PARTNERSHIPS & INTEGRATIONS
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Deploy Parallel Code To Harness The Full Value Of Your GPUs/CPUs & Drive Down Costs
Some Usecases
LLM Training
Running Inference
On Trained Models
Distributed deep
learning
The Challenge
The exponential rise of generative AI technology has created unprecedented demand for GPUs, which current supply is struggling to keep up with.
To address this AI developers need to use their GPU capacity more efficiently. Traditional sequential programming does not fully utilize the computational power available from modern multi-core GPUs. This results in underperformance, where the potential of the hardware is not fully exploited, leading to slower processing times and increased operational costs.
How we solve it
ParallelAI is an advanced AI language platform to improve the use of compute resources. Made for businesses facing performance issues, ParallelAI uses cutting-edge parallel processing techniques to increase efficiency, helping organizations get more done while reducing the need for large infrastructures.
Some Usecases
LLM Training
Running Inference
On Trained Models
Distributed deep
learning
20x Faster with
20x
Faster Computation
30s
Typical Task Completion Time
10min
Traditional Completion Time
ParallelAl's innovative execution model delivers unparalleled processing speeds, slashing computation times by up to 20x. A task that would typically take 10 minutes can now be completed in 30 seconds.
Automatic Parallelization
Every operation capable of running in parallel does seamlessly, without explicit instructions.
Maximized Performance
The full potential of both CPU and GPU cores, solving problems in a fraction of the time.
Intuitive Coding
Write high-level, Python-like code without the complexities of parallel programming.
ARCHITECTURE BRIEF
Parallel Code Transformation
ParallelAI masterfully combines efficiency, scalability, and precision in a framework designed to optimize parallel processing and enhance computational performance.
ParallelAIEngineX
Language Model Layer
Transformation of high-level programming constructs into optimized parallel code.
RetrievalAugmentX
Library Embedding Graph
Synchronisation process by continuously updating the latest code optimizations.
CodeGenX
Application Layer
Interfaces with the AI Engine to generate and display optimized Bend code.
GPUHostX
GPU Hosting Layer
Specialized GPU hosting optimized for high-performance computing.
Industry Accelerator
Accelerate computing tasks across various industries with ParallelAI, ensuring maximum efficiency and superior performance in real-time.
Multi-threading & Multi-processing
Efficient Concurrency utilizes multiple threads
Scalable Machine Learning
Enhances the training of AI neural networks
Map Reduce
Process large data sets with a distributed algorithm
Gaming & Content Rendering
Accelerates rendering production workflows
Data Processing
Faster data analysis and decision-making
Node & Mining Operations
Improves the efficiency of mining operations
Our Roadmap
Our Commitment to Evolution and Excellence
FAQ
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