Lambda

Lambda

Lambda.ai
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About

AMD Developer Cloud provides developers and open-source contributors with immediate access to high-performance AMD Instinct MI300X GPUs through a cloud interface, offering a pre-configured environment with Docker containers, Jupyter notebooks, and no local setup required. Developers can run AI, machine-learning, and high-performance-computing workloads on either a small configuration (1 GPU with 192 GB GPU memory, 20 vCPUs, 240 GB system memory, 5 TB NVMe) or a large configuration (8 GPUs, 1536 GB GPU memory, 160 vCPUs, 1920 GB system memory, 40 TB NVMe scratch disk). It supports pay-as-you-go access via linked payment method and offers complimentary hours (e.g., 25 initial hours for eligible developers) to help prototype on the hardware. Users retain ownership of their work and can upload code, data, and software without giving up rights.

About

Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, contributors and HPC-engineers in search of a solution to build, test and optimize ML/HPC workloads without investing in physical hardware

Audience

Lambda is built for AI labs, enterprises, research teams, and startups that need secure, high-performance GPU infrastructure to train and deploy advanced AI systems at massive scale

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 2.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 4.0 / 5
support 2.0 / 5

Pros & Cons from Real Users

Pros

  • They were one of the best options a few years ago. Pricing is still competitive. The biggest differentiator was the free storage option they offered.

Cons

  • After fundraising the storage is now a paid option. The sad part is they decided to make money off their original customers by charging them for storage (they claim they sent an email notifying). Even assuming they did and I missed it, they would not reimburse me even though their logs clearly shows I have not used their system in months. The clear parasitic behavior of companies that maximize for short term as opposed to long term gains. Perhaps the pressure investment money flow brings to startups - it becomes all about short term optimization, at the expense of customers.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AMD
Founded: 1969
United States
www.amd.com/en/developer/resources/cloud-access/amd-developer-cloud.html

Company Information

Lambda.ai
Founded: 2012
United States
lambda.ai

Alternatives

Alternatives

Categories

Categories

Integrations

Jupyter Notebook
AccessOwl
Caffe
Docker
EquityZen
Keras
NVIDIA Brev
OpsVerse
Python
Shadeform
TensorFlow
ZenML

Integrations

Jupyter Notebook
AccessOwl
Caffe
Docker
EquityZen
Keras
NVIDIA Brev
OpsVerse
Python
Shadeform
TensorFlow
ZenML
Claim AMD Developer Cloud and update features and information
Claim AMD Developer Cloud and update features and information
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Claim Lambda and update features and information