Pricing

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.

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

STEP 1 : Swiftask agent configuration

Create your AI agent via Swiftask's no-code interface, defining tasks that require high compute power.

STEP 2 : Cerebras connector activation

Integrate Cerebras as the main execution engine for intensive workflows in your agent settings.

STEP 3 : Performance threshold definition

Set optimization criteria (speed vs. precision) to tailor Cerebras resource usage to your needs.

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

1. Tenfold execution speed

Drastically reduce wait times for complex AI responses.

2. Simplified scaling

Handle growing data volumes without compromising the performance of your tools.

3. Resource efficiency

Optimize your AI infrastructure usage for better ROI.

4. Fluid user experience

Provide instant answers to your customers thanks to minimal latency.

5. 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.