vGPU and SR-IOV on consumer GPUs
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.
vGPU and SR-IOV on consumer GPUs launched on October 21, 2021 with 203 votes, #133 of 2,933 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
vGPU and SR-IOV on consumer GPUs is a software tool that enables GPU virtualization features on consumer-grade graphics cards. It allows multiple virtual machines or applications to share a single GPU simultaneously, typically a capability found only in professional GPU products. The tool is designed for developers, researchers, and enterprises looking to maximize GPU resource utilization without purchasing expensive specialized hardware. It launched in 2021 and makes advanced GPU sharing technology accessible on standard consumer GPUs.
written from the facts on this page · September 2026
From the sources
Insights from the people building enterprise GPU infrastructure at scale. Hardware deep-dives, deployment playbooks, and unfiltered takes on where the AI compute market is heading. NVIDIA's Vera Rubin is sampling for late 2026 production. What 3.6 exaflops and HBM4 mean for power, cooling, and procurement amid a tightening memory supply. How to size, buy, deploy and manage AI infrastructure, from power and lead times to CAPEX, OPEX and utilization. DeepSeek V4-Pro needs 862 GB. Qwen3.6 fits on one GPU. That gap is the whole self-hosting decision, and this blog covers what it costs in memory, serving stack, and utilization. Most multi-node GPU clusters deliver less than teams paid for. How…from arccompute.com
Does a similar job
all alternatives →
Attaching to a virtual GPU over TCP2024 · thundercompute.com · ▲344We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.
Software for Remote GPU-over-IP2022 · github.com · ▲138We built installable software for Windows & Linux that makes any remote Nvidia GPU accessible to, and shareable across, any number of remote clients running local applications, all over standard networking.
L9gpu – GPU telemetry that ties each GPU to the K8s pod or Slurm jobJul 2026 · github.com · ▲20GPU 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
- TCTensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147
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…
- CGCloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP2021 · gpu.land · ▲168
vEdge is a GPU cloud compute platform making computing affordable and accessible.
- IMI made a GPU VRAM calculator for transformer-based models2023 · vram.asmirnov.xyz · ▲135
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, October 2021
the whole month →
AI powered Twitter growth & scheduling for makers
Growth · 2021 · tweethunter.io
CleanUp.Pictures▲750Remove objects and defects from your pictures - 100% free
AI · 2021 · cleanup.pictures
