Blazing fast inference. Hardware portability. Full stack control.

Customize performance down to the kernel, while deploying seamlessly across GPU vendors without code rewrites.

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Full stack control
Control execution from models to kernels, with clear performance visibility.
Full customization
Use fine-tuned weights and custom models without workflow changes.
Deep Observability
Low-level telemetry reveals bottlenecks and optimization opportunities.
Portability across hardware
Run on hardware that optimizes price, availability, and performance.

Modular vs. Alternatives

Too much expertise required
Self Managed
Too much expertise required
- Expensive MLOps team
- Custom optimizations require CUDA experts ($200k-300k/year)
- NVIDIA-only code limits hardware flexibility
- compute contract nightmares
The sweet spot
The sweet spot
- Customize your performance easily, down to the kernel
- Scale seamlessly without an MLOps team
- Same code runs on NVIDIA + AMD
- Deep observability to know what’s working
Cookie cutter offering (no control):
Inference Endpoints
Cookie cutter offering (no control):
- Black-box optimizations you can't customize
- Waiting on vendor roadmap for your needs
- No visibility into performance bottlenecks

Why Modular outperforms

Advanced Compiler
Kernel fusion and dynamic batching optimized for code generation patterns
Efficient Runtime
90% smaller containers enable faster scaling and lower infrastructure overhead
Intelligent Batching
Adapts to real-world traffic spikes during business hours
Hardware arbitrage
Execute workloads on the right hardware for the task at hand.
Granular metrics and dashboards
Fine-grained visibility into performance, usage, and more, making issues easy to spot.
Forward deployed engineering support
Engineers work directly with your team to deploy, tune, and operate systems.

Deploy in Modular’s Cloud

We’ll handle the autoscaling of your traffic across hardware. Our AI infrastructure runs across NVIDIA and AMD without code changes, so future flexibility is also baked in.

Supported hardware:

Full production support for the following NVIDIA GPUs
- H100
- A100
- L40S
- L4
Full production support for the following AMD GPUs
- MI355X
- MI300X
- MI250X
- MI210
Achieve 30-60% lower costs with Modular on AMD hardware - Read More

Coming soon:

Custom accelerators - let us know what you want!

Hardware Independence = Business Resilience

Why Portability Matters to Your Business:

Negotiation Power
Not locked to single GPU vendor. AMD offers 30-60% cost savings. Better supply availability.
Risk Mitigation
No single point of failure. Multi-cloud without complexity. Platform vendor independence.

Deployment Flexibility:

Our Cloud or Yours
Deploy on our cloud or in your own environment, with the same capabilities and performance.
See Deployment Options

Why teams are switching to Modular

“~70% faster compared to vanilla vLLM”

"Our collaboration with Modular is a glimpse into the future of accessible AI infrastructure. Our API now returns the first 2 seconds of synthesized audio on average ~70% faster compared to vanilla vLLM based implementation, at just 200ms for 2 second chunks. This allowed us to serve more QPS with lower latency and eventually offer the API at a ~60% lower price than would have been possible without using Modular’s stack."