so when the fuck do we start getting cheap used datacenter shit dumped on the market. i want my computer to be a horrible pile of E1.S L ruler SSDs and SXM5 GPU compute modules adapted to fit consumer interfaces with parts from shenzhen/taiwan
December 5, 2025 at 7:58 PM
so when the fuck do we start getting cheap used datacenter shit dumped on the market. i want my computer to be a horrible pile of E1.S L ruler SSDs and SXM5 GPU compute modules adapted to fit consumer interfaces with parts from shenzhen/taiwan
youtu.be/tC1aIJCB9oA?...
NVIDIA Tesla H200 enables super-fast reliable analytics and scientific computing
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NVIDIA Tesla H200 enables super-fast reliable analytics and scientific computing
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NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning - @NVIDIA #h200 #sxm5 #141gb #gpu
YouTube video by sonic components
youtu.be
July 10, 2026 at 7:59 PM
youtu.be/tC1aIJCB9oA?...
NVIDIA Tesla H200 enables super-fast reliable analytics and scientific computing
#NVIDIAH200 #SXM5 #HBM3e #NVIDIAHopper #TensorCore #NVIDIAGPU #EnterpriseHardware #DeepLearning #ArtificialIntelligence #GenerativeAI #MachineLearning #LLM #NeuralNetworks #DataCenter
NVIDIA Tesla H200 enables super-fast reliable analytics and scientific computing
#NVIDIAH200 #SXM5 #HBM3e #NVIDIAHopper #TensorCore #NVIDIAGPU #EnterpriseHardware #DeepLearning #ArtificialIntelligence #GenerativeAI #MachineLearning #LLM #NeuralNetworks #DataCenter
I Excel'd the power cons of Google's deal with Elon Musk's fossil-fuelled data centre. Took me ~10 seconds
Claude returned a similar answer, but consumed as much energy as **fully discharging** two smartphones, to do it
This is why the shift to reliance on LLMs bloats energy consumption so badly
Claude returned a similar answer, but consumed as much energy as **fully discharging** two smartphones, to do it
This is why the shift to reliance on LLMs bloats energy consumption so badly
June 12, 2026 at 6:40 PM
I Excel'd the power cons of Google's deal with Elon Musk's fossil-fuelled data centre. Took me ~10 seconds
Claude returned a similar answer, but consumed as much energy as **fully discharging** two smartphones, to do it
This is why the shift to reliance on LLMs bloats energy consumption so badly
Claude returned a similar answer, but consumed as much energy as **fully discharging** two smartphones, to do it
This is why the shift to reliance on LLMs bloats energy consumption so badly
Your fine-tune fits on one 80GB card, so renting eight is money you do not need to spend.
A single H100 SXM5 comes with 14 vCPUs and 122 GiB of RAM, launches in minutes, and runs $2.89 an hour.
A single H100 SXM5 comes with 14 vCPUs and 122 GiB of RAM, launches in minutes, and runs $2.89 an hour.
NVIDIA H100 SXM5 GPU Use Cases on Massed Compute - Massed Compute
Launch 1x or 8x NVIDIA H100 SXM5 on Massed Compute for 70B-class serve, long context, and NVLink train. 1x is $2.89/hr as of 16 September 2026.
massedcompute.com
September 25, 2026 at 3:07 PM
Your fine-tune fits on one 80GB card, so renting eight is money you do not need to spend.
A single H100 SXM5 comes with 14 vCPUs and 122 GiB of RAM, launches in minutes, and runs $2.89 an hour.
A single H100 SXM5 comes with 14 vCPUs and 122 GiB of RAM, launches in minutes, and runs $2.89 an hour.
It reminds me of the H100 SXM5 modules, they are also incredibly dense, maybe even more so than 5090 FE.
January 9, 2025 at 4:57 PM
It reminds me of the H100 SXM5 modules, they are also incredibly dense, maybe even more so than 5090 FE.
Your 70B model will not fit on one 80GB card, and splitting it across slow links drags every step.
An 8x H100 SXM5 node holds 640GB of HBM3 with all eight cards on NVLink mesh at 900 GB/s, room for a 70B model in BF16. $25.12 an hour.
https://massedcompute.com/nvidia-h100-sxm5-gpu-use-cases/
An 8x H100 SXM5 node holds 640GB of HBM3 with all eight cards on NVLink mesh at 900 GB/s, room for a 70B model in BF16. $25.12 an hour.
https://massedcompute.com/nvidia-h100-sxm5-gpu-use-cases/
September 21, 2026 at 3:05 PM
Your 70B model will not fit on one 80GB card, and splitting it across slow links drags every step.
An 8x H100 SXM5 node holds 640GB of HBM3 with all eight cards on NVLink mesh at 900 GB/s, room for a 70B model in BF16. $25.12 an hour.
https://massedcompute.com/nvidia-h100-sxm5-gpu-use-cases/
An 8x H100 SXM5 node holds 640GB of HBM3 with all eight cards on NVLink mesh at 900 GB/s, room for a 70B model in BF16. $25.12 an hour.
https://massedcompute.com/nvidia-h100-sxm5-gpu-use-cases/
NVIDIA H100 SXM5 Enterprise AI Accelerator @NVIDIA #h100 #80gb #sxm5 #gp... youtu.be/yY1OhbQqaB0?... via @YouTube @nvidia.bsky.social #h100 #sxm5 #80gb #AI #HPC #DataCenter #DeepLearning #Supercomputing
NVIDIA H100 SXM5 Enterprise AI Accelerator @NVIDIA #h100 #80gb #sxm5 #gpu #tencore #hbm3
YouTube video by sonic components
youtu.be
April 13, 2026 at 7:59 AM
NVIDIA H100 SXM5 Enterprise AI Accelerator @NVIDIA #h100 #80gb #sxm5 #gp... youtu.be/yY1OhbQqaB0?... via @YouTube @nvidia.bsky.social #h100 #sxm5 #80gb #AI #HPC #DataCenter #DeepLearning #Supercomputing
Check this #cloud offer from Voltage Park🚀
👉 4 * H100 SXM5 for $1.99 GPU/hour!!!
Book here: gpucompare.com/providers/vo...
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👉 4 * H100 SXM5 for $1.99 GPU/hour!!!
Book here: gpucompare.com/providers/vo...
#cloud #ai #machinelearning #gpu
November 28, 2025 at 5:01 PM
Check this #cloud offer from Voltage Park🚀
👉 4 * H100 SXM5 for $1.99 GPU/hour!!!
Book here: gpucompare.com/providers/vo...
#cloud #ai #machinelearning #gpu
👉 4 * H100 SXM5 for $1.99 GPU/hour!!!
Book here: gpucompare.com/providers/vo...
#cloud #ai #machinelearning #gpu
www.soniccomponents.com/product/nvid...
NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning @nvidia #h200 #sxm5 #141GB #hmbe3 #ac #gpu #tensor @soniccomponents.bsky.social
NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning @nvidia #h200 #sxm5 #141GB #hmbe3 #ac #gpu #tensor @soniccomponents.bsky.social
NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning - Sonic Components
NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning
www.soniccomponents.com
February 6, 2025 at 8:49 PM
www.soniccomponents.com/product/nvid...
NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning @nvidia #h200 #sxm5 #141GB #hmbe3 #ac #gpu #tensor @soniccomponents.bsky.social
NVIDIA H200 SXM5 141GB HBM3e AC GPU, Tensor Core, Deep Learning @nvidia #h200 #sxm5 #141GB #hmbe3 #ac #gpu #tensor @soniccomponents.bsky.social
Spotted this on Divisadero tonight. San Francisco really is becoming a crypto bro dystopia.
January 8, 2025 at 3:00 AM
Spotted this on Divisadero tonight. San Francisco really is becoming a crypto bro dystopia.
3-400W feels low. H100 TDP on SXM5 is like 700W. Assume you're aiming for about 70% utilization and you're talking closer to 500W. Also, frontier models are spreading out layers across more than one GPU. I would suspect that the instantaneous usage is more like 4kW.
...for like 0.3-0.6Wh per
...for like 0.3-0.6Wh per
December 18, 2025 at 9:03 PM
3-400W feels low. H100 TDP on SXM5 is like 700W. Assume you're aiming for about 70% utilization and you're talking closer to 500W. Also, frontier models are spreading out layers across more than one GPU. I would suspect that the instantaneous usage is more like 4kW.
...for like 0.3-0.6Wh per
...for like 0.3-0.6Wh per
Check this #clusters offer from SubModel 🚀
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Book here: gpucompare.com/clusters/opp...
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October 17, 2025 at 4:05 PM
Check this #clusters offer from SubModel 🚀
👉 1024 * H200 SXM5 141 GB for $1.69/GPU/hour!!!
Book here: gpucompare.com/clusters/opp...
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DeepSeek V4.1 Flash ran at 9.7 decode tokens per second on 8x RTX PRO 6000 Blackwell, more than twice the rate of 8x H100 SXM5 and at a lower hourly price. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gpu-benchmark
September 19, 2026 at 6:02 PM
DeepSeek V4.1 Flash ran at 9.7 decode tokens per second on 8x RTX PRO 6000 Blackwell, more than twice the rate of 8x H100 SXM5 and at a lower hourly price. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gpu-benchmark
Instant Clusters – now available at the same price per GPU as VMs: $2.90/h ✅
→ 16x-64x H200 SXM5 141GB with 3.2 Tb/s InfiniBand™ interconnect
→ Pre-installed Slurm for easy job scheduling
→ Self-service access without approvals
→ 1-day contracts
cloud.datacrunch.io/signin?utm_s...
→ 16x-64x H200 SXM5 141GB with 3.2 Tb/s InfiniBand™ interconnect
→ Pre-installed Slurm for easy job scheduling
→ Self-service access without approvals
→ 1-day contracts
cloud.datacrunch.io/signin?utm_s...
July 4, 2025 at 12:57 PM
Instant Clusters – now available at the same price per GPU as VMs: $2.90/h ✅
→ 16x-64x H200 SXM5 141GB with 3.2 Tb/s InfiniBand™ interconnect
→ Pre-installed Slurm for easy job scheduling
→ Self-service access without approvals
→ 1-day contracts
cloud.datacrunch.io/signin?utm_s...
→ 16x-64x H200 SXM5 141GB with 3.2 Tb/s InfiniBand™ interconnect
→ Pre-installed Slurm for easy job scheduling
→ Self-service access without approvals
→ 1-day contracts
cloud.datacrunch.io/signin?utm_s...
I wonder if that's already SXM6, aka Blackwell (B100/B200).
Not in that industry anymore, but I haven't seen the SXM5/H100 modules with a "portrait" layout before.
That might be why they were ✨ extra spicy ✨ around this topic 😆
Not in that industry anymore, but I haven't seen the SXM5/H100 modules with a "portrait" layout before.
That might be why they were ✨ extra spicy ✨ around this topic 😆
November 17, 2024 at 9:54 PM
I wonder if that's already SXM6, aka Blackwell (B100/B200).
Not in that industry anymore, but I haven't seen the SXM5/H100 modules with a "portrait" layout before.
That might be why they were ✨ extra spicy ✨ around this topic 😆
Not in that industry anymore, but I haven't seen the SXM5/H100 modules with a "portrait" layout before.
That might be why they were ✨ extra spicy ✨ around this topic 😆
Okay my favorite part of all this from a hardware standpoint is each new generation ***isn't backwards compatible*** they're not shipping pcie datacenter racks, they're shipping sxm5 which isn't compatible with sxm2/3/4 etc.
They're LOCKED in.
They're LOCKED in.
mr. simpson is pointing at a sign that says " do n't forget you 're here forever "
Alt: mr. Burns is pointing at a sign that says " don't forget you're here forever "
media.tenor.com
September 28, 2025 at 8:08 AM
Okay my favorite part of all this from a hardware standpoint is each new generation ***isn't backwards compatible*** they're not shipping pcie datacenter racks, they're shipping sxm5 which isn't compatible with sxm2/3/4 etc.
They're LOCKED in.
They're LOCKED in.
The H100 GPU starts at L2 Cache and gets around a lot of the bottlenecks using extremely wide data buses, etc.
But you really don't want to be moving training data between cards all the time.
But you really don't want to be moving training data between cards all the time.
January 27, 2025 at 11:27 AM
The H100 GPU starts at L2 Cache and gets around a lot of the bottlenecks using extremely wide data buses, etc.
But you really don't want to be moving training data between cards all the time.
But you really don't want to be moving training data between cards all the time.
8x H100 SXM5 nodes are available now. 640GB of HBM3 with all eight cards on NVLink mesh at 900 GB/s, which holds a 70B model in BF16 with room for long context. $25.12 an hour for the node.
https://massedcompute.com
https://massedcompute.com
September 10, 2026 at 9:05 PM
8x H100 SXM5 nodes are available now. 640GB of HBM3 with all eight cards on NVLink mesh at 900 GB/s, which holds a 70B model in BF16 with room for long context. $25.12 an hour for the node.
https://massedcompute.com
https://massedcompute.com
GLM 5.3 Flash hit 698 output tokens per second at 32 concurrent requests on 8x H100 SXM5 with vLLM. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gpu-benchmark
September 4, 2026 at 2:31 PM
GLM 5.3 Flash hit 698 output tokens per second at 32 concurrent requests on 8x H100 SXM5 with vLLM. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gpu-benchmark
Little's Law says keep bytes in flight; the H100 disagrees past a point. Clean-room microbenchmarks on three H100 SXM5 dies find plain-load bandwidth peaks at ~2 loads per thread and falls about 35% by 8, reproducing at -35.0% and -35.2%. cp.async holds 2.1-2.9x at high depth.
August 18, 2026 at 9:52 PM
Little's Law says keep bytes in flight; the H100 disagrees past a point. Clean-room microbenchmarks on three H100 SXM5 dies find plain-load bandwidth peaks at ~2 loads per thread and falls about 35% by 8, reproducing at -35.0% and -35.2%. cp.async holds 2.1-2.9x at high depth.
🔥 NVIDIA H200 SXM5 141GB HBM3e GPU IA PCI Refroidisseur Passif Centre de Données
eBay · 372.46 €
#BonPlan #HighTech #Promo
eBay · 372.46 €
#BonPlan #HighTech #Promo
NVIDIA H200 SXM5 141GB HBM3e GPU IA PCI Refroidisseur Passif Centre de Données
eBay — 372.46 €
www.ebay.fr
July 24, 2026 at 8:11 PM
Oh, it does say that. I read 350W PCIe and thought it didn’t include the SXM5 variant.
June 12, 2026 at 7:37 PM
Oh, it does say that. I read 350W PCIe and thought it didn’t include the SXM5 variant.