Ready-to-go
cloud GPUs

Per-second billing

Rent A100 by fractions to save costs

Run GPU in virtual machine or in container

2x cheaper Nvidia A100 GPUs

than on AWS or Google Cloud

Located in the EU

Cluster of NVidia A100

Templates with popular machine learning tools

Choose the best GPU for deep learning in cloud

Card	Price per hour²	FP32 (ML benchmarks score)¹	FP64, TFLOPS (peak)	Memory, GB	CUDA cores
A100 by Puzl	$1.60	1	9.7	40 HBM2	13824
Half of A100 by Puzl, based on Nvidia MIG	$0.80 x0.5	0.57	4.85 x0.5	20 HBM2	5925 x0.43
Quarter of A100 by Puzl, based on Nvidia MIG	$0.40 x0.25	0.284	2.43 x0.25	10 HBM2	3950 x0.29
A4000	$0.46 x0.29	0.347	0.6 x0.06	16 GDDR6	6144 x0.44
A5000	$0.84 x0.52	0.546	0.87 x0.09	24 GDDR6	8192 x0.59
Tesla T4	$0.26 x0.16	0.138	0.25 x0.03	16 GDDR6	2560 x0.19
Tesla V100	$1.17 x0.73	0.415	7 x0.72	16 HBM2	5120 x0.37

* Benchmarks are made on instances with 1 GPU, 16GB RAM, 4vCPU and fast storage with similar IOPS and bandwidth rate.

** Based on average normalized GPU score for ResNet, Inception and AlexNet benchmarks. Normalization was performed to A100 score (1 is a score of A100).

*** The minimum market price per 1 GPU on demand, taken from public price lists of popular cloud and hosting providers. Information is current as of February 2022.

**** Values for MIG based GPUs are approximate. Find more details about Nvidia MIG technology here.

Try new service

CI Runners for GitLab - background

CI Runners for GitLab - mascot

released

CI Runners for GitLab

Request Nvidia A100 GPUs directly from your GitLab pipelines. Turn GitLab into your powerful MLOps platform!

Pay only for resources consumed by your pipelines.

Use Nvidia A100 GPUs in your GitLab CI/CD.

No vendor lock-in: if unsatisfied, you can quickly switch to other options.

Explore CI Runners

GITLAB is a trademark of GitLab Inc. in the United States and other countries and regions.

Save with committed usage

Commit to consistent usage of GPU-hours and get reserved GPUs under a discounted price.

-10%

1 month
commitment

$1.44

~~$1.6~~

for 1 GPU-hour of Nvidia A100

-20%

6 months
commitment

$1.28

~~$1.6~~

for 1 GPU-hour of Nvidia A100

-30%

2 years
commitment

$1.12

~~$1.6~~

for 1 GPU-hour of Nvidia A100

-40%

3 years
commitment

$0.96

~~$1.6~~

for 1 GPU-hour of Nvidia A100

Running on professional server platforms
with last generation AMD EPYC™

amd epyc cpu

AMD EPYC™ 7502 3.3GHz

*AMD, and the AMD Arrow logo, AMD EPYC and combinations thereof are trademarks of Advanced Micro Devices, Inc.

AMD EPYC™ CPU

With 2nd generation AMD processors you can allocate 196 vCPU and 10 GPU in one instance.

Flexible NVMe^®-based data storage

Fast, reliable data storage for your datasets and trained models, runtime-extensible up to 4TB.

Fast ECC RAM

DDR4 ECC 2.9Ghz memory with flexible allocation up to 1TB.

Zero infrastructure

Instant
start

Run Kubernetes pods in seconds. Launch your code in containers or in virtual machines.

Kubernetes
out of the box

You get full access to a separate Kubernetes namespace, pre-configured with all security policies needed.

Fair
costs

Pay only for resources used by the running pods, no cluster maintenance fee.

Easy to deploy

No need to explore one more cloud API:
Kubernetes is a new unified way to deploy your applications.

kubernetes dashboard

puzl dashboard

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