Fast, Efficient Inference
Future-proof your AI strategy
Use any model, any cloud, any accelerator
Get results up to 3x faster and 80% cheaper
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Maximum Speed and Efficiency
CentML is the only full-stack solution that optimizes all layers of your AI — from application to silicon. Lower the cost of your outputs by up to 10X with our efficient platform that delivers faster response times without compromising accuracy.
Unlimited Flexibility and Control
Stay current with industry-leading models, accelerators, and hardware — with no vendor lock-in. Experiment with leading open-source LLMs on our secure platform. Upgrade your deployments with a single click.
Automatically Scale to Any Workload
Take advantage of advanced inference optimizations like pipeline and tensor parallelism, speculative decoding, and quantized kernels. Get auto-scaling, cost management, and scenario planner tools to support any use case.
Get peak performance with CentML's full-stack of advanced optimizations from application to silicon
Lower inference costs by up to 10x with faster response times - without compromising model accuracy
Automated Optimizations
- Pipeline
Parallelism - Tensor
Parallelism - Speculative
Decoding - Continuous
Batching - Paged
Attention - AWQ/GPTQ Quantization
- Faster
MOE - Faster Quantized
Kernels
Keep control over your AI infrastructure stack with full flexibility across models, vendors and accelerators and zero lock-in commitments
Stay current with industry-leading models and hardware pricing and upgrade your deployments with a single click on our secure platform
CentML Integrations
Models Supported
- Mixtral
- Wan-Ai
- Qwen
- CodeLlaMa
- Falcon
- LlaMa
- Hugging Face
- Gemma
- Microsoft PHI
- DeepSeek
- Bring Your Own
Cloud Integration
- Nebius
- GCP
- AWS
- Azure
- OCI
- CoreWeave
- Crusoe
- Vultr
- Lambda
- CentML Serverless
- Bring Your Own
Accelerators
- NVIDIA GPUs
- AWS Inferentia Chips
- Google TPUs
- AMD GPUs
- Intel Gaudi Accelerators
Save time and costs on resource management with CentML's build-in cost management optimizer
Get auto-scaling, cost management and scenario planner tools to automatically configure and adjust your hardware settings to fit your AI workloads in real time
- GPU Autoscaling
- Scenario Planner
- Concurrency Manager
Testimonials
Technologies you are developing will revolutionize Deep Learning optimization and capacity availability.
Misha Bilenko
VP of AI @ Microsoft Azure
Software is King. Architecture without a good compiler is like a race car without a good driver. I'm excited to be advising a company that is helping push the state-of-the-art in ML as well as help with reductions in carbon emissions.
David Patterson
Distinguished Engineer @ Google
With the breakneck pace of generative AI, we're always looking for an edge to stay ahead of the competition. One main focus is optimizing our API-as-a-Service for speed and efficiency, to provide the best experience for our customers. CentML assisted Wordcab with a highly personalized approach to optimizing our inference servers. They were patient, attentive, and transparent, and worked with us tirelessly to achieve inference speedups of 1.5x to 2x.
Aleks Smechov
CEO & Co-founder @ Wordcab
The most innovative Deep Learning is usually coded as a sequence of calls to large general purpose libraries. Until recently we had little or no sophisticated compiler technology that could transform and optimize such code, so the world depended on library maintainers to manually tune for each important DL paradigm and use case. Recently compilers have begun to arrive. Some are too low level and others are too specialized to high level paradigms. CentML's compiler tech is just right -- powerful, flexible, and impactful for training and inference optimization.
Garth Gibson
Former CEO & President @ Vector Institute
Amazing team, conducting cutting edge work that will revolutionize the way we are training and deploying large-scale deep learning systems.
Ruslan Salakhutdinov
CMU Professor
With CentML's expertise, and seamless integration of their ML monitoring tools, we have been able to optimize our research workflows to achieve greater efficiency, thereby reducing compute costs and accelerating the pace of our research.
Graham Taylor
Vector Institute for Artificial Intelligence
The proliferation of generative AI is creating a new base of developers, researchers, and scientists seeking to use accelerated computing for a host of capabilities. CentML's work to optimize AI and ML models on GPUs in the most efficient way possible is helping to create a faster, easier experience for these individuals.
Vinod Grover
Senior Distinguished Engineer and Director of CUDA and Compiler Software at NVIDIA
CentML's compiler technology is proven to deliver impressive training and inference optimizations. We anticipate these solutions will bring significant benefits for our ML model development efforts, helping us best serve our customers.
Tamara Steffens
TR Ventures Managing Director