Cloud Platforms

Amazon Web Services (AWS)

<p><span>The leader in cloud platforms now offers enterprise grade GPU instances from Nvidia. The second-generation P2 instances from AWS offer the choice between small and large configurations and represent an easy way for enterprises to try out MapD parallel processing. Our AMI is current with our releases and offers both MapD Core and MapD Immerse along with some sample data. If you have data in an S3 bucket, pointing to it is seamless. Pricing is per instance and is available on the Marketplace page.</span></p>

<p><span>Google's second generation instances of GPUs offer powerful options and per minute billing. Presently, MapD will provide a license key for those enterprises interested in evaluating or deploying on the Google Cloud and in the future we anticipate having a Launcher that encompasses MapD Core and MapD Immerse for ready-to-go deployment options. Contact for a license key for deployment on the Google Cloud platform.</span></p>

<p><span>The pioneer in beefy GPU instances offers a range of configurations and billing options including bare-metal instances. Contact for a license key for deployment on IBM Softlayer.</span></p>

Hardware Platforms


<p><span id="docs-internal-guid-a2ef7da7-0889-fbc1-afe1-3f31a5cb1933"><span>The MapD platform was built from the ground up to leverage the massive parallelism of NVIDIA graphics processing units (GPUs), delivering the fastest SQL queries and visual rendering of large datasets. MapD is available on NVIDIA GPU Cloud (NGC) and on NVIDIA DGX systems, containerized within NVIDIA catalog. As an investor, customer and product development partner, NVIDIA works closely with MapD to redefine the boundaries of extreme analytics.</span></span></p>

<p><span>IBM® Power Systems™ S822LC for High Performance Computing pairs the strengths of the POWER8 CPU with 4 NVIDIA® Tesla® P100 GPUs. These best-in-class CPU and GPU hardware are tightly bound with NVIDIA NVLink Technology from CPU:GPU—to advance the performance, programmability, and accessibility of accelerated computing and resolve the PCI-E bottleneck.</span></p>

<p><span>As a leading ICT solution provider, Huawei is implementing the MapD Core SQL engine and MapD Immerse visual analytics system internally on the FusionServer G5500. The G5500 is a heterogeneous server that can be used to build a supercomputing cluster composed of up to 32 GPUs.</span></p>

<p><span>Offering the latest in exceptional parallel processing hardware and high-density design from Dell, the PowerEdge C4130, offers up to four GPU boards in a 1U form factor. In addition, the uniqueness of PowerEdge C4130 is that it offers a configurable system design, potentially making it a better fit, for the wider variety of extreme HPC applications.</span></p>

<p><span>HPE ProLiant GPU servers deliver against demanding, high-performance computing workloads - on premise or in the cloud. HPE’s ProLiant boxes provide all of the benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and high performance computing management tools such as HPE Insight Cluster Management Utility.</span></p>

<p><span>SuperMicro has established itself as the leader in GPU computing with its line of supercomputing server solutions: NVIDIA Tesla SuperServers. Able to generate massively parallel processing power through exceptional GPU density and boasting a full range of networking options, SuperMicro’s portfolio is amongst the broadest in the business.</span></p>

Research Partners

<p><span>MapD Technologies and the CGA announced a research collaboration through the NSF I/UCRC Spatiotemporal Innovation Center. The goal is to explore the power of GPUs in spatiotemporal analytics.&nbsp;</span></p>