Read our leader's playbook for shipping fast AND safe through proper compliance verification infrastructures.
Read our technical guide for developing game-changing CUDA applications. From developers to developers.
CUDA Code Verification for Safety-Critical Systems
The only automated tool for NVIDIA's official CUDA C++ Safety Guidelines
A growing part of your software's safety-critical logic runs on GPUs, but traditional verification tools are blind to it.
Axivion is the only solution that makes your GPU-accelerated system safe, auditable, and ready for production.
Axivion – The only tool that natively supports and automates NVIDIA's official CUDA C++ Safety Guidelines, delivering what's needed to simplify your compliance audit and enable your product's safety certification.
Build Your NVIDIA CUDA Verification Infrastructure For Functional Safety
40% Faster
CUDA Code Verification
Reduce months of manual reviews to days through automated CUDA development analysis that understands parallel execution, memory patterns, and architectural boundaries.
70-80% Less
Audit Preparation for CUDA Programming
Generate compliance evidence in hours instead of 4 weeks. Continuous documentation for Functional Safety standards, and NVIDIA CUDA guidelines.
15% Increase
In CUDA Development
Productivity
Save 2-3 months per developer annually by eliminating manual verification tasks. Your CUDA programming experts build features, not compliance reports.
100% Visibility
Complete Coverage of C++ and CUDA Code
The first and only tool for NVIDIA's CUDA C++ Coding Guidelines. Complete visibility across CPU-GPU boundaries where other tools see nothing.

The Challenge of GPU-accelerated Safety-Critical Systems
CUDA Programming –
Your Biggest Innovation and Biggest Risk in Functional Safety
Your most groundbreaking and innovative software (perception algorithms, sensor fusion, diagnostic AI) run on NVIDIA CUDA. This is your competitive edge.
These are complex safety-critical systems that traditional static analyzers and verification tools can't verify. Your GPU code that runs in these products, covering almost 40% of your entire safety-critical system, goes completely unverified.
What this actually means:
Legal exposure growing daily
Every unverified kernel in production translates into liability risks you are carrying
Innovation moving elsewhere
3-4 weeks to manually verify CUDA code changes equals teams wasting their time in actual developing
Talent walking out
Senior engineers spending almost half of their time on compliance and fixing issues that could be avoided. Your best C++ and CUDA engineers didn't join to be compliance officers
The Solution Is Verification Infrastructure – Not More Processes
The Structural Control Layer for NVIDIA CUDA Development
Axivion for CUDA isn't another testing tool. It's the governance infrastructure that makes CUDA programming safe in mission-critical systems.
Axivion is the first tool that provides the functional safety verification layer that makes CUDA development both fast and safe.
This is your only automated checker that natively enforces the official NVIDIA CUDA C++ Guidelines to ensure continuous architecture and code verification and compliance. Your safety-critical GPU-accelerated system becomes as managed as everything else.
The measurable difference:
– 40% less manual verification work– 70% faster compliance documentation
– 15% productivity gain year one
Transform GPU-accelerated code from ungoverned risk into managed capability.

See How It Works
Watch an interactive demo showing the actual verification process, the key features and functionality.
Note: The tour will open in a pop-up window – view in landscape mode on mobile devices.
- 1. Complete Visibility
- 2. Automated Compliance
- 3. Developer Productivity Restored
1. Complete visibility for CUDA Development – Finally
Traditional tools see functions. Axivion sees complex systems.
– Real architecture mapped:
C++ and CUDA architecture verification. Actual CPU-GPU data flow versus intended design exposed
– Hidden issues surfaced: Race conditions and boundary violations accumulating for years become visible
– CUDA code risk detection:
Surfaces race conditions, memory violations, and architectural drift that have been accumulating in your CUDA development for years
Key insight: Most teams discover critical issues in their system within hours of their first scan; issues that testing missed and reviews overlooked.
2. Automated Compliance that Scales with Your NVIDIA CUDA Programming Ambition
Manual verification consumes 3-4 weeks. Automated compliance work in every commit.
– Native Checker for NVIDIA CUDA Guidelines: First and most complete automated tool with native checker built for NVIDIA CUDA C++ Guidelines for Effective Safety-Critical Programming
– Extended standards for C++ and CUDA:
MISRA C++:2023 adapted for CUDA, AUTOSAR C++14, CERT, and other rule sets.
– Continuous documentation: Audit evidence generated automatically, maintaining compliance trail without manual effort
Time returned: 70-80% reduction in audit preparation. From 3-4 weeks of manual documentation to automated proof generated in hours.
3. Developer Productivity Restored
Stop wasting expertise on repetitive CUDA code verification. Engineers build features, not compliance reports.
– IDE integration: Issues surface during coding, not weeks later
– 30-40% faster debugging:
Race conditions and memory issues in NVIDIA CUDA caught with full context, fixed immediately
– Remove manual documentation:
2-3 months per C++ and CUDA developer per year recovered from manual compliance tasks through automated documentation
Result:
15% productivity increase during first year.
30% senior engineer time returned to development through eliminating manual verification overhead.
Why Axivion Changes Safety-Critical CUDA Programming Forever
Min. 40% of functional-safety code invisible
3-4 weeks audit prep for C++ and CUDA
Manual NVIDIA CUDA compliance
2-3 months/developer on code reviews
CUDA development errors found late
C++ and CUDA architecture erodes
With Axivion for CUDA
Complete NVIDIA CUDA analysis with architectural understanding
Automated evidence generation in hours
Native checker of official NVIDIA CUDA C++ Coding Guidelines
Automated verification in CI/CD
IDE integration catches issues at commit
Continuous boundary verification
The Impact on CUDA Programming
Full visibility = reduced liability
70-80% time saved, always audit ready
The only certified solution in the industry
15% productivity recovered
30-40% faster debugging
One-third reduction in maintenance cost
Built for How CUDA Teams Actually Work
Architecture Verification
Clone Detection and Management
Metric Monitoring
Coding Guidelines & Defect Detection
Dead Code Analysis
Cycle Detection
KEY FEATURES & TECHNICAL CAPABILITIES
Technical Capabilities for CUDA Programming Teams
Comprehensive NVIDIA CUDA analysis that goes beyond surface-level checks.
Axivion for CUDA isn't a standard linter—it's purpose-built for C++ and CUDA in safety-critical systems.
Here's what your development teams gain:
Download the Datasheet
Architecture Verification for CUDA Programming
Enforces CPU-GPU boundaries, catches architectural drift before it compounds, and proves Freedom from Interference (FFI) for mixed-criticality systems — all automated.
NVIDIA CUDA Specific Static Analysis
Analyzes parallel execution patterns, memory hierarchies, and thread synchronization as GPU operations—catching race conditions, deadlocks, and memory violations that traditional static analyzers miss.
Clone Detection & Management
Finds duplicate patterns across C/C++/CUDA even after refactoring, tracks clone evolution, and identifies consolidation opportunities to cut maintenance burden.
Metric Monitoring
Calculates complexity metrics for parallel code, nesting depth, and maintainability scores.
Dead Code Analysis
Identifies unreachable kernels, unused device functions, and orphaned GPU allocations, enabling safe cleanup of legacy CUDA without breaking hidden dependencies.
Cycle Detection
Catches recursions in device code, circular CPU-GPU dependencies, and include tangles before they impact compilation or performance.
Safety Standards Compliance
Pre-qualified for ISO 26262 (ASIL-D), IEC 61508 (SIL 4), IEC 62304 (Class C), and EN 50128/50629 with test suites validating your verification process.
Seamless Integration
Works with all major IDEs, compilers including NVIDIA nvcc, integrates with CI/CD pipelines (eg. Jenkins, GitLab, Azure DevOps), and provides delta analysis to focus verification only on changed code.
Tool Qualification Kit for CUDA Verification
The Axivion Tool Qualification Kit helps you by covering both static analysis and architecture verification for C, C++, and CUDA C++.
Supports you to meet the safety-critical industry's strictest safety standards.
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Architecture Verification: Your Safety Net for GPU-accelerated Code
Axivion doesn't just find bugs. It enforces your intended architecture as code evolves.
Every commit triggers verification that maps actual GPU behavior against design intent, violations caught before they compound, and system structure gets documented automatically.
How we're different:
Traditional static analyzers aren't advanced enough for the complexity of CUDA programming. Axivion understands parallel execution, memory hierarchies, and CPU-GPU boundaries as computational structures.
What this means:
– Race conditions surface at commit, not in production– Memory violations caught immediately, not during testing
– Architectural drift blocked before it becomes permanent
Your architecture stays clean. Your compliance liability stays manageable.
Automated Compliance That Runs Continuously
Why Speed Your Compliance Certification with Axivion
The certification and compliance bottleneck gets solved. Stop scrambling quarterly for audit evidence. Axivion generates compliance documentation with every build.
Always verified:
– All 49 coding rules from NVIDIA CUDA C++ Guidelines– MISRA C++:2023 extended for GPU code
– AUTOSAR C++14 adapted for CUDA
– CERT security standards
Delta Analysis included: Only verify what changed. Reduce re-certification overhead by 70% while maintaining complete traceability.
Compliance becomes background process, not quarterly panic.
Start Governing Your Safety-Critical CUDA Code in Weeks
How to Get Started
1. Baseline Analysis – Reality Check
Scan your actual CUDA codebase. Discover architectural violations, hidden race conditions, compliance gaps. In the Proof of Value Workshop, we can test this in your actual code, no hypotheticals.
2. Standards Configuration – Encode Your Standards
Encode NVIDIA CUDA C++ Coding Guidelines, MISRA rules, custom standards. Map your intended architecture (or let Axivion reverse-engineer it). Set boundaries between safety-critical and performance code.
3. Integrate With Zero-Disruption
Connect to your pipeline (Jenkins, GitLab, Azure DevOps, and more). Activate IDE feedback. No workflow changes: Developers get immediate feedback in their IDE.
4. Keep Continues Verification Running
Your team builds. Axivion verifies. Every commit checked, boundaries enforced, compliance automated.
Works with your existing tools, compilers, and all major CI/CD platforms.
What changed with NVIDIA's CUDA C++ Coding Guideline announcement?
- NVIDIA CUDA
This is a watershed moment for any team using CUDA in high-reliability systems.
For the first time, NVIDIA has published an explicit, vendor-backed "golden standard" for NVIDIA's official CUDA C++ safety Guidelines for Effective Safety-Critical Programming This means GPU code is now an auditable part of the safety argument, just like CPU code.
This is the key for you:
Axivion is the only tool that natively supports and automates these official guidelines and delivers the Tool Qualification Kit needed to simplify your compliance audit and support your journey to product safety certification.
Our tools must handle CUDA somehow?
- NVIDIA CUDA
Check your last analysis report. Most traditional static analyzers are blind to CUDA.
They either crash, skip the GPU code entirely, or misinterpret CUDA-specific syntax as standard C++, leading to a storm of false positives. They cannot see or enforce NVIDIA's new safety rules. Axivion is the only tool that is purpose built and natively understands CUDA syntax, kernels, and host-to-device patterns.
Is automated safety verification actually required with CUDA programming?
- NVIDIA CUDA
For regulated industries dealing with safety and security standards, yes. You must prove compliance, and manual verification isn't scalable, repeatable, or provable in an audit. NVIDIA's CUDA C++ Coding Guidelines were explicitly written to for Functional Safety and Axivion for CUDA is the only and first tool that automatically makes these enforceable. For an auditor, an automated, tool-based report is the a reliable way to produce the required compliance evidence.
We've done manual compliance verification reviews for years. Why change now with CUDA?
- NVIDIA CUDA
Because manual reviews can't scale and they miss the most dangerous bugs and errors that cause software recalls and threaten safety and security.
Manual verification comes with limitations at spotting complex, intermittent issues like race conditions, memory access violations, or subtle bugs that only appear in parallel execution. More importantly, manual reviews cannot reliably prevent architectural drift or violations that compromise functional safety, "freedom from interference", and other key requirements in the safety-critical software industry.
Automation frees your senior engineers from routine compliance checking and documentation bottlenecks so they can focus on actual development.
Will integrating Axivion for CUDA slow development?
- NVIDIA CUDA
It does the opposite. Your current process is slow: developers write code, then wait days for a manual review, only to get feedback on code they've already forgotten. The process itself is just a big bottleneck, and causing you liability issues. You are losing time and money.
Axivion integrates directly into the IDE and CI/CD pipeline. Developers get instant feedback and see detailed explanations for any violation. They can fix issues immediately while the context is fresh, removing the review bottleneck entirely.
Can Axivion handle our legacy C++ and CUDA code?
- NVIDIA CUDA
Yes. This is a primary use case.
Axivion analyzes the code you actually have, not just new code. It's the perfect tool for baselining your existing projects against the new offical NVIDIA's CUDA C++ Safety Guidelines for Effective Safety-Critical Programming
With Axivion you'll start with getting verified with:
– All 49 rules from the NVIDIA CUDA C++ Safety Guidelines
– MISRA C++:2023 extended for GPU code
– AUTOSAR C++14 adapted for CUDA
– CERT security standards
– And your own custom rules.
Many teams find that this process immediately uncovers the root cause of software development issues they've been chasing for years.
Proof of Value: Your Code, Real Results
Stop evaluating tools on demo code. See what Axivion finds in your actual CUDA codebase.
In one workshop, discover:
– Architectural drift accumulated over years
– Compliance gaps creating liability
– Exact implementation path for your team
Get your system analyzed without relying on generic demos and benchmark code.
Download the Datasheet
All key technical specifications of Axivion for CUDA in one Datasheet.
CUDA's Impact on Static Code Analysis
CUDA code can be challenging due to its unique characteristics.
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Wake Up Call for Decision Makers
A strategic playbook created for leaders who strive for speed and safety through a proper compliance infrastructure.
Developer's Playbook
Mastering CUDA Code Quality
Our comprehensive guide by developers, for developers.
Everything you need to know to future-proof your CUDA projects.