Technology leaders can apply policies to control costs and find the balance between time-to-solve and lowest cost.
#Does half life blue shift keep your data in the cloud software
Today, researchers can use their simulation software of choice on nearly unlimited computing power, without ever having to worry about the infrastructure, and run cloud-based desktops to interact with their simulations or models. While it can be difficult to get a cloud-based supercomputer up and running, the rewards can make it well worth the effort. I’m familiar with how challenging this process can be for organizations because my firm, Rescale, specializes in helping companies set up and automate these systems. Third, choosing the right software/hardware combination and maintaining the proper configuration as IT technology advances is critical to achieve the optimal performance for computational engineering workloads.
Second, the simulation software required can be complex to set up and maintain. First, high-performance computing infrastructure, which makes computational engineering possible, is a new offering for public cloud providers. Computational engineering requires a complex and specialized technology stack, and few company IT organizations have the in-house expertise to set up a real R&D operation in the cloud. So, given the potential of this technology, why are less than one in four supercomputers for simulations cloud based? The simple answer is that it’s hard. That’s how much confidence the airlines have in the millions of hours in computer simulation results produced to date. The company already has commitments from United to buy 15 of its supersonic transport jets, even though the aircraft has yet to fly. Because of the cloud, Boom (which is a Rescale client) could afford to quickly run 53 million compute hours on Amazon Web Services (AWS) with plans to scale to more than 100 million compute hours. Rapid software simulations allowed the company to replace most of the physical prototyping and wind-tunnel testing required by the Concorde. Only founded in 2014, it plans to deliver its Overture supersonic airliner in half the time, at a small fraction of the cost and personnel.īoom’s rapid R&D speed was powered by cloud supercomputing.
Contrast that timeline with Boom Supersonic, a startup that promises to cut air travel time in half, shuttling passengers between New York and Paris in 3.5 hours. Just as enterprise cloud computing created new ways for businesses to engage customers and disruptions from software-as-a-service to mobile computing, supercomputing will open up new possibilities for innovation breakthroughs by accelerating R&D speed and product development by orders of magnitude.įor example, the Concorde supersonic transport program took 25 years and $5 billion (adjusted for inflation) to launch its first commercial flight in 1976.
This transition has the potential to accelerate (or disrupt) how businesses deliver complex engineered products, from designing rockets capable of reaching space and supersonic jets to creating new drugs and discovering vast pools of oil and gas hidden deep underground. But today, the cloud is bringing supercomputing into the mainstream. A catchall term for the world’s largest, most powerful computers, supercomputers were once available only to governments, research universities, and the most well-heeled corporations, and were used for cracking enemy codes, simulating weather, and designing nuclear reactors. While the cloud is now ubiquitous in enterprise computing, there is one area where the shift to cloud has only just quietly begun: supercomputing.
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