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Agentic AI Compiler

Built for Accelerated AI Training And Deployment. Any Model, any Hardware – Fully automated Training & Deployment

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Hero Image

Agentic AI Compiler

Built for Accelerated AI Training And Deployment. Any Model, any Hardware – Fully automated Training & Deployment

Seen at the

event

Hero Image

Agentic AI Compiler

Built for Accelerated AI Training And Deployment. Any Model, any Hardware – Fully automated Training & Deployment

Seen at the

event

The Challenge

The Challenge

The Challenge

Today’s AI Development is Ineffective and Costly

Today’s AI Development is Ineffective and Costly

Today’s AI Development is Ineffective and Costly

Training and inference at scale are hindered by the challenges of manual optimization. This demanding process requires deep expertise and significant time, creating major hurdles in bringing AI solutions to production.

Training and inference at scale are hindered by the challenges of manual optimization. This demanding process requires deep expertise and significant time, creating major hurdles in bringing AI solutions to production.

Other clouds

Manual kernel tuning is slow and requires experts

Manual kernel tuning is slow and requires experts

Python overhead (Line by line execution) and generic kernels drag down training speed

Python overhead (Line by line execution) and generic kernels drag down training speed

Python overhead (Line by line execution) and generic kernels drag down training speed

Switching from NVIDIA to AMD (or any new chip) means rewriting code

Switching from NVIDIA to AMD (or any new chip) means rewriting code

Switching from NVIDIA to AMD (or any new chip) means rewriting code

Edge inference struggles with tight memory & power budgets

Edge inference struggles with tight memory & power budgets

Edge inference struggles with tight memory & power budgets

Cloud compute bills skyrocket due to inefficient training runs

Cloud compute bills skyrocket due to inefficient training runs

Cloud compute bills skyrocket due to inefficient training runs

Fragmented toolchains slow teams down

Fragmented toolchains slow teams down

Fragmented toolchains slow teams down

Push-button AI compilation – auto-generates kernels, eliminating hand-tuning.

Push-button AI compilation – auto-generates kernels, eliminating hand-tuning.

Push-button AI compilation – auto-generates kernels, eliminating hand-tuning.

Machine-code generation – compile layers directly to hardware.

Machine-code generation – compile layers directly to hardware.

Machine-code generation – compile layers directly to hardware.

Hardware-in-the-loop retargeting – one command rebuilds the model for any hardware

Hardware-in-the-loop retargeting – one command rebuilds the model for any hardware

Hardware-in-the-loop retargeting – one command rebuilds the model for any hardware

Ultra-light binaries – device-specific code generation

Ultra-light binaries – device-specific code generation

Ultra-light binaries – device-specific code generation

Speed-ups = lower spend – faster runs = fewer GPU-hours

Speed-ups = lower spend – faster runs = fewer GPU-hours

Speed-ups = lower spend – faster runs = fewer GPU-hours

One simple API – handles both training with few lines of code changes to adopt

One simple API – handles both training with few lines of code changes to adopt

One simple API – handles both training with few lines of code changes to adopt

Our Solution

Our Solution

Our Solution

Our Agentic Compiler That Adapts to Your model for any hardware

Our Agentic Compiler That Adapts to Your model for any hardware

Our Agentic Compiler That Adapts to Your model for any hardware

Where AI powers your AI

Where AI powers your AI

We dynamically tailor every layer of your neural network to the specific hardware you’re targeting, for both training and inference. Powered by intelligent AI agents. Our compiler analyzes model requirements and hardware details, whether it’s GPUs, CPUs, or specialized accelerators, to generate the most efficient runtime possible.


The result? Faster experiments, lower costs, and a seamless path to accelerated AI, without sacrificing performance.

Hardware agnostic model training and development.
Seamless cloud retraining integration.
from yasp.naics import client
from torch import nn
#Bring your own PyTorch model
model = nn.Sequential(
nn.Conv2d(1,20,5),
nn.ReLU(),
nn.Conv2d(20,64,5),
nn.ReLU()
)
# Configure your NAICS client
config = client.Configuration()
config.api_host = https://naics.yasp.ai“
config.api_token = YOUR_API_TOKEN
config.compilation_target = client.CompilationTarget.NVIDIA_A100 # Select the hardware to optimize for
config.optimize_backward_pass = True # Enable optimization of the backward pass, for training
# Submit your model to the NAICS platform
# Receive an optimized version of the model along with metadata on the compilation process.
optimized_model, summary = client.compile(model, config)
from yasp.naics import client
from torch import nn
#Bring your own PyTorch model
model = nn.Sequential(
nn.Conv2d(1,20,5),
nn.ReLU(),
nn.Conv2d(20,64,5),
nn.ReLU()
)
# Configure your NAICS client
config = client.Configuration()
config.api_host = https://naics.yasp.ai“
config.api_token = YOUR_API_TOKEN
config.compilation_target = client.CompilationTarget.NVIDIA_A100 # Select the hardware to optimize for
config.optimize_backward_pass = True # Enable optimization of the backward pass, for training
# Submit your model to the NAICS platform
# Receive an optimized version of the model along with metadata on the compilation process.
optimized_model, summary = client.compile(model, config)
from yasp.naics import client
from torch import nn
#Bring your own PyTorch model
model = nn.Sequential(
nn.Conv2d(1,20,5),
nn.ReLU(),
nn.Conv2d(20,64,5),
nn.ReLU()
)
# Configure your NAICS client
config = client.Configuration()
config.api_host = https://naics.yasp.ai“
config.api_token = YOUR_API_TOKEN
config.compilation_target = client.CompilationTarget.NVIDIA_A100 # Select the hardware to optimize for
config.optimize_backward_pass = True # Enable optimization of the backward pass, for training
# Submit your model to the NAICS platform
# Receive an optimized version of the model along with metadata on the compilation process.
optimized_model, summary = client.compile(model, config)

Core Technologies

Core Technologies

Core Technologies

Technologies That Set Us Apart

Technologies That Set Us Apart

Technologies That Set Us Apart

We use cutting-edge technology to drive innovation, efficiency, and security—giving you a competitive edge in a fast-changing world.

Hardware-in-the-Loop Optimization

Automatically measures real-time performance on your target device, using cost models, then fine-tunes each layer to maximize speed and efficiency, no matter which GPU, CPU, or accelerator you use.

Hardware-in-the-Loop Optimization

Automatically measures real-time performance on your target device, using cost models, then fine-tunes each layer to maximize speed and efficiency, no matter which GPU, CPU, or accelerator you use.

Hardware-in-the-Loop Optimization

Automatically measures real-time performance on your target device, using cost models, then fine-tunes each layer to maximize speed and efficiency, no matter which GPU, CPU, or accelerator you use.

Agentic AI Optimization Pass

The result is an automated, self-improving optimization process that boosts performance with minimal user effort such as kernel fusion, quantization, etc.

Agentic AI Optimization Pass

The result is an automated, self-improving optimization process that boosts performance with minimal user effort such as kernel fusion, quantization, etc.

Agentic AI Optimization Pass

The result is an automated, self-improving optimization process that boosts performance with minimal user effort such as kernel fusion, quantization, etc.

Compound AI System for Code Generation

Leverages powerful AI Agents to produce specialized machine code for your framework and hardware, delivering best-in-class execution without sacrificing your existing workflow.

Compound AI System for Code Generation

Leverages powerful AI Agents to produce specialized machine code for your framework and hardware, delivering best-in-class execution without sacrificing your existing workflow.

Compound AI System for Code Generation

Leverages powerful AI Agents to produce specialized machine code for your framework and hardware, delivering best-in-class execution without sacrificing your existing workflow.

Get ready to scale your Compiler

Agentic AI Compiler for Accelerated
AI Training And Deployment

Get ready to scale your Compiler

Agentic AI Compiler for Accelerated
AI Training And Deployment

Get ready to scale your Compiler

Agentic AI Compiler for Accelerated
AI Training And Deployment

Key Differentiators

Key Differentiators

Key Differentiators

What makes yasp different

What makes yasp different

One-Line Integration

Seamless integration into your existing workflow with a simple API call with no need to rewrite your model or change your tools.

One-Line Integration

Seamless integration into your existing workflow with a simple API call with no need to rewrite your model or change your tools.

One-Line Integration

Seamless integration into your existing workflow with a simple API call with no need to rewrite your model or change your tools.

Optimize Any Model Instantly

Whether you’re training a custom architecture or fine-tuning an off-the-shelf model, naio.ai automatically optimizes it for your target hardware.

Optimize Any Model Instantly

Whether you’re training a custom architecture or fine-tuning an off-the-shelf model, naio.ai automatically optimizes it for your target hardware.

Optimize Any Model Instantly

Whether you’re training a custom architecture or fine-tuning an off-the-shelf model, naio.ai automatically optimizes it for your target hardware.

Performance Without Complexity

Get the speed of hand-tuned kernels without the effort. Naio handles the low-level optimization so you can stay focused on building and experimenting.

Performance Without Complexity

Get the speed of hand-tuned kernels without the effort. Naio handles the low-level optimization so you can stay focused on building and experimenting.

Performance Without Complexity

Get the speed of hand-tuned kernels without the effort. Naio handles the low-level optimization so you can stay focused on building and experimenting.

Seamless Hardware Deployment

Once training is complete, our agentic compiler generates inference for your target hardware, eliminating the need for manual tuning or device-specific code.

Seamless Hardware Deployment

Once training is complete, our agentic compiler generates inference for your target hardware, eliminating the need for manual tuning or device-specific code.

Seamless Hardware Deployment

Once training is complete, our agentic compiler generates inference for your target hardware, eliminating the need for manual tuning or device-specific code.