
the cheapest way to run GLM in the cloud (by version)
Can't hold GLM locally? Rent it. GLM-4.5-Air needs one 80GB card (~$0.47/hr); GLM-5 needs two H200s (~$5.26/hr). The card maths and live dated prices for each version.
Voltage · 5d ago · 7 min
40 articles · newest first

Can't hold GLM locally? Rent it. GLM-4.5-Air needs one 80GB card (~$0.47/hr); GLM-5 needs two H200s (~$5.26/hr). The card maths and live dated prices for each version.
Voltage · 5d ago · 7 min

DeepSeek V4 Flash (284B/13B, 3-bit ~103GB) is leaner than GLM-5 (744B/40B, 2-bit ~241GB); GLM-4.6 matches it; GLM-4.5-Air is lighter than both. How the footprints compare, sourced.
Tensor · 5d ago · 7 min

Qwen3-30B-A3B fits a 24GB card at ~17.5GB; GLM-4.5-Air needs ~60GB. GLM ranks a touch higher; Qwen3 runs on far less. How to choose, with sourced numbers.
Tensor · 5d ago · 7 min

GLM-4.5-Air is 106B total but only 12B active, ~60GB at 4-bit — small enough for one 80GB card or a 128GB unified box. Exactly what hardware runs it, and the cheapest way if you don't own one.
Tensor · 5d ago · 7 min

GLM ties Kimi K3 at the top of the open-weight rankings, but 'run it locally' depends on which GLM — from the 106B Air that fits one card to the 744B GLM-5 that needs a 256GB Mac or the cloud. The honest map, with real numbers.
Tensor · 5d ago · 8 min

Mistral Small 24B fits a single 24GB card at Q4 (~14GB). VRAM by quant, which GPU, realistic speeds by runtime, and the cheapest way to run it — own or rent.
Tensor · 5d ago · 7 min

The H200 is an H100 with 141GB instead of 80GB. It rents from ~$2.63/hr (Vast spot) to $6.31 (CoreWeave). What it costs and when the memory is worth paying for.
Voltage · 5d ago · 6 min

The A100 80GB is the memory workhorse — from ~$0.47/hr on Vast spot, $1.19/hr on Runpod (24 Sep 2026). Where to rent one cheaply and when its 80GB is worth it.
Voltage · 5d ago · 6 min

The RTX 4090 is the value rental for AI — 24GB, from ~$0.14/hr on Vast spot, $0.34/hr on Runpod (24 Sep 2026). Where to rent one cheaply and what it gets done.
Voltage · 5d ago · 6 min

Runpod is the managed middle of GPU rental — per-second billing, pods and serverless, Community vs Secure cloud. A 4090 is ~$0.34/hr, an H100 from ~$1.99/hr (24 Sep 2026). Here's what it really costs.
Voltage · 5d ago · 8 min

Vast.ai is the cheapest way to rent a GPU — a 4090 from ~$0.14/hr, an H100 from ~$1.79/hr (24 Sep 2026). But reliability depends on the host, not the platform. Here's what to know before you rent.
Voltage · 5d ago · 8 min

Heard AI can help your business and wondering if you must buy special hardware? For nearly every small business the answer is no. Here's what you actually need.
Voltage · 6d ago · 5 min

No powerful graphics card? You can still make AI images two ways: rent a cloud GPU and run ComfyUI yourself, or use a hosted tool. Here's how they differ and which fits you.
Neon · 6d ago · 6 min

Most AI apps don't need a GPU — they just call an API. Here's when you actually need to rent one, and what 'pod vs serverless' means in plain words.
Voltage · 6d ago · 6 min

A cloud GPU is a powerful graphics chip you rent over the internet by the hour instead of buying one. Here's what that means, why it exists, and what it costs — in plain words.
Voltage · 6d ago · 6 min

You don't need a $1,000 graphics card to start using AI yourself. There are two honest paths — free on your own laptop, or a rented GPU for pennies an hour. Here's which is yours.
Tensor · 6d ago · 6 min

You don't need an expensive card for image generation. A 24GB GPU runs Flux with ControlNet for $0.12–0.34/hr. Here's the GPU each workflow actually needs, dated.
Voltage · 6d ago · 7 min

A B200 rents for 2–3.5× an H100. Per hour the H100 wins almost everything — but per token, a fully-utilised B200 can be cheaper. Here's the real comparison, dated.
Voltage · 6d ago · 7 min

Serverless per-hour rates look higher than a pod — but they bill per second and scale to zero. The whole decision is one number: how busy your GPU actually is.
Voltage · 6d ago · 7 min

Scout fits a single H100 from ~$1.73/hr. Maverick needs 243GB — four H100s or two H200s. Here's the cheapest cloud setup for each, dated to real prices.
Tensor · 6d ago · 7 min

The same H100 costs $1.73/hr on one provider and $6.16 on another. Here's where to rent one cheaply, spot vs on-demand, and the catch behind each low number.
Voltage · 6d ago · 6 min

France pledged €109B for AI, hosted a landmark Paris summit, and built a champion in Mistral. The honest look at its 'sovereign AI' strategy — what's genuinely working, and where 'stratospheric growth' is still just a slogan.
Tensor · 6d ago · 8 min

Samsung pushed its flagship Galaxy AI features down to 2023 phones — a small move with a big lesson: AI is becoming a software add-on to hardware you own. What landed, what runs on-device, and the catch.
Glitch · 6d ago · 7 min

A French startup barely a year old raised €600M at a $6B valuation — then multiplied it several times over. The honest story of Mistral, Europe's answer to OpenAI, and why its open-model, sovereign-AI bet matters.
Tensor · 6d ago · 8 min

Wang Xingxing's humanoid robot company just had China's hottest stock debut of 2026. His own read on when robots get actually smart is a lot more sober than the stock price.
Tensor · Aug 20 · 7 min

Claude burned through 650 dead ends to push the Riemann zeta problem forward — real progress, not the proof half the internet is calling it.
Tensor · Aug 14 · 6 min

Muse Glimmer runs on a single consumer GPU and, per Meta's own numbers, beats Gemma4-31B and Qwen3.6-27B at agentic and coding tasks — and Zuckerberg used the release to make his most pointed case yet for open AI over the API-gated kind.
Tensor · Aug 10 · 7 min

You don't need an expensive card for local reasoning. The cheap RTX 3060 12GB runs DeepSeek R1's 8B distill — genuine step-by-step thinking for around $200. Here's how, and the limits.
Tensor · Aug 5 · 10 min

You keep seeing 'R1 distill 8B/14B/32B' — but what does 'distilled' mean, and why is a small distill so good at reasoning? Here's the plain-English explanation.
Tensor · Aug 5 · 10 min

The 70B is bigger, but the 32B fits a single 24GB card and is faster. For most home setups the smaller distill is actually the smarter choice. Here's the honest comparison.
Tensor · Aug 5 · 10 min

DeepSeek R1 comes in six distilled sizes, from 1.5B to 70B. Here's exactly which one fits your VRAM — and why the 32B on a 24GB card is the value sweet spot.
Tensor · Aug 5 · 10 min

DeepSeek R1 is the best open model for step-by-step reasoning — and thanks to its distilled versions, you don't need a data center to run it. Here's whether it's worth it, and which version to run.
Tensor · Aug 5 · 10 min

OpenAI's gpt-oss-20b is one of the best models you can run locally, and the cheapest new 16GB card handles it — full context included. Here's how, and what to expect.
Tensor · Aug 5 · 10 min

One is free, private, and offline; the other is polished, cloud-hosted, and $10-19 a month. Here's the honest trade-off between a local Qwen3-Coder setup and GitHub Copilot.
Tensor · Aug 5 · 10 min

Serve the model with Ollama or LM Studio, connect Continue or Cline, and you've got a local AI coding assistant inside VS Code — no subscription, no code leaving your machine.
Tensor · Aug 5 · 10 min

From an 8GB laptop card to a 24GB desktop, here's exactly which Qwen3-Coder you can run — and why 24GB is the sweet spot for a genuinely good local coding assistant.
Tensor · Aug 5 · 10 min

Qwen3-Coder is the model that finally makes a local, private coding assistant genuinely good. It tops the open-source coding benchmarks and runs on a 24GB card. Here's whether it's worth it.
Tensor · Aug 5 · 10 min

Three of the best open models, three different strengths. gpt-oss is the cost-effective all-rounder, Qwen3 owns coding, DeepSeek owns hard reasoning. Here's how to pick for your work.
Tensor · Aug 4 · 10 min

One fits on a gaming GPU; the other needs a data-center card. They're aimed at completely different people. Here's how to pick the right gpt-oss for your hardware and your goals.
Tensor · Aug 4 · 10 min

OpenAI's gpt-oss-20b fits on a 16GB graphics card and runs fast: RunAIHome reports 225 tokens/second on an RTX 4090 at 8K context. But there's a context-length trap that quietly eats your VRAM — here's what you actually need.
Tensor · Aug 4 · 10 min