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The repertoire of the International Space Station is expanded with machine learning skills

Through HPE and Microsoft, cloud computing and peripheral computing are dating on a low orbit.

Hewlett Packard Enterprise (HPE) has announced that the Spaceborne Computer-2 (SBC-2) edge computing solution will accelerate space exploration and increase astronauts ’self-sufficiency and work efficiency at the International Space Station (ISS).

The SBC-2 is the 15th Northrop Grumman Resupply Mission to Space Station for short. NG-15), a Cygnus will launch into orbit in the spacecraft’s cargo hold on Feb. 20 and will be used by scientists on the ISS for the next 2-3 years.

Microsoft will connect the HPE to a machine that is resistant to harsh environmental impacts Azure Space such as space botany experiments, modeling of ground dust storms (to help plan Mars missions), processing sensor data from all analysis of imaging results will be greatly accelerated.


Machine learning capabilities allow users to access only the most important information face from huge sets of data, perhaps the computer would take over some repetitive tasks from people, who would thus be able to spend their time up there for an otherwise rather cramped schedule more usefully.

The launch of the SBC-2, of course, is not based on the principle of our tap right in the middle, as its predecessor, which targets a 1-year operating period, was shot in 2017 (Spaceborne Computer) a SpaceX Dragonon, which a month after launch, not only reached the space station, but also got to work successfully, giving 1 TFLOP direct computing capacity to a low orbit. With this weaponry, SBC has become the first computer to offer this performance with a set of simple, off-the-shelf components (and obviously not a targeted upgrade) in this very extreme, zero-gravity, high-cosmic radiation-saturated environment, tolerating access seamlessly. vibration, rotation and other serious physical effects during

Based on the HPE Edgeline Converged EL4000 Edge system and the HPE ProLiant DL360 server, the new machine doubles the previous pace and works with multiple GPUs inside, which will be a valuable aid in graphically intensive applications and certain machine learning projects, all in real time. Released about the event press material it also mentions that the relocation of reliable, high-performance computing capabilities aboard the ISS is only an initial step towards NASA’s future deep-space plans.

Source: Hírek és cikkek – PROHARDVER! by prohardver.hu.

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