AI inference has a cost problem. Hardware alone isn't enough - customers need software that can extract every ounce of performance from these chips. TensorWave and Modular team up to shatter the cost-performance ceiling for AI inference.

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About TensorWave

Case Studies

Revolutionizing your own research to production

Modular allows Qwerky AI to do advanced AI research, to write optimized code and deploy across NVIDIA, AMD, and other types of silicon.

Modular partners with NVIDIA to accelerate AI compute everywhere

Modular’s Platform provides state-of-the-art support for NVIDIA Blackwell, Hopper, Ampere, Ada Lovelace and NVIDIA Grace Superchips.

Modular partners with AWS to democratize AI Infrastructure

Modular partnered with AWS to bring MAX to AWS Marketplace, offering SOTA performance for GenAI workloads across GPUs types.

AI batch processing is now cheaper than anyone thought possible

When selling GPUs as a commodity meets the fastest inference engine - cost savings can skyrocket.

Unleashing AI performance on AMD GPUs with Modular's Platform

Modular partners with AMD to bring the AI ecosystem more choice with state-of-the-art performance on AMD Instinct GPUs.

2x cost savings with the fastest text-to-speech model ever

We made state-of-the-art speech synthesis scalable, and achieved a truly remarkable improvement both for the latency and throughput.

Scales for enterprises

  • Dedicated enterprise support

    We are a team of the world's best AI infrastructure leaders who are reinventing and rebuilding accelerated compute for everyone.

  • Infinitely scalable to reduce your TCO

    Optimize costs and performance with multi-node inference at massive scale across cloud or on-prem environments.

  • Enterprise grade SLA

    Our performance is backed with an enterprise grade SLA, ensuring reliability, accountability, and peace of mind.

Build the future of AI with Modular

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    Install MAX with a few commands and deploy a GenAI model locally.

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    500+ models, many optimized for lightning-fast performance

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