GPU high-performance cloud computing
Best price-performance on-demand GPUs. Ideal for parallel processing workloads such as machine learning, scientific computing, and video processing.
FREE for 1 Week!
Scientists, artists, and engineers need access to significant parallel computational power. We offer GPU-optimized virtual machines accelerated by the NVIDIA Quadro RTX 6000, harnessing the power of CUDA, Tensor, and RT cores to execute complex processing, deep learning, and ray tracing workloads.
Between purchasing, installing, and maintaining GPUs, the cost of ownership is often high. Our GPUs allow you to leverage the power of GPUs while benefiting from the main value proposition of cloud: turning a capital expense into an operating expense.
Market Leading Hardware
Our GPUs are NVIDIA Quadro RTX 6000 units, currently considered one of the best in market. With CUDA, Tensor, and RT cores in each unit, these GPUs support any use cases associated with parallel processing, deep learning, or ray tracing.
Simplifying Complex Use Cases
You focus on your core competencies, we’ll worry about the hardware that makes them possible. Our GPUs remove the barrier of entry for complex use cases such as machine learning, AI, and video streaming.
Multiple Plan Types
One GPU card isn’t enough for your projected workloads? Not a problem. Our GPU plans offer up to four cards per instance, depending on how much horsepower you need.
Quadro RTX 6000 Specs
|CUDA Cores (Parallel-Processing)||4,608|
|Tensor Cores (Machine & Deep Learning)||576|
|RT Cored (Ray Tracing)||72|
|GPU Memory||24 GB GDDR6|
|Rays Cast||10 Giga Rays / Sec|
|FP32 Performance||16.3 TFLOPS|
Select the Dedicated + RTX6000 GPU plan for your most-specialized workloads
Same performance, half the price
|Akamai GPU 8 Cores Dedicated||32 GB RAM||640 GB SSD||$1000 / mo ($1.5 / hr)|
|AWS GPU 8 Cores p3.2xlarge||61 GB RAM||640 GB SSD||$2,297.80 / mo.||134% more|
|Google GPU 8 Cores n1-custom-8-32768||32 GB RAM||640 GB SSD||$1,584.40 / mo.||58% more|
AWS and Google prices are based on Dec'19 compute instances in US Eastern data centers configured with the nearest RAM and SSD, not including additional cost of transfer bandwidth.
All of our packages include…
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