Benefits
Benefits
Smaller, Faster, Cheaper, Greener AI
In machine learning, model complexity often leads to slower inference times, higher computational
Smaller, Faster, Cheaper, Greener AI
In machine learning, model complexity often leads to slower inference times, higher computational
Smaller, Faster, Cheaper,
Greener AI
In machine learning, model complexity often leads to slower inference times, higher computational
Compact Models, Big Impact
Model size directly impacts deployability. Large models with excessive parameters require significant memory and computational resources. By employing compression techniques like pruning and quantization, you can reduce model size without affecting its ability to perform complex tasks.
Compact Models, Big Impact
Model size directly impacts deployability. Large models with excessive parameters require significant memory and computational resources. By employing compression techniques like pruning and quantization, you can reduce model size without affecting its ability to perform complex tasks.
Compact Models, Big Impact
Model size directly impacts deployability. Large models with excessive parameters require significant memory and computational resources. By employing compression techniques like pruning and quantization, you can reduce model size without affecting its ability to perform complex tasks.
1/3
Smaller
1/3
Smaller
Accelerated Inference for Real-Time Apps
Speed is essential in today’s AI-driven landscape, particularly for real-time applications like autonomous systems, recommendation engines, and edge computing. Compressed models not only take up less space but also execute faster, reducing inference time dramatically.
Accelerated Inference for Real-Time Apps
Speed is essential in today’s AI-driven landscape, particularly for real-time applications like autonomous systems, recommendation engines, and edge computing. Compressed models not only take up less space but also execute faster, reducing inference time dramatically.
Accelerated Inference for Real-Time Apps
Speed is essential in today’s AI-driven landscape, particularly for real-time applications like autonomous systems, recommendation engines, and edge computing. Compressed models not only take up less space but also execute faster, reducing inference time dramatically.
4x
Faster
4x
Faster
Lower Your Compute Costs, Scale More Efficiently
With machine learning models growing in size and complexity, the associated cloud compute and hardware costs are escalating. Compression reduces computational overhead in two key ways: first, by making the model faster, you use the hardware for less time, reducing renting costs. Second, when the model is small enough, it fits into a smaller, less expensive instance—both while maintaining performance.
Lower Your Compute Costs, Scale More Efficiently
With machine learning models growing in size and complexity, the associated cloud compute and hardware costs are escalating. Compression reduces computational overhead in two key ways: first, by making the model faster, you use the hardware for less time, reducing renting costs. Second, when the model is small enough, it fits into a smaller, less expensive instance—both while maintaining performance.
Lower Your Compute Costs, Scale More Efficiently
With machine learning models growing in size and complexity, the associated cloud compute and hardware costs are escalating. Compression reduces computational overhead in two key ways: first, by making the model faster, you use the hardware for less time, reducing renting costs. Second, when the model is small enough, it fits into a smaller, less expensive instance—both while maintaining performance.
1/3
Cheaper
1/3
Cheaper
Sustainability Through Efficiency
AI models consume significant energy, especially when deployed at scale. Compression doesn’t just make models smaller and faster—it also makes them greener. By reducing the computational power and energy required to run models, you reduce your carbon footprint. Additionally, with less strain on the hardware, it lasts longer, reducing the need for frequent replacements.
Sustainability Through Efficiency
AI models consume significant energy, especially when deployed at scale. Compression doesn’t just make models smaller and faster—it also makes them greener. By reducing the computational power and energy required to run models, you reduce your carbon footprint. Additionally, with less strain on the hardware, it lasts longer, reducing the need for frequent replacements.
Sustainability Through Efficiency
AI models consume significant energy, especially when deployed at scale. Compression doesn’t just make models smaller and faster—it also makes them greener. By reducing the computational power and energy required to run models, you reduce your carbon footprint. Additionally, with less strain on the hardware, it lasts longer, reducing the need for frequent replacements.
3x
Greener
3x
Greener
Example on a Stable Diffusion image generation model, full evaluation & model available on Hugging Face
Customers & Sponsors
Customers & Sponsors
Customers & Sponsors
Why Pruna AI?
Why Pruna AI?
Our optimization engine stands apart because it is grounded in decades of research and built with flexibility and scalability in mind.
Proven Expertise
270+ published papers at NeurIPS, ICML, ICLR...
Universal Compatibility
Any method, any hardware.
Flexible Approach
A single technique or combination of methods.
Hardware Agnostic
All chips - cloud, on-prem, or at the edge.
Proven Expertise
270+ published papers at NeurIPS, ICML, ICLR...
Universal Compatibility
Deep expertise in AI efficiency & research .
Flexible Approach
A single technique or combination of methods.
Hardware Agnostic
All chips - cloud, on-prem, or at the edge.
Proven Expertise
270+ published papers at NeurIPS, ICML, ICLR...
Universal Compatibility
Any method, any hardware.
Flexible Approach
A single technique or combination of methods.
Hardware Agnostic
All chips - cloud, on-prem, or at the edge.
Stop Wasting Time, Money & the Planet
Inefficient models waste resources, drive up costs, and harm the environment. Optimize with us—saving on all fronts while making a difference.
Stop Wasting Time, Money & the Planet
Inefficient models waste resources, drive up costs, and harm the environment. Optimize with us—saving on all fronts while making a difference.
Stop Wasting Time, Money & the Planet
Inefficient models waste resources, drive up costs, and harm the environment. Optimize with us—saving on all fronts while making a difference.
© 2024 Pruna AI - Built with Pretzels & Croissants 🥨 🥐
© 2024 Pruna AI - Built with Pretzels & Croissants 🥨 🥐
© 2024 Pruna AI - Built with Pretzels & Croissants
