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Deno Deploy
Hassle-free platform for serverless JavaScript applications
Develop locally in JavaScript or TypeScript, deploy in seconds globally and scale to billions of requests.
Hassle-free platform for serverless JavaScript applications
Develop locally in JavaScript or TypeScript, deploy in seconds globally and scale to billions of requests.
Deno Deploy | Deno
🍵What is AutoMQ
AutoMQ is a cloud-native, serverless reinvented Kafka that is easily scalable, manage-less and cost-effective.
🔶Why AutoMQ
AutoMQ is a cloud-native, serverless reinvented Kafka that is easily scalable, manage-less and cost-effective.
🔶Why AutoMQ
- Cloud Native : Built on cloud service. Every system design decision take cloud service's feature and billing items into consideration to offer best low-latency, scalable, reliable and cost-effective Kafka serv
AutoMQ • GitHub - AutoMQ/automq: A cloud native implementation for Apache Kafka, reducing your cloud infrastructure bill by up to 90%.
Serverless Postgres (experimental)
Serverless Postgres using Oriole, Fly Machines, and Tigris for S3 Storage.
Overview
This is a MVP for Serverless Postgres.
1/ It uses Fly.io, which can automatically pause your database after all connections are released (and start it again when new connections join).
2/ It uses Oriole, a Postgres extension with expe... See more
Serverless Postgres using Oriole, Fly Machines, and Tigris for S3 Storage.
Overview
This is a MVP for Serverless Postgres.
1/ It uses Fly.io, which can automatically pause your database after all connections are released (and start it again when new connections join).
2/ It uses Oriole, a Postgres extension with expe... See more
GitHub - kiwicopple/serverless-postgres
Bird Micro-Electric Mobility: Electric Bikes and Scooters For Cities
bird.coDeno, the next-generation JavaScript runtime
deno.com
CubeCoders AMP
cubecoders.com
2-5x faster 50% less memory local LLM finetuning
- Manual autograd engine - hand derived backprop steps.
- 2x to 5x faster than QLoRA. 50% less memory usage.
- All kernels written in OpenAI's Triton language.
- 0% loss in accuracy - no approximation methods - all exact.
- No change of hardware necessary. Supports NVIDIA GPUs since 2018+. Minimum CUDA Compute Cap