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Intel Corporation

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150 reviews
  • 26 profiles
  • 19 categories
Average star rating
4.2
Serving customers since
1968

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Intel System Studio IoT Edition

28 reviews

Intel® System Studio IoT Edition is a comprehensive, cross-platform tool suite designed to accelerate the development of smart, connected devices and Internet of Things (IoT) applications. It simplifies system bring-up, enhances performance and power efficiency, and strengthens system reliability, enabling developers to move swiftly from prototype to production. Key Features and Functionality: - Optimizing Compilers and Libraries: Includes Intel® C/C++ Compiler and platform-tuned libraries such as Intel® Integrated Performance Primitives (Intel® IPP) and Intel® Math Kernel Library (Intel® MKL) to build performance-optimized code. - Advanced Debugging and Analysis Tools: Provides in-depth debugging, tracing, and analysis capabilities to identify and resolve system issues, ensuring application stability and reliability. - IoT Sensor and Cloud Connectivity: Offers access to over 400 sensors and enhanced debugger workflows that automate tracing, facilitating seamless integration with cloud services and IoT devices. - Multi-Language Support and Customization: Supports multiple programming languages, including C, C++, and Java, and allows interface customization to suit developer preferences. Primary Value and User Solutions: Intel® System Studio IoT Edition addresses the challenges of developing IoT applications by providing a unified environment that streamlines the development process. It reduces time-to-market through ready-to-use, domain-specific routines and system-wide visual performance analysis, enabling developers to quickly identify issues and optimize their applications. The suite's comprehensive tools enhance performance and power efficiency, while its robust debugging and analysis capabilities ensure system reliability, ultimately facilitating the creation of high-quality, connected devices.

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Intel DevCloud for the Edge

3 reviews

Learn, test and prototype AI inference workloads using Intel® DevCloud for the Edge, which includes a preinstalled and preconfigured version of the Intel® Distribution of OpenVINO™ toolkit and AI pipeline software. Access tutorials, sample applications and pretrained models via a Jupyter Notebook environment and execute workloads on a wide range of Intel® hardware.

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Intel Machine Learning Scaling Library

3 reviews

Intel(R) Machine Learning Scaling Library (Intel(R) MLSL) is a library providing an efficient implementation of communication patterns used in deep learning.

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Intel Parallel Computing Centers

3 reviews

Universities, institutions, and labs that work to optimize open-source applications.

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Intel HPC Orchestrator

2 reviews

OpenHPC* simplifies the installation, management, and ongoing maintenance of an HPC system by reducing the amount of integration and validation effort required to run an HPC system software stack.

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Intel Parallel Studio XE

2 reviews

Deliver faster, scalable, and portable parallel code for high-performance computing (HPC), enterprise, cloud, and AI applications.

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Intel MPI Library

2 reviews

Intel MPI Library is a multifabric message-passing library that implements the open-source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on HPC clusters based on Intel processors.

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Intel Connected Worker

2 reviews

Intel® architecture-based connected worker solutions bring essential capabilities, including: Continuous environmental monitoring and alerts, both locally on the gateway, and in the remote command center Immediate, one-to-one “over the shoulder” coaching by remote experts Timely access to contextually relevant, critical information while on the job Contextual augmented-reality-based training on site

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Deep Learning Reference Stack

2 reviews

The Deep Learning Reference Stack with Tensorflow is an integrated, highly-performant open source stack optimized for Intel Xeon Scalable and Client platforms. This release is part of an effort to ensure AI developers have easy access to all features and functionality of Intel platforms.

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HaXM

1 review

HaXM is a cross-platform hardware-assisted virtualization engine (hypervisor), widely used as an accelerator for Android Emulator and QEMU. HAXM runs as a kernel-mode driver on the host operating system, and provides a KVM-like interface to user space, thereby enabling applications like QEMU to utilize the hardware virtualization capabilities built into modern Intel CPUs, namely Intel Virtualization Technology.

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Intel Corporation Reviews

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87
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12
1
1
Ahmad N.
AN
Ahmad N.
noting
03/01/2026
Validated Reviewer
Review source: Organic

Are there upcoming updates of features within the platform?

What I like best about Intel System Studio IoT Edition is its comprehensive toolchain for embedded and IoT development. It integrates performance analysis, debugging, profiling, and cross-compilation tools into a single environment, which significantly reduces context switching during development. The advanced debugging capabilities, especially JTAG-based hardware debugging and system-level tracing, make it much easier to diagnose low-level issues in embedded systems. I also appreciate the performance profiling tools that help identify bottlenecks in CPU, memory, and threading behavior, which is critical for resource-constrained IoT devices. Another strong point is its tight integration with Intel architectures, allowing optimized builds and better visibility into hardware-level behavior. Overall, it streamlines the entire development workflow from coding to performance tuning.
Javier C.
JC
Javier C.
Software Developer
02/09/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Boosts Debugging, Data Analysis, and System-Level Optimization

Yes, help me to get a better performance at the moment of debugging and analyzing the data of my code, improving and debugging the code, tp embedded. getting a better optimization on the system level and tools to accelerate the application running.
Vo P.
VP
Vo P.
02/02/2026
Validated Reviewer
Review source: Organic

Excellent Support for Kernel, Driver, Firmware, and Bare-Metal Debugging

Supports kernel, driver, firmware, and bare-metal debugging Works well with JTAG and remote debugging setups Strong performance on Intel Atom, Core, and other Intel-based SoCs Advanced tools for performance profiling, memory analysis, and threading behavior

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Santa Clara, CA

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What is Intel Corporation?

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

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Year Founded
1968
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NASDAQ:INTC