Does Ollama or FuriosaAI have a free plan?

Ollama is available for free. FuriosaAI is a paid tool. Always verify current pricing directly with the vendor.

Ollama vs FuriosaAI

Q: Can I use Ollama and FuriosaAI together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Ollama and FuriosaAI with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

Ollama

Ollama Inc.

Start building with open models on your local machine or in the cloud.

0.0(0)

FREEMIUM

95% data quality

FuriosaAI

Powerfully efficient AI inference for enterprise and cloud data centers.

0.0(0)

ENTERPRISE

84% data quality

Trust & Reliability

Ollama

Trust data not available yet

FuriosaAI

Customers (per vendor):Kakao, LG U+

Overall Winner: Ollama

7.5/10 vs FuriosaAI at 6.0/10

Leads in:

Value for Money

Support

Ease of Use

AI Comparison Summary

Ollama

7.5

avg score

FuriosaAI

6.0

avg score

Ollama leads overall — particularly in Ease of Use and Value for Money.

Based on 6 dimensions

How scores are calculated

Overall Winner

Ollama

7.5 / 10

Ollama

Best For

Running large language models locally for privacy and control

Integrating open-source LLMs into custom applications

Automating coding and development tasks

Performing document analysis and RAG with local models

Not Ideal For

Users who require a fully managed, no-code AI solution without any technical setup.

Organizations needing immediate, robust enterprise-grade team management and SSO.

Users who only want to interact with proprietary, closed-source models without local deployment options.

FuriosaAI

Best For

Deploying large language models in data centers

Accelerating multimodal AI inference workloads

Optimizing computer vision applications at scale

Building high-performance AI infrastructure for enterprises

Not Ideal For

Individuals or small teams without significant AI infrastructure needs

Users seeking a simple, off-the-shelf SaaS AI solution

Applications requiring only basic CPU/GPU inference

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Ollama is best for

🤖Automation & Agents8.0🎧Customer Support8.0✍️Writing & Content7.0

FuriosaAI is best for

✍️Writing & Content6.0💻Coding & Dev6.0💬Chat & Conversation6.0

Filter by your use case:

Pros & Cons

Ollama

Pros

Allows running models locally, ensuring data privacy
Supports a wide range of open-source models
Provides CLI, API, and desktop applications for flexibility
Extensive community integrations (40,000+)
Offers cloud access for larger models and faster processing
Free tier provides unlimited local model usage

Cons

Cloud features and private models are limited in the free and lower-paid tiers.
Performance of local models depends heavily on user's hardware.
Team and enterprise plans are 'coming soon,' indicating current limitations for larger organizations.
Concurrency limits for cloud models on paid plans.

FuriosaAI

Pros

Radically efficient 180W power profile for data centers
High-performance LLM and multimodal deployment capabilities
Unique Tensor Contraction Processor architecture for superior efficiency
Comprehensive software stack simplifies model optimization and deployment
Robust ecosystem support including PyTorch and Hugging Face Hub
Cloud-native toolkit with Kubernetes integration for flexible deployments

Cons

Primarily a hardware-centric solution, requiring specialized NPU hardware
Steep learning curve for developers unfamiliar with NPU programming
Limited public pricing information, likely requiring direct sales contact
Focus on inference, not explicitly on training workloads
Requires integration into existing data center or cloud infrastructure

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Ollama

7.5

/ 10

Clear winner

FuriosaAI

6.0

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Ollama

7.0▲ +4.0

FuriosaAI

3.0

Output Quality

Quality and accuracy of generated results

Ollama

7.0

FuriosaAI

7.0

Value for Money

Cost vs. features and output quality

Ollama

8.0▲ +3.0

FuriosaAI

5.0

Customizability

Calculated

Ability to tailor to specific needs

Ollama

7.0▲ +1.0

FuriosaAI

6.0

Support & Ecosystem

Documentation, community, and support quality

Ollama

8.0▲ +1.0

FuriosaAI

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Ollama

8.0

FuriosaAI

8.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Ollama

Task

FuriosaAI

7.0

Code Completion

6.0

Bug Detection

5.0

7.0

Code Explanation

7.0

6.0

Refactoring

6.0

5.0

Test Generation

4.0

8.0

Multi Language Support

5.0

7.0

Context Understanding

6.0

Documentation Generation

7.0

5.0

Performance Optimization

8.0

4.0

Security Scanning

6.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Ollama or FuriosaAI?

Both are strong options. Ollama has a rating of 0.0/5 (0 reviews), while FuriosaAI has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Ollama cheaper than FuriosaAI?

Ollama starts at free (freemium model). FuriosaAI starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Ollama and FuriosaAI?

Ollama — "Start building with open models on your local machine or in the cloud.". FuriosaAI — "Powerfully efficient AI inference for enterprise and cloud data centers.". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Ollama and FuriosaAI together?

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