Eliminate Cloud GPU Bill Shocks Before Code Merges
Spectra profiles custom model architectures in CI/CD, pinpointing tensor memory bottlenecks and forecasting hardware costs across AWS, GCP, and Azure
Complete Control Over Inference Compute
Stop guessing your cloud infrastructure costs. Automated model profiling directly inside your pull requests
Automated Pull Request Checks
Catch $10k+ cost spikes during code review
Simulates memory requirements for every commit
Provides immediate PR comments with exact hardware recommendations
Blocks unapproved compute overages automatically
Visual Architecture Visualizer
Isolate hidden layer bottlenecks instantly
Interactive tensor shape and parameter visualization
Highlights exact layers causing latency spikes
Recommends precision and quantization trade-offs
Multi-Cloud Hardware Benchmarking
Slash cloud compute overhead by 40%
Compares real-time costs across AWS, GCP, Azure, and RunPod
Finds optimal instance types for target response SLAs
Eliminates over-provisioned idle GPU cluster capacity
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Average GPU Cost Reduction
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Engineering Hours Saved / Sprint
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Hardware Types Simulated
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PR Profiling Latency
Deploying Spectra in 3 Simple Steps
Seamless integration into your existing developer workflow in under 5 minutes
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Step 1: Connect Code Repository
Install the Spectra GitHub App or connect your GitLab environment with standard read permissions.
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Step 2: Sync Cloud Provider
Link your AWS, GCP, or Azure read-only IAM roles to fetch current cluster pricing and instance limits.
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Step 3: Enforce Automated Guardrails
Receive detailed architecture profiles and cost forecasts on every single model pull request.