Low-Cost, Parallel Compute Environment
Large public cloud operators encourage lock-in through vendor-specific tools and large data transfer fees. DCP sidesteps this by forcing these players to compete on a level playing field, dramatically improving portability and reducing compute costs.
DCP also streamlines the deployment and operation of workloads. Unlike other public cloud platforms that make users pay for a specific environment, DCP's Compute API automates the provisioning and orchestration of compute resources.
On-demand infrastructure for high-throughput compute
Massive-scale distributed computing without orchestration
One environment, where parallel workloads run on any device with the same source code
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Use Cases
DCP is purpose-built for scaling massive scientific and analytics applications that don’t involve sensitive data. If operating any of these processes in a public cloud environment or are looking to shift applications off-premises, DCP may be the perfect fit.
Compute-intensive batch processes like rendering, simulations, and predictive analytics can benefit greatly from DCP’s low cost and massively parallel compute resources.
DCP provides both HTC and edge resources to make processing complex data streams easier, more efficient, and more cost-effective than any centralized cloud operator.
Training and deploying AI models takes large amounts of GPU resources that can be incredibly expensive, but DCP provides the same hardware at a fraction of the cost.
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The DCP Advantage
Workload Protection
Workloads are highly fault-tolerant to disruptions, and seamlessly transition to a different node when one becomes unresponsive.
Any Infrastructure
Access compute power that adapts to an exact workload, and stop paying for instances that don't get fully used.
No Service Limits
There are no progressive rates or service limits, and compute is up to 95% less than elsewhere.
Unlock powerful parallelism
Accelerate long workloads with powerful, easy and affordable distributed computing. Reduce time to results by capturing the cores on premise into a private network or leveraging the powerful public network.
Ideal Parallel Computing
CPU Resources
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IoT & Edge
Fully configured edge infrastructure from around the world, including mobile edge networks. DCP is the future of computing at the edge.
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Balanced
CPUs that meet requirements for all but the most resource-intensive workloads.
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Enterprise & High-Throughput-Compute
High-performance and dedicated server resources, built for the most demanding CPU-bound workloads.
GPU Resources
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Virtual GPUs
On-demand virtual GPUs from consumer grade video cards to professional specs like the A100. DCP provides it all for pennies on the dollar.
Simple & Use-based Pricing
DCP measures the use of computing resources as a factor of compute time, bandwidth, and memory usage. All load balancing and orchestration tools are built-in at no cost.
DCP uses a model where users specify how much to pay for any particular workload, similar to how 'spot pricing' works on other platforms. Compute budgets can be planned far in advance without surprises.
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Enterprise-Grade Service Levels
Power DCP
Anyone can profit by lending underutilized capacity to DCP, like HPC systems, rack servers, workstations, and other endpoints. Even existing public cloud operators can benefit, generating new marginal revenue and fully utilizing excess capacity.
DCP ensures full control over which workloads can use infrastructure and how much workloads can consume.
On-demand infrastructure for high-throughput compute, edge & more
Massive-scale distributed computing without orchestration
One environment, where parallel workloads run on any device with the same source code
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Compute Solutions
Learn About DCP By Application
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Contact
Speak with solution experts and discover how DCP can unlock new capabilities for virtually any organization.