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The Elbrus-8CB is an eight-core, 64-bit processor designed by Russia’s MCST around a proprietary VLIW architecture. Its standout numbers—1.5 GHz and a theoretical 576 GFLOPS of single-precision performance—describe a design built to expose parallel work through compiler scheduling, not a conventional x86 CPU. That distinction shapes its performance, software compatibility and usefulness: native, well-optimized code is the best fit, while x86 applications rely on binary translation. Contemporary technical coverage identifies its 28-nm process as TSMC’s; MCST’s own documentation is the primary source for the chip specifications.
Elbrus-8CB at a glance
MCST’s specifications describe the Elbrus-8CB as an eight-core processor running at 1.5 GHz, with four-channel DDR4-2400 ECC memory and 16 MB of shared L3 cache. The figures below are published specifications, not independent benchmark results.
| Specification | Elbrus-8CB |
|---|---|
| Designer | MCST |
| Architecture | Proprietary 64-bit Elbrus VLIW |
| Cores | 8 |
| Clock frequency | 1.5 GHz |
| Peak floating-point performance | 576 GFLOPS single precision; 288 GFLOPS double precision |
| L1 cache | 64 KB data and 128 KB instruction per core |
| L2 cache | 512 KB per core |
| L3 cache | 16 MB shared |
| Memory | Four-channel DDR4-2400 ECC |
| Stated peak memory bandwidth | 68.3 GB/s |
| Multiprocessor support | Up to four processors; three duplex interprocessor links, 12 GB/s per channel |
| Process, area and transistor count | 28 nm; 333 mm²; approximately 2.78 billion transistors |
MCST’s processor documentation is the source for the specifications. The 28-nm process is identified as TSMC’s in contemporary technical coverage; the MCST material cited here confirms the process generation but does not clearly establish the foundry itself.
VLIW: parallelism planned by the compiler
VLIW stands for “Very Long Instruction Word.” A wide instruction can specify several operations intended for different functional units in the same cycle. Rather than relying primarily on hardware to discover instruction-level parallelism at run time, Elbrus relies heavily on its compiler to identify independent operations, schedule them, manage dependencies and arrange work to reduce stalls.
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That shifts responsibility and opportunity. The compiler can plan operations using knowledge of the program, but code must offer enough independent work to fill the available execution slots. Dependencies, branches, memory delays and irregular access patterns can leave resources unused. MCST’s programming guide devotes material to software pipelining, dependency handling, speculative execution and memory-conflict analysis—evidence that scheduling and code generation are central to getting useful performance from the design.
This is not simply “eight small CPUs,” nor does eight cores mean eight conventional SMT threads. The published core count does not establish mainstream-style simultaneous multithreading. The architectural model is different from the out-of-order superscalar CPUs commonly found in x86 PCs: Elbrus makes compiler-visible parallelism a major part of the execution strategy.
Inside a core: execution resources, not a throughput guarantee
An analysis of MCST programming documentation by AnandTech describes six execution ports with overlapping capabilities. The documented resource picture includes integer operations across the ports, floating-point and comparison capabilities on multiple ports, four ports able to perform vector computation, up to four load-capable ports and up to two store-capable ports.
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That is a reconstruction of documented execution resources, not a complete floorplan or a claim that six arbitrary instructions always complete each cycle. Port capabilities are not interchangeable: instruction dependencies, operand availability, branches, memory latency and compiler scheduling all constrain actual throughput. The figures help explain how the core can pursue parallel work, but they do not replace workload-specific measurements.
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Cache, memory and multiple processors
Each core has private L1 data, L1 instruction and L2 caches; the L3 is shared across the processor.
| Cache level | Organization |
|---|---|
| L1 data | 64 KB per core |
| L1 instruction | 128 KB per core |
| L2 | 512 KB per core |
| L3 | 16 MB shared total |
The shared L3 is sometimes summarized as 2 MB per core by dividing 16 MB across eight cores. That is an arithmetic normalization, not evidence that each core has a physically private 2-MB L3 slice.
Four DDR4-2400 ECC channels provide a stated peak memory bandwidth of 68.3 GB/s. ECC is relevant to systems where memory-error detection matters, including server and industrial deployments. Multiple channels can help feed the cores, but the published peak is not a promise of sustained application bandwidth: locality, access patterns, contention and compiler-generated prefetching affect what software achieves.
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Why 576 GFLOPS is easy to misread
MCST lists theoretical peak performance of 576 GFLOPS in single precision and 288 GFLOPS in double precision. Dividing those totals by eight cores gives a simple arithmetic average of 72 single-precision or 36 double-precision GFLOPS per core at the stated peak. These are aggregate theoretical ceilings, not measured application results.
Such a peak is most relevant to suitably parallel floating-point work that the compiler can map efficiently onto the execution resources. It does not predict browser responsiveness, database latency, branch-heavy code, compilation time or performance of x86 software running through translation. Nor should it be compared with a GPU’s headline FLOPS as if the processors were doing the same work: precision, vector width, instruction mix, compiler quality and memory behavior all matter.
Without independent, workload-specific benchmarks, these specifications cannot establish whether Elbrus-8CB is faster or slower than a particular Intel, AMD or Arm processor. Peak FLOPS alone is not a general-purpose CPU rating.
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Elbrus-8C versus Elbrus-8CB
The suffix matters. MCST lists Elbrus-8C as the earlier eight-core model and Elbrus-8CB as an updated design with a higher clock, DDR4 memory and higher stated floating-point peaks.
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| Feature | Elbrus-8C | Elbrus-8CB |
|---|---|---|
| Cores | 8 | 8 |
| Frequency | 1.3 GHz | 1.5 GHz |
| Memory | Four-channel DDR3-1600 ECC | Four-channel DDR4-2400 ECC |
| Single-precision peak | 250 GFLOPS | 576 GFLOPS |
| Double-precision peak | 125 GFLOPS | 288 GFLOPS |
| L3 cache | 16 MB | 16 MB |
| Die area | 321 mm² | 333 mm² |
| Transistors | Approximately 2.73 billion | Approximately 2.78 billion |
These figures come from MCST’s processor documentation. English coverage commonly calls the later chip 8CB; Russian and translated material may use Эльбрус-8СВ for a later or related designation. Do not assume every reference to 8C, 8CB and 8SV identifies the same product.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Native software, compiler tools and x86 translation
Elbrus has its own instruction set; it is not an x86 processor. For performance-sensitive software, the natural route is to compile for the Elbrus target. MCST provides its proprietary lcc compiler for C, C++ and Fortran, along with tools such as binutils, GDB and profiling utilities. Its SDK information describes cross-compilation from x86-64 hosts and notes that programming-system compatibility depends on processor model and operating-system version.
Porting is more than getting a successful build. Teams may need to review dependencies, adapt system integration, profile hot paths and tune locality, vectorization, loop pipelining and memory behavior. MCST’s programming manual covers compiler optimization, assembly, GDB, perf, dprof, software pipelining, memory-dependency analysis and optimized libraries. The SDK documentation lists supported operating-system families including Elbrus Linux, Alt, Astra Linux, Neutrino, RED OS, ROSA and Elbrus-D; actual compatibility is version- and configuration-specific.
For legacy software, MCST offers two different translation approaches. Lintel is system-level translation intended to run complete operating systems, such as Windows or Linux binaries. RTC is application-level translation for Linux x86 or x86-64 programs running in an Elbrus Linux environment. Translation can ease migration, but it is not native x86 execution. Startup, code generation and runtime work add overhead, and results depend on the program’s instruction mix, hot code, system calls, vector instructions and other behavior. There is no sound basis for applying one fixed overhead percentage to every application.
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- This dominant gaming processor can deliver fast 100+ FPS performance in the world's most popular games
- 8 Cores and 16 processing threads, based on AMD "Zen 5" architecture
- 5.5 GHz Max Boost, unlocked for overclocking, 40 MB cache, DDR5-5600 support
- For the state-of-the-art Socket AM5 platform, can support PCIe 5.0 on select motherboards
- Cooler not included
For a native port, MCST’s Linux FAQ describes a staged route from x86 Linux development toward an Elbrus-targeted environment and then a certified Elbrus operating system. The practical choice is therefore not merely “does it run?” It is whether a translated version is adequate, or whether the application’s performance and support requirements justify native porting and optimization.
28 nm, design ownership and manufacturing context
The chip is a 28-nm design measuring approximately 333 mm², with about 2.78 billion transistors according to MCST. A die of that size is substantial for the process generation. Larger dies generally yield fewer potential chips per wafer and can raise manufacturing costs, but die area alone does not reveal yield or the final price. The silicon also contains cache, interconnect and reliability or coherence logic, not just eight cores.
Contemporary technical reporting identifies the fabrication process as TSMC 28 nm. This distinction matters when describing sovereignty: MCST’s Russian design ownership is not the same thing as domestic fabrication. A complete supply chain also involves packaging, system integration, operating systems, compilers and support. A domestically controlled software and hardware platform may reduce dependence on mainstream CPU suppliers for certain deployments, but it does not by itself prove that manufacturing is domestic, that the platform has no supply-chain dependencies, or that it is more secure or free of vulnerabilities.
Where the platform fits
Elbrus-8CB is most relevant to organizations evaluating controlled or certified deployments, native software development, or workloads with parallel work and regular memory access. ECC memory and documented multiprocessor support suit system designs that value those capabilities. Its strategic importance is as much about maintaining an alternative architecture and associated software stack as about raw processor speed.
It is a poor default choice for users who need a broad mainstream desktop ecosystem, easy peripheral and application compatibility, or leading-edge price/performance. The proprietary ISA narrows the ready-to-run software pool; translated x86 compatibility does not erase the need to verify application behavior. Its 28-nm process and 1.5-GHz clock also place it well behind newer mainstream processor generations in process technology and frequency, though those facts alone do not quantify application performance.
Availability should be treated as specialized and procurement-led rather than ordinary global retail. MCST’s pages describe systems and software, but some offerings are request- or contract-based rather than listed through a transparent public checkout. A realistic evaluation should confirm the exact processor and system configuration, supported OS and SDK versions, software coverage, integration and support terms, and the procurement route before committing.
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