Visual gen workloads are bursty: heavy render, then silence. Self-hosting means paying for the silence.
Pixel Factory: image + video generation as an API. Pay for what you generate, not the idle between jobs.
https://t.co/m6XnJ8jQHs
The neocloud race is now a fight over electricity, not GPUs - "power wars"(Data Center Knowledge, 2026).
When power is the constraint, waste costs money AND megawatts.
packet•ai: waste less compute. Per-second, auto-shutdown, right-sized.
https://t.co/NfqvQwr2Fm
GPU prices are up in 2026 partly because of GPUs bought and never used - plus HBM3e ~+20% (VentureBeat).
Over-provisioning locks in cost twice: hardware, then idle.
packet•ai: on-demand, Simple, transparent pricing, no procurement cycle.
https://t.co/qmtBJvIVe4
5 open models, 1 96GB GPU:
All-rounder → Llama 70B
Fast serving → Llama 70B AWQ
Reasoning → DeepSeek R1 32B
Multilingual → Qwen 72B
Volume tasks → Gemma 27B
The right answer is usually two, plus a router.
Deploy Now and see for yourself:
https://t.co/kD5FAo7uu9
A100 Monthly Subscriptions are now live on Packet•ai.
Dedicated GPU capacity, predictable pricing, lower effective hourly costs, and self-service provisioning
all in a few clicks.
Click here to know more -> https://t.co/oCUg3hSF0s
To get B200 on AWS: apply, wait, negotiate a cluster minimum, sign a contract.
To get B200 on packet•ai: join a waitlist. We go live very soon. First access goes to the queue.
JOIN THE WAITLIST NOW - https://t.co/12XIVaa2eT
JOIN THE WAITLIST NOW→ https://t.co/lJTaH1gBvH
MLPerf Inference v5.0, Supermicro, April 2025:
8x B200 = 3x the tokens/sec of 8x H200 on Llama 405B.
Third-party. Published methodology. Anyone can verify. Not our slides. Not our lab.
At $3.75/hr only on packet•ai
The $10/hr you save vs AWS B200 buys:
→ 1 more engineer
→ 6 months more runway
→ 200 more experiments
Same NVIDIA silicon. Different math.
packet•ai B200: $3.75/hr.
JOIN THE WAITLIST NOW → https://t.co/YmHZN0T7kw
JOIN THE WAITLIST NOW - https://t.co/I0tP1itQan
B200 Spec's -
192GB VRAM. 8 TB/s bandwidth.
FP4 20PF 15× faster inference than H100.
B200 going LIVE only on packet•ai VERY SOON at $3.75/hr.
ACT FAST MORE PEOPLE ARE JOINING THE WAITLIST AS WE SPEAK.
JOIN THE WAITLIST NOW - https://t.co/I0tP1itQan
B200 Spec's -
192GB VRAM. 8 TB/s bandwidth.
FP4 20PF 15× faster inference than H100.
B200 going LIVE only on packet•ai VERY SOON at $3.75/hr.
ACT FAST MORE PEOPLE ARE JOINING THE WAITLIST AS WE SPEAK.
packet•ai B200 goes live next week.
$3.75/hr. 192GB.
One question: What's the first workload you'd run on it?
JOIN THE WAITLIST NOW → https://t.co/ozxIR7t7tl
#B200#LLM#The_Beast
Many teams have already joined the packet•ai B200 waitlist.
They've seen the specs.
They've done the math.
They signed up. You haven't yet.
$3.75/hr. 192GB.
JOIN THE WAITLIST NOW → https://t.co/ngOQxGytVx
Going Live Very Soon
#B200#AI#The_Beast
JOIN THE WAITLIST NOW→https://t.co/PUplWzHq0m
AWS p5.48xlarge H100: $6.66/hr/GPU
Azure NDH100v5 H100: $12.29/hr/GPU
packet•ai B200: $3.75/hr/GPU
Same NVIDIA silicon. 44% cheaper than AWS. 70% cheaper than Azure. This isn't a discount. This is our entire business model
JOIN THE WAITLIST NOW - https://t.co/iwqb2WOBd5
GOING LIVE VERY SOON
Llama 3.1 70B at full FP16 precision.
On H100: needs 2 GPUs. Minimum.
On B200: 1 GPU. 52GB VRAM to spare.
One node. One process. No tensor parallelism.
$3.75/hr at packet•ai
#LLM#GPU#B200
JOIN THE WAITLIST NOW, LIVE SOON→
https://t.co/ybBRYQcoZE
Running 2x B200s 24/7 for a month:
AWS: $20,505
packet•ai: $5,400
$15,000/month difference.
Same GPU. Same performance.
That's runway. That's headcount. That's 6 months of experiments.
#AI#GPU
JOIN THE WAITLIST NOW - https://t.co/g8b0VBeTJP
GOING LIVE VERY SOON
B200 on AWS: $14.24/hr
B200 on RunPod: $5.89/hr
B200 on Vast•ai: $6.03/hr
B200 on packet•ai: $3.75/hr
Same GPU. Same 180GB. Same NVIDIA.
#B200#GPU
H100 cluster on AWS: ~$98/hr for 8 GPUs
so, that's 6.88$/hr/GPU 😱
Our B200 (3x the output of those H100s): $3.75/hr/GPU/hr 😎
The math doesn't lie.
JOIN THE WAITLIST NOW - 👇
https://t.co/6y36VNuAjZ
#B200#AI#NVIDIA#The_Beast
We've had B200 waitlist for months.
VERY SOON it's going live.
If you've been waiting - you're first.
If you haven't joined - there's still time.
$3.75/hr/hr. 15x H100 inference.
https://t.co/zx0KK9J9Fl #B200
Most startups don’t need giant GPU clusters.
They need enough VRAM to avoid infra headaches.
That’s why RTX PRO 6000 setups are getting attention for:
• long-context inference
• multimodal AI
• agentic workflows
Sometimes simpler infrastructure wins.
https://t.co/jM4Fm4Term
Things that take longer than spinning up a GPU on packet•ai:
Making a coffee.
Writing the Slack message explaining why it isn't ready.
Your cloud provider's sales rep responding.
The hold music on most support lines.
Reading this post.
https://t.co/H9TeOTre58