CentML
About CentML
CentML provides automated compute optimizations for large language model (LLM) deployment, enabling organizations to reduce serving costs by over 50% and deployment time from weeks to minutes. Their technology enhances GPU resource utilization and memory management, allowing larger models to run efficiently on budget-friendly hardware.
```xml <problem> Deploying large language models (LLMs) for inference and training is complex and costly, often requiring expensive, specialized hardware and extensive manual optimization. Existing solutions may not be readily adaptable to diverse hardware setups or optimized for specific performance and cost constraints. </problem> <solution> CentML provides automated compute optimizations for large language model (LLM) deployment, enabling organizations to reduce serving costs and deployment time. The platform offers tools for single-click resource sizing and model serving, optimizing model performance across various deployment options, including budget-friendly hardware. CentML's solutions include advanced memory optimization techniques to fit larger models on affordable GPUs, customized model training workflows for specific applications, and streamlined deployment planning. </solution> <features> - Automated compute optimization for LLM deployment, reducing serving costs by up to 65%. - Single-click resource sizing and model serving with CentML Planner. - Advanced memory optimization techniques to enable larger models on affordable GPUs. - Customized model training workflows for specific applications, improving training times and throughput. - Compatibility with various open-source LLMs, including Llama, Falcon, and Mistral. - Support for continuous batching, token streaming, and paged attention. - Tensor and pipeline parallelism capabilities. - Model quantization support. - CServe framework for optimizing LLM deployment for different scenarios. </features> <target_audience> CentML primarily targets enterprises and AI/ML developers seeking to optimize the performance, cost, and deployment time of large language models. </target_audience> ```
What does CentML do?
CentML provides automated compute optimizations for large language model (LLM) deployment, enabling organizations to reduce serving costs by over 50% and deployment time from weeks to minutes. Their technology enhances GPU resource utilization and memory management, allowing larger models to run efficiently on budget-friendly hardware.
Where is CentML located?
CentML is based in Toronto, Canada.
When was CentML founded?
CentML was founded in 2022.
How much funding has CentML raised?
CentML has raised 30920000.
Who founded CentML?
CentML was founded by Akbar Nurlybayev and Gennady Pekhimenko.
- Akbar Nurlybayev - Co-founder/COO
- Gennady Pekhimenko - CEO/Co-Founder
- Location
- Toronto, Canada
- Founded
- 2022
- Funding
- 30920000
- Employees
- 50 employees
- Major Investors
- Gradient