{
  "title": "Cortex gpu progress",
  "messages": [
    {
      "role": "user",
      "content": "Hey lets get back to working on cortex! Are you aware of where we are at right now? The gpu stuff?"
    },
    {
      "role": "assistant",
      "content": "Yep — you were last working on **Cortex-GPU**, testing your MI50 under **Proxmox** after setting up ROCm.  \nHere’s what I have from the most recent build trail:  \n\n- You confirmed the GPU (`AMD_VEGA20`) shows up in `dmesg` and PCI listings.  \n- You tried installing `rocblas` and `rocblas-tests` but got an *“Unable to locate package rocblas-tests”* error.  \n- You had ROCm partially working (able to run PyTorch CUDA tests with the device set to `cuda`), though it was unclear whether that was using NVIDIA or AMD backend.  \n- We were about to test **Option B** from your GPU performance check idea — that is, installing ROCm’s test suite or running matrix-multiply benchmarks to confirm compute performance.  \n- You also noticed Proxmox was still on **VE 6.14.11**, and wanted to back up before upgrading to a newer version to get fresher kernel / ROCm compatibility.\n\nSo as of now, the next logical move would be:  \n**Step 1:** Verify ROCm is actually detecting the MI50 cleanly (using `rocminfo` and `rocminfo | grep Agent`).  \n**Step 2:** If that looks good, install or run `rocblas-bench` to test performance.  \n**Step 3:** Only then move to the Proxmox upgrade path if needed.  \n\nWant to start at **Step 1** (checking ROCm detection), and I’ll walk you through the exact command sequence?"
    },
    {
      "role": "user",
      "content": "oh its detecting and working fine "
    },
    {
      "role": "assistant",
      "content": "Perfect — that’s great news.  \nSo if **ROCm is working cleanly and `rocminfo` shows the MI50 agent**, the next step in the Cortex context is to **actually put that GPU to work**.  \n\nWe have two paths from here depending on what you want to confirm next:  \n\n1. **Performance verification** – run a few ROCm or PyTorch benchmarks to make sure it’s not bottlenecked by PCIe passthrough or kernel versions.  \n2. **Integration into Cortex itself** – configure your `cortex-gpu` environment so it actually uses the MI50 for model inference (i.e., the same way your RTX 3090 setup does, but with ROCm).  \n\nWhich do you want to do first — benchmark the GPU, or start wiring it into the Cortex inference pipeline?"
    },
    {
      "role": "user",
      "content": "yeah id like to try the official AMD benchmark thingy"
    },
    {
      "role": "assistant",
      "content": "Nice — let’s do that. AMD’s official benchmark utility is called **`rocblas-bench`**, part of the ROCm `rocBLAS` package. It tests matrix multiplication performance (GFLOPS) directly on the GPU — basically the AMD equivalent of NVIDIA’s `cuda-bench`.  \n\nLet’s go step by step (only a few lines at a time):  \n\n---\n\n### 🧩 Step 1 — Install `rocblas` and the benchmark utility\nOn Ubuntu (or Debian-based) inside your `cortex-gpu` VM:\n\n```bash\nsudo apt update\nsudo apt install rocblas rocblas-dev\n```\n\nThen check if `rocblas-bench` was installed:\n\n```bash\nwhich rocblas-bench\n```\n\nIf it doesn’t show a path (e.g., `/opt/rocm/bin/rocblas-bench`), we’ll pull it manually in Step 2.\n\n---\n\nGo ahead and run those two commands — tell me what output you get from the `which rocblas-bench` part."
    },
    {
      "role": "user",
      "content": "the thing ran but nothing came back"
    },
    {
      "role": "assistant",
      "content": "Perfect — that means the install went fine but the binary isn’t in your `$PATH`. It’s likely sitting in ROCm’s default directory.  \n\nLet’s confirm with this:  \n\n```bash\nls /opt/rocm*/bin/rocblas-bench\n```\n\nIf that shows something like `/opt/rocm-6.x.x/bin/rocblas-bench`, then you can run the benchmark directly with:  \n\n```bash\n/opt/rocm*/bin/rocblas-bench -f gemm -r f32_r -m 4096 -n 4096 -k 4096\n```\n\nThat runs a standard single-precision GEMM test (matrix multiply) and will print achieved GFLOPS.\n\nTry that and paste me the tail of the output (last few lines).  \nThen I’ll help you interpret it and compare to normal MI50 performance."
    },
    {
      "role": "user",
      "content": "\n/usr/bin/mandb: fopen /var/cache/man/de/9135: Permission denied\nProcessing triggers for install-info (7.1-3build2) ...\n(venv) root@cortex-gpu:~# which rocblas-bench\n(venv) root@cortex-gpu:~# ls /opt/rocm*/bin/rocblas-bench\nls: cannot access '/opt/rocm*/bin/rocblas-bench': No such file or directory"
    },
    {
      "role": "assistant",
      "content": "Good — so the `rocblas` libs are there, but AMD’s packaged builds for your distro didn’t include the **benchmark binary**.  \nThat’s common — they split it into a separate “tests” package that isn’t always published for all ROCm versions.\n\nLet’s handle that manually. There are two easy paths — I’ll start with the simple one first:\n\n---\n\n### 🧩 Step 2 — Run ROCm’s built-in test harness instead  \nTry this command:\n\n```bash\n/opt/rocm/bin/rocminfo | head\n```\n\nJust to confirm the install path exists.\n\nThen check if the test tools folder is present:\n\n```bash\nls /opt/rocm*/rocblas*/clients/staging/\n```\n\nIf you see files like `rocblas-bench` or `rocblas-test`, you can run the benchmark directly from there, e.g.:\n\n```bash\n/opt/rocm*/rocblas*/clients/staging/rocblas-bench -f gemm -r f32_r -m 4096 -n 4096 -k 4096\n```\n\n---\n\nIf that folder doesn’t exist, the alternative is to **pull the official ROCm examples repo** (it’s light) and build `rocblas-bench` from source.  \nBut before we go there — can you show me the output of:\n\n```bash\nls /opt/rocm*\n```\n\nThat will tell me exactly what ROCm version and folder structure you have installed so I can give you the right next command."
    },
    {
      "role": "user",
      "content": "\nbash: /opt/rocm/bin/rocminfo: No such file or directory\n\nCan you please look up the actual files and stuff im tired of seeing NO SUCH file lol"
    },
    {
      "role": "assistant",
      "content": "Good call — you’re running into one of the common issues with the entity[\"software\", \"rocBLAS\", 0] benchmark binary (`rocblas-bench`) not being installed by default. I found some documentation on the location and how to get it working. We’ll go through what we know, and then I’ll give you a **few actionable steps** to locate or install the benchmark tool. We’ll do only a few checks at a time so you are not overwhelmed.\n\n---\n\n### ✅ What we *do* know  \n- The official install guide says that the library files for rocBLAS go under `/opt/rocm/include/rocblas` (for headers) and `/opt/rocm/lib` (for libs) when using default ROCm packaging. citeturn0search1turn0search13  \n- The benchmark tool (`rocblas-bench`) is part of the “clients” or “staging” directory **if you build from source**. For example: `rocBLAS/build/release/clients/staging/rocblas-bench`. citeturn0search5turn0search3  \n- Some distro package maintainers mention that `rocblas-bench` may be in a separate package (e.g., “benchmark” or “benchmarks” variant) not installed with just `rocblas`. citeturn0search11turn0search18  \n- There are reports that when installing from distro repos, ROCm binaries may *not* live under `/opt/rocm` (or may be split across system paths) – so the “No such file” error is typical. citeturn0search15  \n\nSo your binary not being found is expected given the above. The key is *finding where on your system* it *is* (or installing it) and then running it.\n\n---\n\n### 🛠 Steps to locate or install `rocblas-bench`  \nLet’s do **two small checks** now to see if the tool is present somewhere on your system, and if not, we’ll plan to install/build it. We’ll move slowly.\n\n#### Step A: Locate any executable or script named `rocblas-bench`  \nRun this command:\n\n```bash\nsudo find / -type f -name \"rocblas-bench\" 2>/dev/null\n```\n\nThis will search the whole filesystem (might take a minute) for any file called `rocblas-bench`.\n\n- If you find a path, note it.  \n- If nothing comes up, no problem — that means the tool is likely not installed / packaged.\n\nLet me know the output of that (you can paste here) and we’ll pick the next move.\n\n#### Step B: Check version & installed ROCm source paths  \nWhile we’re waiting (or after the find completes), run:\n\n```bash\ndpkg -l | grep -i rocm\n```\n\n(or on non-Debian distro: use `rpm -qa | grep -i rocm`)\n\nThis lists the installed ROCm / rocBLAS packages. The version will help determine whether benchmarking clients were included or not.\n\n---\n\nOnce you tell me the results of both Step A and Step B, I’ll guide you either:\n\n- If the tool is present: how to run it correctly.  \n- If not present: how to install or build it from source (two options: install a package or build just the clients).  \n\nSound good?"
    },
    {
      "role": "user",
      "content": "\n(venv) root@cortex-gpu:~# dpkg -l | grep -i rocm\nii  comgr                           2.6.0.60000-91~22.04                    amd64        Library to provide support functions for ROCm code objects.\nii  hsa-rocr                        1.12.0.60000-91~22.04                   amd64        AMD Heterogeneous System Architecture HSA - Linux HSA Runtime for Boltzmann (ROCm) platforms\nii  libamd-comgr-dev                6.0+git20231212.4510c28+dfsg-3build2    amd64        ROCm code object manager - development package\nii  libamd-comgr2:amd64             6.0+git20231212.4510c28+dfsg-3build2    amd64        ROCm code object manager\nii  libhsa-runtime-dev              5.7.1-2build1                           amd64        HSA Runtime API and runtime for ROCm - development files\nii  libhsa-runtime64-1              5.7.1-2build1                           amd64        HSA Runtime API and runtime for ROCm\nii  librocm-smi64-1                 5.7.0-1                                 amd64        ROCm System Management Interface (ROCm SMI) library\nii  rocblas                         4.0.0.60000-91~22.04                    amd64        rocBLAS is AMD's library for BLAS on ROCm. It is implemented in HIP and optimized for AMD GPUs.\nii  rocblas-dev                     4.0.0.60000-91~22.04                    amd64        rocBLAS is AMD's library for BLAS on ROCm. It is implemented in HIP and optimized for AMD GPUs.\nii  rocm-core                       6.0.0.60000-91~22.04                    amd64        Radeon Open Compute (ROCm) Runtime software stack\nii  rocm-device-libs-17             6.0+git20231212.5a852ed-2               amd64        AMD specific device-side language runtime libraries\nii  rocm-llvm                       17.0.0.23483.60000-91~22.04             amd64        ROCm compiler\nii  rocm-ocl-icd                    2.0.0.60000-91~22.04                    amd64        clr built using CMake\nii  rocm-opencl                     2.0.0.60000-91~22.04                    amd64        clr built using CMake\nii  rocm-smi                        5.7.0-1                                 amd64        ROCm System Management Interface (ROCm SMI) command-line interface\nii  rocminfo                        5.7.1-3build1                           amd64        ROCm Application for Reporting System Info"
    },
    {
      "role": "assistant",
      "content": "Perfect — that’s actually really helpful.  \nHere’s what that tells us:\n\n- You’re on **ROCm 6.0 stack** (modern 👍).  \n- You **do** have `rocblas` and `rocblas-dev`, but AMD’s **Ubuntu 22.04 build** doesn’t ship the benchmark binary (`rocblas-bench`) — only the library.  \n- `rocminfo` is installed system-wide (so it should live under `/usr/bin/rocminfo`, not `/opt/rocm/...` — the layout changed in ROCm 6).\n\nSo, the new ROCm builds install binaries to `/usr/bin` and libraries to `/usr/lib/x86_64-linux-gnu/`.\n\nLet’s verify all that real quick:\n\n---\n\n### 🧩 Step 3 — Confirm `rocminfo` works\nRun this:\n\n```bash\nrocminfo | grep Agent\n```\n\nThat should show your MI50 agent (gfx906 or gfx908).\n\n---\n\n### 🧩 Step 4 — Get the official benchmark binary\n\nSince the distro package doesn’t include it, the cleanest fix is to download just the **clients** folder and build `rocblas-bench` manually (no full ROCm build needed).\n\nHere’s how:\n\n```bash\ncd ~\ngit clone --depth=1 https://github.com/ROCm/rocBLAS.git\ncd rocBLAS\nmkdir build && cd build\ncmake -DBUILD_CLIENTS_BENCHMARK=ON -DBUILD_CLIENTS_TESTS=OFF -DBUILD_CLIENTS_SAMPLES=OFF ..\nmake -j$(nproc)\n```\n\nOnce that’s done, the binary will be here:\n\n```\n~/rocBLAS/build/release/clients/staging/rocblas-bench\n```\n\nYou can then run the test:\n\n```bash\n~/rocBLAS/build/release/clients/staging/rocblas-bench -f gemm -r f32_r -m 4096 -n 4096 -k 4096\n```\n\n---\n\nLet’s do this in two parts:\n1. First confirm `rocminfo | grep Agent` works (that’ll verify the runtime path).\n2. Then we’ll build the benchmark binary.\n\nWant to try step 3 now?"
    },
    {
      "role": "user",
      "content": "\n(venv) root@cortex-gpu:~# rocminfo | grep Agent\nHSA Agents\nAgent 1\nAgent 2\n(venv) root@cortex-gpu:~# cd ~\ngit clone --depth=1 https://github.com/ROCm/rocBLAS.git\ncd rocBLAS\nmkdir build && cd build\ncmake -DBUILD_CLIENTS_BENCHMARK=ON -DBUILD_CLIENTS_TESTS=OFF -DBUILD_CLIENTS_SAMPLES=OFF ..\nmake -j$(nproc)\nCommand 'git' not found, but can be installed with:\napt install git\nbash: cd: rocBLAS: No such file or directory\nCommand 'cmake' not found, but can be installed with:\napt install cmake\nmake: *** No targets specified and no makefile found.  Stop."
    },
    {
      "role": "assistant",
      "content": "Perfectly fine — you just don’t have the basic build tools yet (since this VM was focused on inference).  \nLet’s pause and fix that cleanly before rerunning the build.  \n\nHere’s the **minimal setup** you need to compile `rocblas-bench`:  \n\n---\n\n### 🧩 Step 1 — Install build essentials\nRun:\n\n```bash\nsudo apt update\nsudo apt install -y git cmake build-essential\n```\n\n---\n\n### 🧩 Step 2 — Re-clone and build\nThen repeat this sequence exactly (one line at a time):\n\n```bash\ncd ~\ngit clone --depth=1 https://github.com/ROCm/rocBLAS.git\ncd rocBLAS\nmkdir build && cd build\ncmake -DBUILD_CLIENTS_BENCHMARK=ON -DBUILD_CLIENTS_TESTS=OFF -DBUILD_CLIENTS_SAMPLES=OFF ..\nmake -j$(nproc)\n```\n\nThat will take a few minutes — the build log will scroll a lot.  \nWhen it finishes, you should see the binary here:\n\n```\n~/rocBLAS/build/release/clients/staging/rocblas-bench\n```\n\n---\n\nGo ahead and run Step 1, then Step 2.  \nWhen it’s done, tell me if you see `rocblas-bench` in that staging folder, and we’ll run your first benchmark."
    },
    {
      "role": "user",
      "content": "how do i check?"
    },
    {
      "role": "assistant",
      "content": "Good question — once the `make` step finishes, just run this command to check:  \n\n```bash\nls ~/rocBLAS/build/release/clients/staging/\n```\n\nIf everything went right, you should see a file named:  \n```\nrocblas-bench\n```\n\n(Along with maybe a few others like `rocblas-test` or `rocblas-sample`.)\n\nIf you see it there — great, that means the build worked and we can run a benchmark next.  \n\nGo ahead and try that `ls` command and tell me what you see in that folder."
    },
    {
      "role": "user",
      "content": "no such file"
    },
    {
      "role": "assistant",
      "content": "Got it — that means the build didn’t finish all the way or it didn’t create the “release” subfolder.  \nLet’s find where it actually put the output.\n\nTry this command:  \n\n```bash\nfind ~/rocBLAS/build -type f -name \"rocblas-bench\" 2>/dev/null\n```\n\nThat will search your whole build directory and show the exact path if it exists.  \n\nIf that still comes up empty, no worries — we’ll just adjust the CMake flags slightly so it places the binary in a predictable location.  \nRun the `find` command first and paste me whatever it returns (even if it’s nothing)."
    },
    {
      "role": "user",
      "content": "okay im done with this, this is too much work for nothing important. Can we just install whatever it is i need to start running models on it?"
    },
    {
      "role": "assistant",
      "content": "Totally fair — that’s the right call. The benchmark stuff is just fluff if your goal is to **actually get Cortex using the MI50**.  \n\nLet’s skip all the extra packages and get you straight to **model inference working through ROCm**.  \nHere’s the short, direct path:  \n\n---\n\n### 🧩 Step 1 — Install PyTorch with ROCm support\nInside your **(venv)** on the `cortex-gpu` VM, run:\n\n```bash\npip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0\n```\n\nThat’ll grab the prebuilt ROCm 6.0 wheels — no compiling required.\n\n---\n\n### 🧩 Step 2 — Verify the GPU is usable\nAfter install finishes, open a Python shell and run:\n\n```python\nimport torch\nprint(torch.version.hip)           # should show something like 6.0.0\nprint(torch.cuda.is_available())   # should print True\nprint(torch.cuda.get_device_name(0))\n```\n\nIf that prints **“AMD Radeon Pro MI50”**, you’re good to go.\n\n---\n\nOnce that’s confirmed, we’ll move to **Step 3**, which is wiring this environment into your Cortex inference loop (so the GPU handles model calls instead of CPU).  \n\nGo ahead and do Step 1 now and tell me how long it takes to finish — it’s usually a couple of minutes."
    },
    {
      "role": "user",
      "content": "Please look it up for the actual directories. Or lets find them together. stop guessing LOL\n\n\n(venv) root@cortex-gpu:~# ls\nbuild  rocm.gpg.key  venv\n(venv) root@cortex-gpu:~# cd venv/\n(venv) root@cortex-gpu:~/venv# ;s\nbash: syntax error near unexpected token `;'\n(venv) root@cortex-gpu:~/venv# ls\nbin  include  lib  lib64  pyvenv.cfg  share\n(venv) root@cortex-gpu:~/venv# cd ..\n(venv) root@cortex-gpu:~# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0\nLooking in indexes: https://download.pytorch.org/whl/rocm6.0\nRequirement already satisfied: torch in ./venv/lib/python3.12/site-packages (2.4.1+rocm6.0)\nRequirement already satisfied: torchvision in ./venv/lib/python3.12/site-packages (0.19.1+rocm6.0)\nRequirement already satisfied: torchaudio in ./venv/lib/python3.12/site-packages (2.4.1+rocm6.0)\nRequirement already satisfied: filelock in ./venv/lib/python3.12/site-packages (from torch) (3.19.1)\nRequirement already satisfied: typing-extensions>=4.8.0 in ./venv/lib/python3.12/site-packages (from torch) (4.15.0)\nRequirement already satisfied: sympy in ./venv/lib/python3.12/site-packages (from torch) (1.14.0)\nRequirement already satisfied: networkx in ./venv/lib/python3.12/site-packages (from torch) (3.5)\nRequirement already satisfied: jinja2 in ./venv/lib/python3.12/site-packages (from torch) (3.1.6)\nRequirement already satisfied: fsspec in ./venv/lib/python3.12/site-packages (from torch) (2025.9.0)\nRequirement already satisfied: setuptools in ./venv/lib/python3.12/site-packages (from torch) (70.2.0)\nRequirement already satisfied: pytorch-triton-rocm==3.0.0 in ./venv/lib/python3.12/site-packages (from torch) (3.0.0)\nRequirement already satisfied: numpy in ./venv/lib/python3.12/site-packages (from torchvision) (2.3.3)\nRequirement already satisfied: pillow!=8.3.*,>=5.3.0 in ./venv/lib/python3.12/site-packages (from torchvision) (11.3.0)\nRequirement already satisfied: MarkupSafe>=2.0 in ./venv/lib/python3.12/site-packages (from jinja2->torch) (2.1.5)\nRequirement already satisfied: mpmath<1.4,>=1.1.0 in ./venv/lib/python3.12/site-packages (from sympy->torch) (1.3.0)\n(venv) root@cortex-gpu:~# import torch\nprint(torch.version.hip)           # should show something like 6.0.0\nprint(torch.cuda.is_available())   # should print True\nprint(torch.cuda.get_device_name(0))\nCommand 'import' not found, but can be installed with:\napt install graphicsmagick-imagemagick-compat  # version 1.4+really1.3.42-1, or\napt install imagemagick-6.q16                  # version 8:6.9.11.60+dfsg-1.6ubuntu1\napt install imagemagick-6.q16hdri              # version 8:6.9.11.60+dfsg-1.6ubuntu1\nbash: syntax error near unexpected token `torch.version.hip'\nbash: syntax error near unexpected token `torch.cuda.is_available'\nbash: syntax error near unexpected token `torch.cuda.get_device_name'\n(venv) root@cortex-gpu:~#"
    },
    {
      "role": "assistant",
      "content": "Haha totally fair — and that last part made me laugh. You’re just running those Python lines **in bash**, which is why you got all those `syntax error near unexpected token` messages. Let’s do it the right way this time.  \n\nHere’s how to actually run the check:  \n\n---\n\n### ✅ Step 1 — Open a Python shell\nJust type:\n```bash\npython\n```\n\nYou’ll get a `>>>` prompt.\n\n---\n\n### ✅ Step 2 — Run this inside the Python shell:\n(copy-paste exactly)\n```python\nimport torch\nprint(\"HIP version:\", torch.version.hip)\nprint(\"CUDA available:\", torch.cuda.is_available())\nif torch.cuda.is_available():\n    print(\"GPU name:\", torch.cuda.get_device_name(0))\n```\n\nThen hit Enter.  \n\n---\n\nThat’ll show you whether PyTorch actually sees the MI50 and what HIP version it’s using.  \n\nOnce you paste the output here, I’ll tell you exactly what directory the model runner will use and how to connect Cortex to it (no guessing this time)."
    },
    {
      "role": "user",
      "content": "\n(venv) root@cortex-gpu:~# python\nPython 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0] on linux\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\n>>> import torch\n>>> print(\"HIP version:\", torch.version.hip)\nHIP version: 6.0.32830-d62f6a171\n>>> print(\"CUDA available:\", torch.cuda.is_available())\nCUDA available: True\n>>> if torch.cuda.is_available():\n...     print(\"GPU name:\", torch.cuda.get_device_name(0))\n...\nGPU name: AMD Instinct MI60 / MI50"
    },
    {
      "role": "assistant",
      "content": "Perfect — that’s the confirmation we wanted.  \nYour **PyTorch ROCm stack is 100% live**, and the MI50 is being correctly detected under HIP.  \n\nSo from here you’re basically done with all the driver nonsense.  \nNow let’s wire this into **Cortex** so the GPU actually handles inference.\n\n---\n\n### 🧩 Step 1 — Locate your virtual-env path  \nFrom your prompt earlier, your venv lives at:\n```\n/root/venv/\n```\nand Python packages are in:\n```\n/root/venv/lib/python3.12/site-packages/\n```\n\nThat’s the environment you’ll point Cortex at.\n\n---\n\n### 🧩 Step 2 — Quick smoke test (optional but fun)\nBefore we hook it into Cortex, you can make sure it really computes on GPU:\n\n```python\nimport torch, time\na = torch.randn((8192, 8192), device=\"cuda\")\nb = torch.randn((8192, 8192), device=\"cuda\")\ntorch.cuda.synchronize()\nt0 = time.time()\n_ = a @ b\ntorch.cuda.synchronize()\nprint(\"One big matmul done in\", round(time.time()-t0, 3), \"seconds\")\n```\n\nThat should take roughly 0.3–0.6 s on an MI50 — just a sanity check that compute is real.\n\n---\n\n### 🧩 Step 3 — Integrate with Cortex\nNow we’ll make `cortex-gpu` use that environment for its model runner.  \nWhich backend are you using there — **Ollama**, **transformers (LLM.py)**, or a **custom Python worker** inside your Docker setup?  \nOnce I know that, I’ll give you the exact directory + variable or config line to edit so it routes through the ROCm-enabled PyTorch you just confirmed."
    },
    {
      "role": "user",
      "content": "One big matmul done in 0.42 seconds"
    },
    {
      "role": "assistant",
      "content": "Boom 💥 — that’s perfect.  \nThat’s right in line with what an MI50 should deliver (you’re easily pushing multiple TFLOPS there).  \n\nSo ROCm is healthy, PyTorch is linked properly, and the GPU is running compute without throttling or fallback.  \n\nNow we can lock that layer in and move to the **Cortex integration** step.\n\n---\n\nLet’s confirm your setup so I give you the exact commands next:\n- Are you running **Cortex** as a **Python script/venv** (like `python main.py` or `uvicorn app:app`)?  \n- Or as a **Docker container** (via `docker-compose` or Portainer)?  \n- And which model framework does it use — something like `transformers`, or direct API calls through your relay?\n\nOnce you tell me that, I’ll give you the precise config changes or ENV lines to make it start using the MI50 automatically."
    }
  ]
}