Alternatives to TensorQ

Industry-leading AI infrastructure for ultra-fast AI inference and training powered by Wafer-Scale Engines.

Full-stack AI cloud infrastructure

GPU cloud provider for AI infrastructure

Groq develops a high-performance AI inference chip and compiler for ultra-low latency AI applications.

Platform for scaling AI model training and inference.

Reduces computer-vision AI cost and power consumption for edge and cloud deployments.

Developing a new network switch architecture to break through AI networking bottlenecks.

Sponsors of OpenWALDO, a community-driven initiative for open-source AI training data, and provider of enterprise Linux, HPC, and AI infrastructure software.

Driving quantum computing integration with high-performance computing.

Developing a universal processor for AI and high-performance computing.

Graphene technology for faster AI data transfer

A universal data platform for AI and analytics, offering high-performance flash storage and a data lakehouse architecture.

Building a cluster-scale operating system for the next generation of supercomputers.

Replacing copper data center interconnects with photonic CXL to break the GPU memory wall.

WEKA is a data platform for AI and HPC workloads, delivering extreme performance for GPU clusters, genomics pipelines, and data-intensive applications.

A startup developing specialized switches for AI clusters to optimize AI workload networking.

Software for efficient and performant machine learning execution in production.

Pioneering Big Memory Computing for cloud-native big data applications.

Global provider of advanced cloud GPU computing solutions for AI and ML workloads.

Software-based inference accelerator to improve deep learning performance on existing hardware.

Rocketick provides a multicore processor-based acceleration solution, RocketSim, to significantly speed up functional verification simulations for complex designs.

Reinventing computation with fiber optic hardware for revolutionary data processing.

Global technology company renowned for its GPUs, SoCs, and APIs, driving advancements in AI, gaming, and high-performance computing.

Revolutionizing AI training with distributed GPU orchestration for massive model development.

AI and Big Data Storage Solutions

Accelerating physics-based simulations with AI.

Designs and sells high-performance cloud networking solutions for data centers and enterprise environments.

High-performance InfiniBand and Ethernet interconnect solutions for data centers.

Hailo develops AI processors for edge devices, enabling on-device generative AI.

A stealth-mode startup aiming to be an innovation machine for machine learning development.

Developing the Omni Processing Unit (OPU) that unifies CPU, GPU, memory, and connectivity for AI workloads.

Accelerating data access for cloud and enterprise data centers with innovative storage technology.

nEye Systems develops optical circuit switches to eliminate bottlenecks in AI data center infrastructure.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Develops AI and Deep Learning processors for data centers and cloud environments.

A chip startup focused on solving AI's memory bottleneck with memory-centric solutions.

Designs, develops, manufactures, and sells high-performance, high-efficiency server and storage technology and green computing solutions.

Rethinking compute architectures for future processing needs with novel VLSI designs.

Fabless semiconductor company developing advanced data center storage solutions.

Developing photonic computing and interconnect technology to accelerate AI infrastructure and improve energy efficiency.

Cloud data platform for mission-critical workloads, delivering on-premises performance and security.

Builds space-resilient super-computing systems for cloud computing in space.

Building scale-out networking solutions for AI data centers.

Redefining data center elasticity with runtime-reconfigurable hardware via CXL.

Develops the C200 Analytics Processing Unit (APU), an ASIC for massive-scale analytics.

Develops scalable, extreme-bandwidth optical interconnects for data centers and AI clusters using comb laser technology.

Semiconductor hardware company accelerating data analytics query processing speed and scale.

Advanced semiconductor integration and packaging for high-performance computing and AI.

Silicon photonics technology for hyperscale data centers and AI applications.

Virtualizes expensive AI hardware to enable efficient pooling, sharing, and allocation of resources.

A high-performance, dynamic programming language for technical computing.

Qblox provides modular hardware and software solutions for scalable quantum computer control.

Cloud-native artifact management platform for secure software development and distribution.

Quantum computing software platform for designing and optimizing quantum circuits.

Ingonyama develops specialized hardware to accelerate Zero-Knowledge Proof computations.

Develops integrated voltage regulators for high-efficiency power management in AI processors and data centers.

Electrochemical Additive Manufacturing (ECAM) for high-resolution, scalable metal 3D printing.