An email posted on X shows an AI startup offering its 128-GPU B300 cluster.
Why: "Our plans changed."
Whoever takes it over signs for 3 years.
Plans change. Rent what the work needs, for as long as it runs.
"What will you need next quarter?" Ask us at glows.ai
The cloud is not the product. Your first successful workload is.
Everything before that moment is friction: quotas, drivers, images, tickets.
Everything after it is building. We measure ourselves on how fast you get there.
We just started now!
Ask @KC_Ryosuke anything about AI user experience
nitter.cf/i/spaces/1NGarobDrMdJj
Tonight 8pm Taipei (UTC+8): KC from the Glows team hosts our AMA on X Spaces, in Mandarin. "How much can one person actually get done with AI?"
Set a reminder: nitter.cf/i/spaces/1NGarobDrMdJj
Glows bills per second, and a released instance stops billing: docs.glows.ai/docs/my-instan…
Clover-35B: open-weight diffusion LM (35B total, ~3B active), Apache 2.0.
Vendor figure: 680 tok/s on one GB300, BF16, batch 1, internal agent workloads.
BF16 weights are ~69 GB, so start with one 80 GB card.
How much can one person actually get done with AI?
This week KC from the Glows team hosts our AMA. Bring your tools, your shortcuts and the questions you have been saving.
🗓 Thu, Oct 29 · 8pm UTC+8
Set a reminder 👇
nitter.cf/i/spaces/1NGarobDrMdJj
Compute forecasting is hard enough to be an S-1 risk factor.
Anthropic commits to compute "months or years in advance."
It has "significantly underestimated" its needs before.
Guess high and take-or-pay bills you anyway.
How far ahead do you commit?
sec.gov/Archives/edgar/data/…
Same GPU. Same rate card. Very different bills.
On many clouds, spot GPUs don't have one fixed price.
There's a floor, it can float up close to on-demand, and it can change often.
Same card, different start time, different bill.
What did your last job actually pay per hour?
Open weights are free. 66GB of VRAM isn't.
Nanbeige4.3-33B: dense, Apache 2.0, 512K context.
Rough math: 33B × 2 bytes (BF16) ≈ 66GB, weights only.
4-bit in 24GB? Community says so. Untested by us.
GPU type, quantity, duration? We'll quote.
huggingface.co/Nanbeige/Nanb…
H200 rent: ~+160% since January 1.
B200: ~+120%. H100: ~+35%.
Even the six-year-old A100 rents for more than it did in January.
Tell us the GPU type, quantity and duration, and we'll quote.
Booking early, or waiting it out?
a16z.news/p/charts-of-the-we…
Flapping Airplanes raised a $1B Series A, co-led by Index and Lux, on one bet: more useful work from every GPU.
Builders can make it too: match the card to the job, keep it busy, give it back when done.
RTX 4090 from $0.49/hr. Send GPU model, quantity and duration for a quote.
GPU rental prices went up again this week, per Silicon Data:
H100 +10.3% to $2.88/hr
H200 +6.0% to $3.51/hr
B200 +9.0% to $6.29/hr
B300 +5.8% to $7.35/hr
Waiting for prices to fall has been a losing bet all year.
Tell us GPU type, quantity and duration — we'll send a quote.
Palantir says customers are fine-tuning NVIDIA Nemotron on their own data and keeping control of both. McCarthy tuned Nemotron 3 Nano 4B on RFIs.
By our math, a 4B LoRA starts on one 24GB card.
RTX 4090 from $0.49/hr. Send GPU model, quantity and duration for a quote.
GPU rental prices aren't going down.
IREN's co-CEO on CNBC: 2026 is largely sold out; new 3-year deals at more than 2x last year.
That's for people buying years. Most teams need days.
4090 from $0.49/hr, H100 from $2.96/hr, billed per second. Tell us GPU, how many, how long.