
InAccel
Cloud hardware accelerators.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 80 % | - | - | (44 %) |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
InAccel provides a platform for application acceleration, utilizing Field-Programmable Gate Arrays (FPGAs) to enhance the performance of computationally intensive tasks for its clients. The company operates on an "accelerators-as-a-service" model, allowing businesses to leverage the power of FPGAs on the cloud or on-premise without requiring deep hardware expertise. InAccel's solution is designed for seamless integration, offering significant speedups—reportedly up to 10x—with minimal to no code changes required from the user. This is achieved through a framework that manages the entire FPGA acceleration lifecycle, including deployment, scaling, resource orchestration, and monitoring.
Founded in 2018 by Christoforos Kachris, Elias Koromilas, and John Stamelos, the company was born from their research and expertise in FPGA management and orchestration. The founders identified the growing need for accessible hardware acceleration as data-intensive applications in fields like machine learning, big data analytics, and genomics became more prevalent. In July 2018, InAccel secured a $600,000 seed investment from Marathon Venture Capital. A significant milestone occurred in February 2024, when Intel acquired InAccel, integrating its team and technology into Intel's FPGA division to enhance its management and orchestration capabilities.
The company's business model centers on providing ready-to-use hardware accelerators as IP cores for various applications, including machine learning, data processing (like compression and encryption), and financial modeling. These accelerators are compatible with major cloud platforms such as Amazon AWS and have been shown to work with frameworks like Apache Spark, enabling users to accelerate data analytics and machine learning workflows directly. InAccel's offerings include a suite of tools like the Coral Resource Manager for orchestrating FPGA clusters, a Bitstream Repository for managing FPGA binaries, and Coral Monitor for real-time insights into FPGA performance. This allows clients to reduce operational expenses and total cost of ownership by optimizing resource utilization and energy consumption.
Keywords: FPGA acceleration, accelerators-as-a-service, cloud computing, on-premise acceleration, machine learning, big data analytics, hardware acceleration, Apache Spark, Coral Resource Manager, IP cores, data processing, financial modeling, high-performance computing, cloud accelerators, resource orchestration, Intel, Marathon Venture Capital, Christoforos Kachris, FPGA management