| Appliance Platforms |
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x86 OEM Appliances |
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Embedded Appliances |
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GPGPU Appliances |
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Call 1.800.800.6328
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| Testimonial |
"My experience with AMAX has proven to show a large level of customer service and commitment that they give to their customers. AMAX is very dependable and they always treat you like family. I always feel very comfortable working with AMAX, because we have built up that relationship, it almost feels like asking a friend for help."
- Antonio Saraiva, Senior Project Manager, Riverbed |
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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.
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| Model |
Tesla GPU |
SP Floating Point Performance (Peak) |
DP Floating Point Performance (Peak) |
CPU |
| PSC - 2s |
1,792 Cores
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4.12 Teraflops |
2,060 GFLOPS |
Dual Intel Xeon 5600 series processors |
| PSC - 6s |
1,792 Cores
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4.12 Teraflops |
2,060 GFLOPS |
Dual Intel Xeon 5600 series processors |
| PSC - 5n |
896 Cores
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2.06 Teraflops |
1,030 GFLOPS |
Dual Intel Xeon 5600 series processors |
| Xn - 1114G |
896 Cores
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2.06 Teraflops |
1,030 GFLOPS |
6 x hot swap 2.5" SATA |
| Xn - 1113G |
896 Cores
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2.06 Teraflops |
1,030 GFLOPS |
3 x hot swap 3.5" SATA |
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With the world's first teraflop many-core processor, NVIDIA® Tesla™ high performance computing (HPC) solutions enable the necessary transition to energy efficient parallel computing power. With 448 cores per processor and a standard C compiler that simplifies application development, Tesla™ scales to solve the world's most important computing challenges-more quickly and accurately.
Tesla™ is a dedicated, high performance GPU computing solution, delivering supercomputing power to any workstation or server appliance, and to standard, CPU-based server cluster appliances.
KEY FEATURES:
- GPUs powered by the massively parallel CUDA architecture, transforming a GPU solution to perform like a small cluster at 1/20th the power consumption and 1/10th the cost.
- CUDA programming environment with broad support of programming languages and APIs, including C, C++, OpenCL, DirectCompute, or Fortran .
- IEEE 754 single and double Precision floating point units, delivering up to 8X the double precision performance compared with previous generation of GPU products.
- ECC Support, meeting a critical requirement for datacenters and supercomputing centers deploying GPUs on a large scale with uncompromised computing accuracy and reliability.
- NVIDIA® Parallel DataCache™, accelerating algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand.
- NVIDIA® GigaThread™ Engine, maximizing the throughput by faster context switching, concurrent kernel execution, and improved thread block scheduling.
- Asynchronous Transfer, turbocharging system performance by executing data transfers, even when the computing cores are busy.
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