The Falcoscan Intel Panel/VLLM Open Source · AI Models
Live market data
Opportunity
75
Strong/ 100
Saturation
31
Open/ 100
Wrapper Risk
6
Open/ 100
Signal
Hot
Market trend
Rating
4.5
of 5 · Falcoscan rating
The Brief
What VLLM Open Source does
vLLM uses PagedAttention to maximize GPU memory utilization for serving LLMs with high throughput.
Builder’s Brief
VLLM Open Source is an ai models tool on Falcoscan. Fast and memory-efficient LLM serving. Falcoscan rates VLLM Open Source with an Opportunity score of 75/100, a Saturation score of 31/100, and a Wrapper-risk score of 6/100. Market signal: hot. VLLM Open Source is founded in 2020, currently at Series_a stage. Pricing: Free. Falcoscan rating 4.5/5.
Market position · AI Models
How VLLM Open Source compares in AI Models
VLLM Open Source's opportunity score of 75 ranks #111 of 313 live AI Models tools on Falcoscan, 2.1 points above the category average of 72.9. Its saturation score is 31/100, against a category average of 30.5. 187 of the 313 live AI Models tools carry a hot signal, and Falcoscan has recorded 38 shutdowns in the category.
VLLM Open Source compared with top-rated AI Models tools
Yes. Falcoscan lists VLLM Open Source as free to use.
What are the best alternatives to VLLM Open Source?
The top-rated live AI Models tools on Falcoscan, other than VLLM Open Source, are Hugging Face Hub, Anthropic API, Claude 3.5 Sonnet, Groq, and Anthropic Claude API.
Where is VLLM Open Source based?
VLLM Open Source is headquartered in Berkeley, United States.