Hiverge Algorithm Optimizer uses distributed AI agents to deliver production-ready code, breaking the CIFAR-10 speedrun world record for researchers and engineers.
Hiverge empowers researchers, data scientists, and engineers to unlock new levels of algorithmic performance. Founded by world-class experts from Google DeepMind and the University of Cambridge, Hiverge uses a distributed network of AI agents to automate and accelerate algorithm optimization - delivering results that manual tuning, AutoML platforms, or general-purpose code-generation LLMs cannot match.
Unlike single-model approaches, Hiverge's swarm of specialized agents explores vast solution spaces in parallel, sharing results and recombining ideas through an iterative feedback loop. This architecture achieves broader coverage and faster convergence than sequential optimization methods.
How It Works
Submit your baseline code - Provide your algorithm, evaluation metrics, and compute constraints
Agents explore solutions - A distributed swarm generates diverse algorithmic variants, tests each candidate in a sandbox, and scores against your metrics
Receive production-ready code - Get deployable, readable, optimized code ready for integration
Key Features and Benefits
Automated optimization of user-provided algorithms across diverse domains
Accepts baseline code, evaluation metrics, and compute constraints as input
Samples prior solutions and patterns to suggest code improvements
Generates diverse algorithmic variants via a swarm of AI agents
Iterative feedback loop where agents share results and recombine ideas
Sandbox testing and scoring of each candidate algorithm against user metrics
Delivers deployable, understandable code ready for production use
Supported Domains
Inference and compute optimization
Quantum computing and quantum chemistry
Data center and network engineering
Megascale planning, routing, and scheduling
Algorithmic trading
Physics and mathematics
AWS Integration
Hiverge integrates with AWS services including Amazon S3 for code and data storage and Amazon SageMaker for model training workflows. Results can be deployed directly into your existing AWS infrastructure.
Proven Results
Hiverge broke the CIFAR-10 training speedrun world record, demonstrating the platform's ability to discover algorithmic improvements that surpass human-engineered solutions. The platform has delivered proven performance breakthroughs with key players in Compute and Inference.
Getting Started
After subscribing through AWS Marketplace, you will receive access to the Hiverge platform where you can submit your first optimization job. To schedule a discovery call or request a guided pilot, contact the Hiverge team directly.
Requirements and Limitations
Buyers should be aware of the following scope boundaries:
Supported input: algorithm source code with defined evaluation metrics
Compute constraints must be specified for each optimization run
Optimization results depend on the quality of baseline code and evaluation criteria provided
Platform availability and specific language support details are available upon request
Security and Data Handling
Hiverge transmits all data encrypted in transit. Submitted code and optimization results are handled with confidentiality as a core principle. For detailed information about tenant isolation, data retention policies, and compliance certifications, please contact the Hiverge team.
Highlights
Distributed AI agent swarm explores solution spaces in parallel - unlike manual tuning or single-model AutoML tools, Hiverge's agents share results and recombine ideas through iterative feedback loops, achieving broader coverage and faster convergence to deliver production-ready, readable code you can deploy immediately.
One-click optimization for quantum computing, megascale planning, algorithmic trading, network engineering, and inference workloads - submit your baseline code, evaluation metrics, and compute constraints, and receive deployable optimized algorithms without weeks of manual engineering effort.
Broke the CIFAR-10 training speedrun world record, demonstrating the ability to discover algorithmic improvements that surpass human-engineered solutions. Founded by experts from Google DeepMind and the University of Cambridge, Hiverge has delivered proven performance breakthroughs with key players in Compute and Inference.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Your cost combines two separate charges. The Platform fee gives you access to the Hive platform, including its latest features, plus platform support and maintenance. The Usage fee bills the Hive per unit, so this portion scales with how much you use. Together, one covers access and the other covers consumption. Both are priced in units under a contract. The vendor offers custom arrangements for the platform fee, so you can reach out to discuss options that fit your needs.
Top-of-mind questions for buyers
What does one unit of the Usage fee represent for billing?
The Usage fee bills per unit of Hive usage. The Hive runs multiple agents in parallel to optimise your code against concrete metrics, such as faster AI training or solving combinatorial optimisation problems. Each unit measures your consumption of this optimisation work. For a precise unit definition tied to your workload, contact the vendor.
How do the Platform fee and Usage fee combine on my bill?
Both charges appear together under one contract. The Platform fee covers access to the Hive platform, its latest features, plus support and maintenance. The Usage fee scales with how much optimisation work you run. The Platform fee stays steady, while the Usage fee rises or falls with consumption. Both bill in units.
Does my cost change if I run less optimisation work in a period?
The Usage fee scales with your Hive usage, so running less optimisation work lowers that portion of your bill. The Platform fee covers platform access, support, and maintenance and does not track consumption. You can reach out to the vendor for custom Platform fee arrangements.
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Support
Vendor support
Hiverge Support
For support with Hiverge, please email support@hiverge.ai. Support is available during business hours.
Website: General inquiries and product guidance available through the Hiverge website
Scope of Support:
Product usage guidance and onboarding assistance
Troubleshooting optimization jobs and platform issues
Integration questions and technical configuration
Refund requests and billing inquiries
Getting Started:
After subscribing through AWS Marketplace, contact the Hiverge team to schedule onboarding assistance or a guided pilot of the platform. The team can help you configure your first optimization run and answer questions about input requirements.
Discovery Calls:
To discuss your specific use case, request a demo, or explore a pilot engagement, reach out to the Hiverge team via email. Enterprise buyers can request a dedicated consultation to evaluate fit for their optimization workloads.
For urgent production-blocking issues, please indicate the severity in your email subject line to help prioritize your request.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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