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Delivering a Higher Standard of Medical Care

Boston Scientific
AMAX implements Contract Manufacturing services to manufacture, test, and deploy leading medical device developer's systems; utilizing AMAX Safety and EMC Compliance Certification to comply with FDA regulations.
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AMAX leverages open architecture and integrates best-in-class computing technologies to customize your GPGPU appliance platform based on your desired form factor, performance specifications, lifecycle and compliance requirements.

AMAX's GPGPU OEM appliances ensure time to market acceleration, long-term component availability, maximum energy efficiency, and lower total cost of ownership, without sacrificing the overall quality and reliability.
 
Model # of GPUs GPU Cores Floating Point Performance (Peak) CPU Type
Xr-4801Gk2
4U 8x Tesla K20
21,504 Cores 31.6 Teraflops (SP)
10.56 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors
Xr-2401Gk2
2U 4x Tesla K20
10,752 Cores 15.80 Teraflops (SP)
5.28 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors
Xr-1301Gk2
1U 3x Tesla K20
8,064 Cores 11.85 Teraflops (SP)
3.96 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors
Xr-1201Gk2
1U 2x Tesla K20
5,376 Cores 7.90 Teraflops (SP)
2.64 Teraflops (DP)
Single Intel Xeon E5-2600 series processor
Xr-2401Gk1
2U 4x Tesla K10
12,288 Cores 18.32 Teraflops (SP)
.76 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors
Xr-1301Gk1
1U 3x Tesla K10
9,216 Cores 13.74 Teraflops (SP)
.57 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors
PSC-6p
4U/Tower 4x Tesla K20/K20X/K10 with Passive Heatsink
10,752 Cores 15.80 Teraflops (SP)
5.28 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors
PSC - 6s
4U/Tower 4x Tesla K20/K10 with Active Heatsink
9,984 Cores 14.08 Teraflops (SP)
4.68 Teraflops (DP)
Dual Intel Xeon E5-2600 series processors

AMAX's GPGPU appliances are powered by the NVIDIA® Tesla™ GPU computing platforms, based on NVIDIA's Kepler GPU Computing Accelerators, the world's fastest and most efficient high performance computing (HPC) companion processor, delivering 3 times higher performance per watt than the previous 'Fermi' compute architecture, enabling hybrid computing dramatically easier, and applicable to a broader set of computing applications. AMAX's Tesla-based GPU solutions deliver the best performance and power efficiency for applications across many industries.

AMAX's Tesla-based GPGPU appliances are based on two different Nvidia Kepler GPUs:

Tesla K10 GPU Computing Accelerator
Optimized for single precision applications, delivering up to 2x the performance for single precision applications compared to the previous generation Fermi-based Tesla M2090 in the same power envelope.

Applications: Seismic, signal, image processing, and video analytics
Tesla K20 GPU Computing Accelerator
Designed for double precision applications and the broader supercomputing market, delivering 3x the double precision performance compared to the previous generation Fermi-based Tesla M2090, in the same power envelope.

Applications: Climate and weather modeling, CFD, CAE, computational physics, biochemistry simulations, data analytics, satellite imaging, and computational finance


KEY FEATURES:
  • Powered by NVIDIA's Kepler GPU Computing Accelerators, the world's fastest and most efficient high performance computing (HPC) companion processor.
  • Delivers 3 times higher performance per watt than the previous 'Fermi' compute architecture, enabling hybrid computing dramatically easier, and applicable to a broader set of computing applications.
  • Supports SMX (streaming multiprocessor) design, delivers up to 3x more performance per watt compared to the SM in Fermi, delivering 1 petaflop of computing in just 10 server racks.
  • Supports Dynamic Parallelism capability, enabling GPU threads to automatically spawn new threads, greatly simplifying parallel programming and enables GPU acceleration of a broader set of popular algorithms, like adaptive mesh refinement (AMR), fast multipole method (FMM), and multigrid methods.
  • Supports Hyper-Q, enabling multiple CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU, dramatically increasing GPU utilization, slashing CPU idle times, and advancing programmability.
  • Supports GPUDirect with RDMA, eliminating CPU bandwidth and latency bottlenecks using direct memory access (DMA) between GPUs and other PCIe devices, resulting in significantly improved MPISendRecv efficiency between GPUs and other nodes.

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