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News FAUN.dev() Team
@kala shared an update, 4 months, 2 weeks ago
FAUN.dev()

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests

DeepSeekMath-V2

DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests
Link
@anjali shared a link, 4 months, 2 weeks ago
Customer Marketing Manager, Last9

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.

anamoly_detection
 Activity
@kala added a new tool DeepSeekMath-V2 , 4 months, 2 weeks ago.
News FAUN.dev() Team
@kala shared an update, 4 months, 2 weeks ago
FAUN.dev()

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

Ansible Lustre Slurm INTELLECT-3

INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
 Activity
@kala added a new tool INTELLECT-3 , 4 months, 2 weeks ago.
 Activity
@devopslinks added a new tool Lustre , 4 months, 2 weeks ago.
 Activity
@varbear added a new tool Slurm , 4 months, 2 weeks ago.
Course
@eon01 published a course, 4 months, 2 weeks ago
Founder, FAUN.dev

Cloud Native CI/CD with GitLab

GitLab GitLab CI/CD Helm Prometheus Docker GNU/Linux Kubernetes

From Commit to Production Ready

Cloud Native CI/CD with GitLab
Course
@eon01 published a course, 4 months, 2 weeks ago
Founder, FAUN.dev

Observability with Prometheus and Grafana

Prometheus Docker k3s Grafana GNU/Linux Kubernetes

A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems

Observability with Prometheus and Grafana
Course
@eon01 published a course, 4 months, 2 weeks ago
Founder, FAUN.dev

Cloud-Native Microservices With Kubernetes - 2nd Edition

Helm Jaeger OpenTelemetry Prometheus Docker Grafana Loki Grafana Kubernetes Kubectl

A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes

Cloud-Native Microservices With Kubernetes - 2nd Edition
Grafana Mimir is an open-source distributed time-series database developed by Grafana Labs, designed to store and query Prometheus metrics at massive scale. It provides a horizontally scalable, multi-tenant, and highly available backend that enables organizations to run Prometheus monitoring with virtually unlimited retention and capacity.

Mimir is built for modern observability stacks, offering features like query sharding, data compaction, object storage integration (S3, GCS, Azure Blob), and efficient deduplication for high cardinality workloads. It’s compatible with the Prometheus remote_write and remote_read APIs, making it easy to integrate into existing Prometheus ecosystems.

As part of the Grafana open observability suite, Mimir can be deployed independently or alongside Loki (for logs) and Tempo (for traces) to build a complete, scalable observability platform.