Work · alternatives · 2026
24 alternatives to Blackmagic eGPU
High performance graphics accelerator
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Blackmagic eGPU launched in 2018; newer entries below may have overtaken it.
- 1
Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points. The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU: - LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series) The result: 1M points at 60fps with smooth zoom/pan. Live demo:…
Jan 2026 · github.com · its alternatives →
- 2
- 3
Hi everyone, I'm kinda involved in some retrogaming and with some experiments I ran into the following question: "It would be possible to run transformer models bypassing the cpu/ram, connecting the gpu to the nvme?" This is the result of that question itself and some weekend vibecoding (it has the linked library repository in the readme as well), it seems to work, even on consumer gpus, it should work better on professional ones tho
Feb 2026 · github.com · its alternatives →
- 4
Insights on GPU and AI infrastructure from Arc Compute. Read hardware deep-dives, deployment playbooks, and analysis of where the AI compute market is heading.
2021 · arccompute.com · its alternatives →
- 5
We ported pbrt-v4 to Julia and built it into a Makie backend. Any Makie plot can now be rendered with physically-based path tracing. Julia compiles user-defined physics directly into GPU kernels, so anyone can extend the ray tracer with new materials and media - a black hole with gravitational lensing is ~200 lines of Julia. Runs on AMD, NVIDIA, and CPU via KernelAbstractions.jl, with Metal coming soon. Demo scenes: github.com/SimonDanisch/RayDemo
Feb 2026 · makie.org · its alternatives →
- 6
NVIDIA Edify 3D▲342Scalable High-Quality 3D Asset Generation
2024 · research.nvidia.com · its alternatives →
- 7
WebGPU Tech Demo▲141WebGPU tech demo running in modern browsers showcasing various rendering techniques like deferred rendering with 400+ dynamic lights, Hi-Z screen space reflections and cascaded shadow mapping.
2024 · gnikoloff.github.io · its alternatives →
- 8
Supercharge gaming with DLSS 4, NVIDIA Studio, and AI
2025 · nvidia.com · its alternatives →
- 9
Shader Vision▲138Real-time GPU shader editor for spatial computing
2024 · shader.vision · its alternatives →
- 10GA
2016 · erkaman.github.io · its alternatives →
- 11
CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
2025 · hipscript.lights0123.com · its alternatives →
- 12
Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://oblivus.com/cloud - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be…
2023 · oblivus.com · its alternatives →
- 13CG
vEdge is a GPU cloud compute platform making computing affordable and accessible.
2021 · gpu.land · its alternatives →
- 14
Back in the old days, people used to do general-purpose GPU programming by using shaders like GLSL. This is what inspired NVIDIA (and other companies) to eventually create CUDA (and friends). This is an implementation of GPT-2 using WebGL and shaders. Enjoy!
2025 · github.com · its alternatives →
- 15TC
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://www.tensordock.com/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 →
- 16
Ultra-fast and customizable Python charts. Contribute to reflex-dev/xy development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
- 17
- 18
The world’s most powerful chip’ for AI
2024 · nvidia.com · its alternatives →
- 19
GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU. - last9/gpu-telemetry
Jul 2026 · github.com · its alternatives →
- 20
GPU Raytracer from scratch in C++/CUDA. Contribute to jan-van-bergen/GPU-Raytracer development by creating an account on GitHub.
2021 · github.com · its alternatives →
- 21
We added a new feature to our open-source HTML5 game engine today that allows you to create Sprite GPU Layers. These pack together simple JS object definitions onto the GPU and renders them using a custom vertex shader. This skips all CPU computation and GPU upload operations, resulting in vastly increased performance. For objects that don't need to be updated by input, physics, or other interactive behaviors, we found it to be a great solution. In testing, we've easily managed to blast millions of sprites around on moderate desktop-grade GPUs. Indeed, we hit the fill rate limitation of the…
2025 · phaser.io · its alternatives →
- 22
- 23
By attaching virtual GPUs through a new QEMU-based data plane, Kernel now offers GPU-accelerated cloud browsers that dramatically speed up agents on sites with canvas-heavy applications or more generally sites that rely on WebGL.
Mar 2026 · kernel.sh · its alternatives →
- 24
CPU & GPU with Zero Hassle Built with NVIDIA Warp, the same code runs seamlessly on both CPU and GPU — no need to deal with CUDA setup, driver issues, or device-specific kernels. Just flip one config line. Learn Modern Graphics the Easy Way Explore core concepts in differentiable rendering and parallel graphics programming — no need for expensive GPUs or thousands of lines of boilerplate. Minimalist & Educational This isn’t another massive codebase. It’s a clean, hackable implementation built for clarity — perfect for study, prototyping, or teaching yourself how Gaussian Splatting works.
2025 · github.com · its alternatives →
Also compare
- ChartGPU – WebGPU-powered charting library (1M points at 60fps) alternatives
- Effekt for macOS alternatives
- Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU alternatives
- vGPU and SR-IOV on consumer GPUs alternatives
- A physically-based GPU ray tracer written in Julia alternatives
- NVIDIA Edify 3D alternatives
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 →