Linode Reviews

llama.cpp Reviews

Linode mentions (24)

• What is the cheapest VPS Hosting?

  I have an 11 GB VPS with Windows on it, and it’s running perfectly. I 100% recommend this hosting, because of it’s pricing and support. I give $8.25 a month for an 11 GB VPS. Which would cost up to $55 a month on popular hosting providers like, Linode, Vultr, and Digital Ocean. Source: about 4 years ago

• question for any linode users

  Anyone that hosts a server using the cloud provider linode.com Do you encounter any limits regarding the CPU speed? Source: about 4 years ago

• Linux OS

  One of my best recommendations is to spin up a linux server in the cloud, you can do it for free for a few months from linode.com for example. Setting up an online server for a game you like playing can also be a rewarding learning experience for networking and Linux in general. Source: about 4 years ago

• A2, Krystal, 20i, Brixly or Mechanicsweb. Best one for resellers?

  Then you can buy a VPS from linode.com, katapult.io, contabo.com or hetzner.cloud, I'd recommend a 4gb VPS, and in order to run, it has to be over 2gb. For the OS, choose AlmaLinux or a supported version of CentOS. Source: about 4 years ago

• An 'unlimited' web host has been deleting my files without any notice or warning..

  Use VPS, don't use shared web hosting when you generate content as it tends to use lots of resources like RAM, CPU %, and storage. I'd recommend hetzner.com, contabo.com, or linode.com. Source: about 4 years ago

llama.cpp mentions (13)

• Ask HN: How close are we to local LLM models being useful? What's the impact?

  A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 12 days ago

• llama-bench skipped FA on capable GPUs — b9437 corrects it

  Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / 16 days ago

• Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

  That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 1 month ago

• How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio

  LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 1 month ago

• Why MTP doesn't speed up your llama.cpp inference (and how to actually fix it)

  Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / about 2 months ago