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AI · alternatives · 2026

24 alternatives to DeepGEMM

Unlock Maximum FP8 Performance on Hopper GPUs

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    New open-source LLM that rivals o3 in coding & reasoning

    2025 · huggingface.co · its alternatives →

  2. 2

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  3. 3

    Faster LLM Inference on Hopper GPUs

    2025 · github.com · its alternatives →

  4. 4WM

    Try it out! https:&#x2F;&#x2F;glhf.chat&#x2F; Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…

    2024 · glhf.chat · its alternatives →

  5. 5

    The open-source era of 1M context intelligence

    Apr 2026 · huggingface.co · its alternatives →

  6. 6

    Long-context efficiency with DeepSeek Sparse Attention

    2025 · huggingface.co · its alternatives →

  7. 7
    Floyd▲469

    Heroku for deep learning

    2017 · blog.floydhub.com · its alternatives →

  8. 8PO

    Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http:&#x2F;&#x2F;vertex.ai&#x2F;blog&#x2F;announcing-plaidml https:&#x2F;&#x2F;github.com&#x2F;plaidml&#x2F;plaidml

    2017 · its alternatives →

  9. 9

    Advanced visual-text compression technology

    2025 · huggingface.co · its alternatives →

  10. 10SS

    Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k&#x2F;month. Most developers only need 15-25 tok&#x2F;s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5&#x2F;mo for smaller models. The LLMs are completely private (we don't log any traffic). The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.

    Apr 2026 · sllm.cloud · its alternatives →

  11. 11

    Composable agent harness where everything is a plugin

    Aug 2026 · github.com · its alternatives →

  12. 12
    DeepEP▲16

    Powering DeepSeek-V3's MoE Performance

    2025 · github.com · its alternatives →

  13. 13

    An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack

    2016 · github.com · its alternatives →

  14. 14CG

    vEdge is a GPU cloud compute platform making computing affordable and accessible.

    2021 · gpu.land · its alternatives →

  15. 15

    Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm

    May 2026 · github.com · its alternatives →

  16. 16

    Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. - MakazhanAlpamys/Soup

    Aug 2026 · github.com · its alternatives →

  17. 17
    RunInfra▲156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai · its alternatives →

  18. 18

    dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters.

    2024 · dstack.ai · its alternatives →

  19. 19

    Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…

    2024 · getindexify.ai · its alternatives →

  20. 20
    DSH Desktopfree▲176

    Official app for DeepSeek’s open-source agent harness

    23d ago · deepseek.com · its alternatives →

  21. 21TC

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https:&#x2F;&#x2F;www.tensordock.com&#x2F;product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

    2022 · tensordock.com · its alternatives →

  22. 22

    Hi HN, I’m Joe. My friends Matthew, Jake and I are building Luminal (https:&#x2F;&#x2F;luminalai.com&#x2F;), a GPU compiler for automatically generating fast GPU kernels for AI models. It uses search-based compilation to achieve high performance. We take high level model code, like you'd have in PyTorch, and generate very fast GPU code. We do that without using LLMs or AI - rather, we pose it as a search problem. Our compiler builds a search space, generates millions of possible kernels, and then searches through it to minimize runtime. You can try out a demo in `demos&#x2F;matmul` on mac to…

    2025 · github.com · its alternatives →

  23. 23IM
  24. 24

    A fun project that I built to try out R1 Distill Llama 70B. Enjoy :)

    2025 · hn-wrapped.kadoa.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →