Tachyum has successfully integrated eBPF’s Just-In-Time (JIT) compiler into its universal processor emulation platform, Prodigy. This technical milestone strengthens its value proposition as a convergent architecture for artificial intelligence workloads, high-performance computing (HPC), and cloud applications.
eBPF JIT: a gateway to advanced kernel supervision without modules
Extended Berkeley Packet Filter (eBPF) enables the execution of isolated programs in privileged contexts, like the operating system kernel, without modifying source code or loading modules. It’s become a vital technology for observability, network filtering, security policies, tracing, performance profiling, and task scheduling. Its JIT version can be up to ten times faster than a generic interpreter.
Tachyum’s engineering team has also ported Kprobes, a key component for activating eBPF subroutines, demonstrating their commitment to a fully functional eBPF ecosystem on their architecture.
CEO statement: compatibility, performance, and sustainability
“Our software emulation system is crucial for ensuring existing applications run optimally on Prodigy processors, confirming they can harness high performance, low power consumption, and lower total cost of ownership compared to traditional data centers,” said Dr. Radoslav Danilak, founder and CEO of Tachyum.
According to Danilak, this eBPF JIT compatibility not only enhances the environment for developers and system integrators but is also a vital step toward unlocking the full potential of the Prodigy processor in enterprise and government settings.
What is Prodigy and why does it matter?
Prodi gy is presented as the world’s first universal processor—integrating CPU, GPU, and TPU into a single chip. With 256 custom 64-bit cores, it aims to replace heterogeneous architectures with a homogeneous solution capable of dynamically adapting to various workloads like generative AI, scientific simulations, LLM inference, or cloud services.
Tachyum claims Prodigy can deliver:
- Up to 18 times the performance of top GPUs in AI tasks.
- Three times the performance of leading x86 processors in cloud environments.
- Eight times the capacity of the most powerful GPUs in HPC.
Less dedicated hardware, more energy efficiency
The processor promises to drastically reduce capital (CAPEX) and operational expenses (OPEX) by removing the need for specialized infrastructure for different workloads. It also stands out for its ultra-efficient energy consumption, a key factor as global data center energy use could double before 2030, according to the IEA.
Video demonstration: Eunomia and execsnoop
The integration has been publicly demonstrated using Eunomia, an open-source organization dedicated to improving the eBPF ecosystem. The example features the well-known execsnoop tool, used for tracking exec() calls on Linux systems.
Context and prospects
This move reinforces Tachyum’s position as an emerging player in the race toward computing convergence. While giants like NVIDIA and Intel focus on specialized architectures, Tachyum advocates for a universal design capable of absorbing multiple domains without dedicated solutions.
Furthermore, their partnership with US government clients on systems surpassing 50 exaflops positions the company as one of the few contenders in the unified AI and HPC supercomputing arena.