → Prototype code copilots with high context completions and fast tokens
- → Serve apps that require low latency responses at large scale
- → Accelerate training runs for LLMs and domain adapters
- → Integrate inference via APIs to web backends and tools
- → Run evaluations and red teaming at higher throughput
- → Support research teams with large batch experiments
Lambda Labs Cloud
- → Train LLMs and diffusion models on H100 with multi node templates
- → Run high throughput inference with autoscaled instances
- → Burst to cloud from on prem boxes during peak demands
- → Host internal notebooks with GPU acceleration for teams
- → Standardize golden images for controlled environments
- → Benchmark models cost per token across GPU types
Perfect For
Cerebras
developers ML engineers platform teams and enterprises seeking fast model access training throughput and predictable developer plans with enterprise pathways
Lambda Labs Cloud
ML engineers research labs platform teams and enterprises that need fast H100 access predictable cost and automation friendly provisioning
Capabilities
Cerebras
Developer Plans Professional
Wafer-Scale Systems Enterprise
APIs and SDKs Professional
Enterprise Support Enterprise
Lambda Labs Cloud
GPU instances Professional
One click clusters Professional
API and Terraform Intermediate
Private cloud options Intermediate
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