QBlocks Cloud
Amazon AWS
Google Cloud Platform
Microsoft Azure
Frontegg
DigitalOcean
GameServerApp.com
Vast.ai
Amazon AWS
iExec
Golem
SONM
ElasticSearch
DigitalOcean
P2PVPS
Machine learning development requires a lot of computing power. Specifically GPU powered computing. GPUs are super expensive on incumbents like AWS. This creates a big divide between compute rich and compute poor developers and teams. Thus becoming a bottleneck for over 5 Million ML devs.
At Q Blocks, we have figured out a new way to solve this. To bring access to the most powerful GPUs at 1/10th the cost with the reliability and scalability of a cloud.
Try Q Blocks and save significant costs for training and tuning your next ML model
QBlocks CloudNo QBlocks Cloud videos yet. You could help us improve this page by suggesting one.
Based on our record, Vast.ai seems to be a lot more popular than QBlocks Cloud. While we know about 223 links to Vast.ai, we've tracked only 1 mention of QBlocks Cloud. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There's a middle way: qblocks.cloud - This platform that enables access of unused GPU servers across the globe. It works like a traditional cloud by offering scalability, security and reliability while being upto 80% low cost for AI workloads. Also, offers inbuilt Jupyterlab, AI framework, GPU driver support out of the box. Thus no time wasted in server setup. Source: over 1 year ago
There are already ways to get around this. For example, renting compute from people who aren't in datacenters. Which is already a thing: https://vast.ai. - Source: Hacker News / 3 months ago
By "SETI" I assume you mean the SETI@Home distributed computing project. There's a two-way market where you can rent out your GPU here: https://vast.ai/. - Source: Hacker News / 5 months ago
- https://vast.ai/ (linked by gchadwick above). - Source: Hacker News / 6 months ago
Have you considered running on a cloud machine instead? You can rent machines on https://vast.ai/ for under $1 an hour that should work for small/medium models (I've mostly been playing with stable diffusion so I don't know what you'd need for an LLM off hand). Good GPUs and Apple hardware is pricey. Get a bit of automation setup with some cloud storage (e.g backblaze B2) and you can have a machine ready to run... - Source: Hacker News / 6 months ago
I have heard vast.ai is cheap but I haven't tried it out. https://websiteinvesting.com/reviews/vast-ai-review/. Source: 6 months ago
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
iExec - Blockchain-Based Decentralized Cloud Computing.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Golem - Golem is a global, open sourced, decentralized supercomputer that anyone can access.
Frontegg - Elegant user management, tailor-made for B2B SaaS