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@openuk@hachyderm.io  ·  activity timestamp 2 weeks ago
OpenUK
OpenUK
@openuk@hachyderm.io  ·  activity timestamp 3 weeks ago
OpenUK
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OpenUK
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OpenUK
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@openuk@hachyderm.io  ·  activity timestamp 2 months ago
OpenUK
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@openuk@hachyderm.io  ·  activity timestamp 2 months ago
OpenUK
OpenUK
@openuk@hachyderm.io  ·  activity timestamp 3 months ago
OpenUK
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@openuk@hachyderm.io  ·  activity timestamp 3 months ago
Kathy Reid boosted
Everything Open Conference
Everything Open Conference
@everythingopen@fosstodon.org  ·  activity timestamp 3 months ago
AI is “coming, ready or not!”, but what’s the best way to receive it? While Silicon Valley is awash with enthusiastically valued companies in a race to see who can boil the ocean first, could there be a better way to do this? There have been plenty of eyebrow-raising failures: 🤖 Advice like “You should eat at least one small rock per day” 🤖 Drawing pictures of people with too many fingers and eyes 🤖 Legal bots writing fan-fic instead of citing cases 🤖 Having an AI friend/therapist lead you into some dark places On the bright side, the growing number and variety of local AI acceleration hardware devices along with things like the Open Source Initiative’s Open Source AI spec (https://opensource.org/ai). Maybe taking charge of our own AI development and use could lead to a brighter tomorrow? https://2026.everythingopen.au/news/opensource-ai-campaign/ ⏰ Come and share with us at Everything Open Canberra 2026. ⏰ Talk submissions still open until 21 September 2025! https://2026.everythingopen.au/programme/proposals/
AI is “coming, ready or not!”, but what’s the best way to receive it? While Silicon Valley is awash with enthusiastically valued companies in a race to see who can boil the ocean first, could there be a better way to do this? There have been plenty of eyebrow-raising failures: 🤖 Advice like “You should eat at least one small rock per day” 🤖 Drawing pictures of people with too many fingers and eyes 🤖 Legal bots writing fan-fic instead of citing cases 🤖 Having an AI friend/therapist lead you into some dark places On the bright side, the growing number and variety of local AI acceleration hardware devices along with things like the Open Source Initiative’s Open Source AI spec (https://opensource.org/ai). Maybe taking charge of our own AI development and use could lead to a brighter tomorrow? https://2026.everythingopen.au/news/opensource-ai-campaign/ ⏰ Come and share with us at Everything Open Canberra 2026. ⏰ Talk submissions still open until 21 September 2025! https://2026.everythingopen.au/programme/proposals/
AI is “coming, ready or not!”, but what’s the best way to receive it? While Silicon Valley is awash with enthusiastically valued companies in a race to see who can boil the ocean first, could there be a better way to do this? There have been plenty of eyebrow-raising failures: 🤖 Advice like “You should eat at least one small rock per day” 🤖 Drawing pictures of people with too many fingers and eyes 🤖 Legal bots writing fan-fic instead of citing cases 🤖 Having an AI friend/therapist lead you into some dark places On the bright side, the growing number and variety of local AI acceleration hardware devices along with things like the Open Source Initiative’s Open Source AI spec (https://opensource.org/ai). Maybe taking charge of our own AI development and use could lead to a brighter tomorrow? https://2026.everythingopen.au/news/opensource-ai-campaign/ ⏰ Come and share with us at Everything Open Canberra 2026. ⏰ Talk submissions still open until 21 September 2025! https://2026.everythingopen.au/programme/proposals/
Everything Open Conference
Everything Open Conference
@everythingopen@fosstodon.org  ·  activity timestamp 3 months ago
AI is “coming, ready or not!”, but what’s the best way to receive it? While Silicon Valley is awash with enthusiastically valued companies in a race to see who can boil the ocean first, could there be a better way to do this? There have been plenty of eyebrow-raising failures: 🤖 Advice like “You should eat at least one small rock per day” 🤖 Drawing pictures of people with too many fingers and eyes 🤖 Legal bots writing fan-fic instead of citing cases 🤖 Having an AI friend/therapist lead you into some dark places On the bright side, the growing number and variety of local AI acceleration hardware devices along with things like the Open Source Initiative’s Open Source AI spec (https://opensource.org/ai). Maybe taking charge of our own AI development and use could lead to a brighter tomorrow? https://2026.everythingopen.au/news/opensource-ai-campaign/ ⏰ Come and share with us at Everything Open Canberra 2026. ⏰ Talk submissions still open until 21 September 2025! https://2026.everythingopen.au/programme/proposals/
AI is “coming, ready or not!”, but what’s the best way to receive it? While Silicon Valley is awash with enthusiastically valued companies in a race to see who can boil the ocean first, could there be a better way to do this? There have been plenty of eyebrow-raising failures: 🤖 Advice like “You should eat at least one small rock per day” 🤖 Drawing pictures of people with too many fingers and eyes 🤖 Legal bots writing fan-fic instead of citing cases 🤖 Having an AI friend/therapist lead you into some dark places On the bright side, the growing number and variety of local AI acceleration hardware devices along with things like the Open Source Initiative’s Open Source AI spec (https://opensource.org/ai). Maybe taking charge of our own AI development and use could lead to a brighter tomorrow? https://2026.everythingopen.au/news/opensource-ai-campaign/ ⏰ Come and share with us at Everything Open Canberra 2026. ⏰ Talk submissions still open until 21 September 2025! https://2026.everythingopen.au/programme/proposals/
AI is “coming, ready or not!”, but what’s the best way to receive it? While Silicon Valley is awash with enthusiastically valued companies in a race to see who can boil the ocean first, could there be a better way to do this? There have been plenty of eyebrow-raising failures: 🤖 Advice like “You should eat at least one small rock per day” 🤖 Drawing pictures of people with too many fingers and eyes 🤖 Legal bots writing fan-fic instead of citing cases 🤖 Having an AI friend/therapist lead you into some dark places On the bright side, the growing number and variety of local AI acceleration hardware devices along with things like the Open Source Initiative’s Open Source AI spec (https://opensource.org/ai). Maybe taking charge of our own AI development and use could lead to a brighter tomorrow? https://2026.everythingopen.au/news/opensource-ai-campaign/ ⏰ Come and share with us at Everything Open Canberra 2026. ⏰ Talk submissions still open until 21 September 2025! https://2026.everythingopen.au/programme/proposals/
Debby ‬⁂📎🐧:disability_flag:
Debby ‬⁂📎🐧:disability_flag:
@debby@hear-me.social  ·  activity timestamp 3 months ago
What is the Best used GPU Pick for AI Researchers? GPUs I’m Considering: | GPU Model | VRAM | Pros | Cons/Notes | | Nvidia Tesla M40 | 24GB GDDR5 | Reliable, less costly than V100 | Older architecture, but solid for budget builds | | Nvidia Tesla M10 | 32GB (4x 8GB) | High total VRAM, budget-friendly on used market | Split VRAM might limit some workloads | | AMD Radeon Instinct MI50 | 32GB HBM2 | High bandwidth, strong FP16/FP32, ROCm support | ROCm ecosystem is improving but not as mature as CUDA | | Nvidia Tesla V100 | 32GB HBM2 | Mature AI hardware, strong Linux/CUDA support | Pricier than M40/M10 but excellent performance | | Nvidia A40 | 48GB GDDR6 | Huge VRAM, server-grade GPU | Expensive, but future-proof for larger models |
What is the Best used GPU Pick for AI Researchers? GPUs I’m Considering: | GPU Model | VRAM | Pros | Cons/Notes | | Nvidia Tesla M40 | 24GB GDDR5 | Reliable, less costly than V100 | Older architecture, but solid for budget builds | | Nvidia Tesla M10 | 32GB (4x 8GB) | High total VRAM, budget-friendly on used market | Split VRAM might limit some workloads | | AMD Radeon Instinct MI50 | 32GB HBM2 | High bandwidth, strong FP16/FP32, ROCm support | ROCm ecosystem is improving but not as mature as CUDA | | Nvidia Tesla V100 | 32GB HBM2 | Mature AI hardware, strong Linux/CUDA support | Pricier than M40/M10 but excellent performance | | Nvidia A40 | 48GB GDDR6 | Huge VRAM, server-grade GPU | Expensive, but future-proof for larger models |
What is the Best used GPU Pick for AI Researchers? GPUs I’m Considering: | GPU Model | VRAM | Pros | Cons/Notes | | Nvidia Tesla M40 | 24GB GDDR5 | Reliable, less costly than V100 | Older architecture, but solid for budget builds | | Nvidia Tesla M10 | 32GB (4x 8GB) | High total VRAM, budget-friendly on used market | Split VRAM might limit some workloads | | AMD Radeon Instinct MI50 | 32GB HBM2 | High bandwidth, strong FP16/FP32, ROCm support | ROCm ecosystem is improving but not as mature as CUDA | | Nvidia Tesla V100 | 32GB HBM2 | Mature AI hardware, strong Linux/CUDA support | Pricier than M40/M10 but excellent performance | | Nvidia A40 | 48GB GDDR6 | Huge VRAM, server-grade GPU | Expensive, but future-proof for larger models |
Debby ‬⁂📎🐧:disability_flag:
Debby ‬⁂📎🐧:disability_flag:
@debby@hear-me.social  ·  activity timestamp 3 months ago
Debby ‬⁂📎🐧:disability_flag:
Debby ‬⁂📎🐧:disability_flag:
@debby@hear-me.social  ·  activity timestamp 3 months ago
What is the Best used GPU Pick for AI Researchers? GPUs I’m Considering: | GPU Model | VRAM | Pros | Cons/Notes | | Nvidia Tesla M40 | 24GB GDDR5 | Reliable, less costly than V100 | Older architecture, but solid for budget builds | | Nvidia Tesla M10 | 32GB (4x 8GB) | High total VRAM, budget-friendly on used market | Split VRAM might limit some workloads | | AMD Radeon Instinct MI50 | 32GB HBM2 | High bandwidth, strong FP16/FP32, ROCm support | ROCm ecosystem is improving but not as mature as CUDA | | Nvidia Tesla V100 | 32GB HBM2 | Mature AI hardware, strong Linux/CUDA support | Pricier than M40/M10 but excellent performance | | Nvidia A40 | 48GB GDDR6 | Huge VRAM, server-grade GPU | Expensive, but future-proof for larger models |
What is the Best used GPU Pick for AI Researchers? GPUs I’m Considering: | GPU Model | VRAM | Pros | Cons/Notes | | Nvidia Tesla M40 | 24GB GDDR5 | Reliable, less costly than V100 | Older architecture, but solid for budget builds | | Nvidia Tesla M10 | 32GB (4x 8GB) | High total VRAM, budget-friendly on used market | Split VRAM might limit some workloads | | AMD Radeon Instinct MI50 | 32GB HBM2 | High bandwidth, strong FP16/FP32, ROCm support | ROCm ecosystem is improving but not as mature as CUDA | | Nvidia Tesla V100 | 32GB HBM2 | Mature AI hardware, strong Linux/CUDA support | Pricier than M40/M10 but excellent performance | | Nvidia A40 | 48GB GDDR6 | Huge VRAM, server-grade GPU | Expensive, but future-proof for larger models |
What is the Best used GPU Pick for AI Researchers? GPUs I’m Considering: | GPU Model | VRAM | Pros | Cons/Notes | | Nvidia Tesla M40 | 24GB GDDR5 | Reliable, less costly than V100 | Older architecture, but solid for budget builds | | Nvidia Tesla M10 | 32GB (4x 8GB) | High total VRAM, budget-friendly on used market | Split VRAM might limit some workloads | | AMD Radeon Instinct MI50 | 32GB HBM2 | High bandwidth, strong FP16/FP32, ROCm support | ROCm ecosystem is improving but not as mature as CUDA | | Nvidia Tesla V100 | 32GB HBM2 | Mature AI hardware, strong Linux/CUDA support | Pricier than M40/M10 but excellent performance | | Nvidia A40 | 48GB GDDR6 | Huge VRAM, server-grade GPU | Expensive, but future-proof for larger models |
techi
techi
@techi_@mstdn.social  ·  activity timestamp 5 months ago
techi
techi
@techi_@mstdn.social  ·  activity timestamp 5 months ago
The Linux Foundation
The Linux Foundation
@linuxfoundation@social.lfx.dev  ·  activity timestamp 6 months ago