Accelerate your AI workflows with Cerebras compute power
Swiftask connects your AI agents to Cerebras compute engines. Get complex results in a fraction of the usual time.
Result:
Gain execution speed and process larger AI data volumes without latency.
AI Agents
cerebras
Connector cerebras · Secure OAuth 2.0
Latency is slowing down your AI innovation
Modern AI workflows are resource-intensive. Using standard infrastructure often leads to bottlenecks, increasing response times and limiting the complexity of tasks your agents can handle daily.
Main negative impacts:
Excessive processing times
Running complex models on traditional architectures creates queues that hinder your team's productivity.
Limited scalability
As your AI needs grow, your current workflows struggle to scale, limiting your growth ambitions.
High operational costs
Maintaining inefficient processes unnecessarily consumes resources and increases the total cost of ownership of your AI solutions.
Swiftask partners with Cerebras' high-performance infrastructure to optimize your AI workflows. You benefit from optimized compute power to transform heavy processes into fluid, instant operations.
BEFORE / AFTER
What changes with Swiftask
Standard AI infrastructure
Your AI agents process complex requests on standard servers. Inference time is high, processes pile up, and the final user experience is degraded by slow response times.
Swiftask + Cerebras
The Cerebras compute engine handles intensive tasks. Your workflows are executed with ultra-low latency, enabling real-time responsiveness even on massive AI models.
Deploying your optimized workflows in 4 steps
1
STEP 1 : Swiftask agent configuration
Create your AI agent via Swiftask's no-code interface, defining tasks that require high compute power.
2
STEP 2 : Cerebras connector activation
Integrate Cerebras as the main execution engine for intensive workflows in your agent settings.
3
STEP 3 : Performance threshold definition
Set optimization criteria (speed vs. precision) to tailor Cerebras resource usage to your needs.
4
STEP 4 : Monitoring and adjustment
Track performance gains and latency reduction in real-time via the Swiftask analytics dashboard.
Cerebras integration capabilities
The agent intelligently analyzes the required compute load and delegates heavy tasks to Cerebras to ensure optimal execution.
- Target connector: The agent performs the right actions in cerebras based on event context.
- Automated actions: High-speed LLM request execution. Parallel processing of large documents. Real-time data analysis. Automatic inference latency optimization.
- Native governance: Swiftask orchestrates the workflow, while Cerebras provides the raw power needed for performance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-cerebras@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Strategic advantages for your operations
Tenfold execution speed
Drastically reduce wait times for complex AI responses.
Simplified scaling
Handle growing data volumes without compromising the performance of your tools.
Resource efficiency
Optimize your AI infrastructure usage for better ROI.
Fluid user experience
Provide instant answers to your customers thanks to minimal latency.
Mastered complexity
Deploy agents capable of handling tasks you previously deemed too heavy.
Sovereignty and secure performance
Swiftask applies enterprise-grade security standards for your cerebras automations.
- Secure integration: Data transfer between Swiftask and Cerebras is encrypted and adheres to security standards.
- Centralized governance: Maintain full control over access and usage via the Swiftask platform.
- Processing compliance: Your workflows comply with your company's privacy policies.
- Infrastructure reliability: Benefit from a robust architecture designed for mission-critical workloads.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Key performance indicators
| Metric | Before | After |
|---|---|---|
| Inference latency | Seconds to minutes | Milliseconds |
| Processing volume | Hardware-limited | Near-unlimited scalability |
| Agent response time | Variable and slow | Constant and ultra-fast |
| Cost per request | High (inefficient) | Optimized (performance-driven) |
Take action with cerebras
Gain execution speed and process larger AI data volumes without latency.