#mi300a — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #mi300a, aggregated by home.social.
-
Good News: Today I had the opportunity to talk with #amd staff: 1. Yes, the transformer support was a higher priority than convolutions. 2. My problem can be tracked down to the backwards pass of Conv3D 3. By using the MIOPEN_FIND_MODE=3 and MIOPEN_FIND_ENFORCE=3 env variables in #rocm 6.4 I got a huge performance boost such that my code now runs faster on the #mi300a than on the #A100 🤩
-
Good News: Today I had the opportunity to talk with #amd staff: 1. Yes, the transformer support was a higher priority than convolutions. 2. My problem can be tracked down to the backwards pass of Conv3D 3. By using the MIOPEN_FIND_MODE=3 and MIOPEN_FIND_ENFORCE=3 env variables in #rocm 6.4 I got a huge performance boost such that my code now runs faster on the #mi300a than on the #A100 🤩
-
Good News: Today I had the opportunity to talk with #amd staff: 1. Yes, the transformer support was a higher priority than convolutions. 2. My problem can be tracked down to the backwards pass of Conv3D 3. By using the MIOPEN_FIND_MODE=3 and MIOPEN_FIND_ENFORCE=3 env variables in #rocm 6.4 I got a huge performance boost such that my code now runs faster on the #mi300a than on the #A100 🤩
-
🚀 Ready to test the limits of performance?
Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!
💻 Bring your code, ideas, and curiosity.
🔧 Optimize, accelerate, and innovate with us.
🏆 Let’s see what you can build!🔗 https://www.archer2.ac.uk/training/courses/250527-amd-hackathon/
-
🚀 Ready to test the limits of performance?
Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!
💻 Bring your code, ideas, and curiosity.
🔧 Optimize, accelerate, and innovate with us.
🏆 Let’s see what you can build!🔗 https://www.archer2.ac.uk/training/courses/250527-amd-hackathon/
-
🚀 Ready to test the limits of performance?
Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!
💻 Bring your code, ideas, and curiosity.
🔧 Optimize, accelerate, and innovate with us.
🏆 Let’s see what you can build!🔗 https://www.archer2.ac.uk/training/courses/250527-amd-hackathon/
-
🚀 Ready to test the limits of performance?
Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!
💻 Bring your code, ideas, and curiosity.
🔧 Optimize, accelerate, and innovate with us.
🏆 Let’s see what you can build!🔗 https://www.archer2.ac.uk/training/courses/250527-amd-hackathon/
-
Today I tried out #AMD #Instinct #MI300a for my existing Deep Learning pipeline. Good news: It worked out of the box. Bad news: For some reason it could not beat my local #Nvidia #1080ti...
After trying all sorts of #ROCM installation methods via prebuild wheels, #apptainer images etc I tried #nanogpt by @karpathy and sure enought: The gpt code ran approx 2x faster than on a #a100 ... I hope that this is due to my programming skills. Not AMD prefering #transformers over #CNNs ... -
Today I tried out #AMD #Instinct #MI300a for my existing Deep Learning pipeline. Good news: It worked out of the box. Bad news: For some reason it could not beat my local #Nvidia #1080ti...
After trying all sorts of #ROCM installation methods via prebuild wheels, #apptainer images etc I tried #nanogpt by @karpathy and sure enought: The gpt code ran approx 2x faster than on a #a100 ... I hope that this is due to my programming skills. Not AMD prefering #transformers over #CNNs ... -
Today I tried out #AMD #Instinct #MI300a for my existing Deep Learning pipeline. Good news: It worked out of the box. Bad news: For some reason it could not beat my local #Nvidia #1080ti...
After trying all sorts of #ROCM installation methods via prebuild wheels, #apptainer images etc I tried #nanogpt by @karpathy and sure enought: The gpt code ran approx 2x faster than on a #a100 ... I hope that this is due to my programming skills. Not AMD prefering #transformers over #CNNs ... -
Sizing up #MI300A’s #GPU
It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
#AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
https://chipsandcheese.com/p/sizing-up-mi300as-gpu -
Sizing up #MI300A’s #GPU
It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
#AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
https://chipsandcheese.com/p/sizing-up-mi300as-gpu -
Sizing up #MI300A’s #GPU
It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
#AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
https://chipsandcheese.com/p/sizing-up-mi300as-gpu -
Sizing up #MI300A’s #GPU
It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
#AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
https://chipsandcheese.com/p/sizing-up-mi300as-gpu -
Sizing up #MI300A’s #GPU
It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
#AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
https://chipsandcheese.com/p/sizing-up-mi300as-gpu -
#Germany unleashes #AMD-powered Hunter #supercomputer
€15 million system to serve as testbed for larger Herder supercomputer coming in 2027
Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
https://www.theregister.com/2025/01/17/hlrs_supercomputer_hunter/ -
#Germany unleashes #AMD-powered Hunter #supercomputer
€15 million system to serve as testbed for larger Herder supercomputer coming in 2027
Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
https://www.theregister.com/2025/01/17/hlrs_supercomputer_hunter/ -
#Germany unleashes #AMD-powered Hunter #supercomputer
€15 million system to serve as testbed for larger Herder supercomputer coming in 2027
Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
https://www.theregister.com/2025/01/17/hlrs_supercomputer_hunter/ -
#Germany unleashes #AMD-powered Hunter #supercomputer
€15 million system to serve as testbed for larger Herder supercomputer coming in 2027
Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
https://www.theregister.com/2025/01/17/hlrs_supercomputer_hunter/ -
#Germany unleashes #AMD-powered Hunter #supercomputer
€15 million system to serve as testbed for larger Herder supercomputer coming in 2027
Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
https://www.theregister.com/2025/01/17/hlrs_supercomputer_hunter/ -
#HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
https://insidehpc.com/2025/01/hpe-hunter-supercomputer-now-in-operation-at-hlrs-powered-by-amd-apus/ -
#HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
https://insidehpc.com/2025/01/hpe-hunter-supercomputer-now-in-operation-at-hlrs-powered-by-amd-apus/ -
#HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
https://insidehpc.com/2025/01/hpe-hunter-supercomputer-now-in-operation-at-hlrs-powered-by-amd-apus/ -
#HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
https://insidehpc.com/2025/01/hpe-hunter-supercomputer-now-in-operation-at-hlrs-powered-by-amd-apus/ -
#HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
https://insidehpc.com/2025/01/hpe-hunter-supercomputer-now-in-operation-at-hlrs-powered-by-amd-apus/ -
HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI
-
HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI
-
HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI
-
HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI
-
Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale
El Capitan: The World’s Fastes... -
Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale
El Capitan: The World’s Fastes... -
Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale
El Capitan: The World’s Fastes... -
Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale
El Capitan: The World’s Fastes... -
Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale
El Capitan: The World’s Fastes... -
#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/ -
#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/ -
#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/ -
#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/ -
#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/ -
All the tech and history that culminates in the MI300A accelerator!
#AMD’s Long And Winding Road To The Hybrid #CPU-#GPU Instinct #MI300A
https://www.nextplatform.com/2024/07/17/amds-long-and-winding-road-to-the-hybrid-cpu-gpu-instinct-mi300a/ -
All the tech and history that culminates in the MI300A accelerator!
#AMD’s Long And Winding Road To The Hybrid #CPU-#GPU Instinct #MI300A
https://www.nextplatform.com/2024/07/17/amds-long-and-winding-road-to-the-hybrid-cpu-gpu-instinct-mi300a/ -
All the tech and history that culminates in the MI300A accelerator!
#AMD’s Long And Winding Road To The Hybrid #CPU-#GPU Instinct #MI300A
https://www.nextplatform.com/2024/07/17/amds-long-and-winding-road-to-the-hybrid-cpu-gpu-instinct-mi300a/ -
All the tech and history that culminates in the MI300A accelerator!
#AMD’s Long And Winding Road To The Hybrid #CPU-#GPU Instinct #MI300A
https://www.nextplatform.com/2024/07/17/amds-long-and-winding-road-to-the-hybrid-cpu-gpu-instinct-mi300a/ -
All the tech and history that culminates in the MI300A accelerator!
#AMD’s Long And Winding Road To The Hybrid #CPU-#GPU Instinct #MI300A
https://www.nextplatform.com/2024/07/17/amds-long-and-winding-road-to-the-hybrid-cpu-gpu-instinct-mi300a/ -
#AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
https://wccftech.com/amd-instinct-mi300a-apu-cdna-3-gpu-zen-4-cpu-unified-memory-up-to-4x-speedup-versus-discrete-gpus/ -
#AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
https://wccftech.com/amd-instinct-mi300a-apu-cdna-3-gpu-zen-4-cpu-unified-memory-up-to-4x-speedup-versus-discrete-gpus/ -
#AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
https://wccftech.com/amd-instinct-mi300a-apu-cdna-3-gpu-zen-4-cpu-unified-memory-up-to-4x-speedup-versus-discrete-gpus/ -
#AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
https://wccftech.com/amd-instinct-mi300a-apu-cdna-3-gpu-zen-4-cpu-unified-memory-up-to-4x-speedup-versus-discrete-gpus/ -
#AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
https://wccftech.com/amd-instinct-mi300a-apu-cdna-3-gpu-zen-4-cpu-unified-memory-up-to-4x-speedup-versus-discrete-gpus/ -
#AMD bets demand for its #MI300 accelerator will balance dips across other product lines
CEO #LisaSu boasted AMD now predicts #datacenter GPUs – this includes the #MI300A – to see consistent sequential growth over the next several quarters, driving revenues of $3.5 billion in 2024 alone. Tthe MI300 represents AMD’s first compelling contender in the #AI arena, with its previous-gen #MI200 parts primarily designed for #highperformancecomputing (#hpc) deployments
https://www.theregister.com/2024/01/31/amd_q4_2023/ #GPU #APU -
#AMD bets demand for its #MI300 accelerator will balance dips across other product lines
CEO #LisaSu boasted AMD now predicts #datacenter GPUs – this includes the #MI300A – to see consistent sequential growth over the next several quarters, driving revenues of $3.5 billion in 2024 alone. Tthe MI300 represents AMD’s first compelling contender in the #AI arena, with its previous-gen #MI200 parts primarily designed for #highperformancecomputing (#hpc) deployments
https://www.theregister.com/2024/01/31/amd_q4_2023/ #GPU #APU -
#AMD bets demand for its #MI300 accelerator will balance dips across other product lines
CEO #LisaSu boasted AMD now predicts #datacenter GPUs – this includes the #MI300A – to see consistent sequential growth over the next several quarters, driving revenues of $3.5 billion in 2024 alone. Tthe MI300 represents AMD’s first compelling contender in the #AI arena, with its previous-gen #MI200 parts primarily designed for #highperformancecomputing (#hpc) deployments
https://www.theregister.com/2024/01/31/amd_q4_2023/ #GPU #APU -
#AMD bets demand for its #MI300 accelerator will balance dips across other product lines
CEO #LisaSu boasted AMD now predicts #datacenter GPUs – this includes the #MI300A – to see consistent sequential growth over the next several quarters, driving revenues of $3.5 billion in 2024 alone. Tthe MI300 represents AMD’s first compelling contender in the #AI arena, with its previous-gen #MI200 parts primarily designed for #highperformancecomputing (#hpc) deployments
https://www.theregister.com/2024/01/31/amd_q4_2023/ #GPU #APU -
#AMD bets demand for its #MI300 accelerator will balance dips across other product lines
CEO #LisaSu boasted AMD now predicts #datacenter GPUs – this includes the #MI300A – to see consistent sequential growth over the next several quarters, driving revenues of $3.5 billion in 2024 alone. Tthe MI300 represents AMD’s first compelling contender in the #AI arena, with its previous-gen #MI200 parts primarily designed for #highperformancecomputing (#hpc) deployments
https://www.theregister.com/2024/01/31/amd_q4_2023/ #GPU #APU -
💡 La trimestrale AMD supera le aspettative con una crescita del 4%
Mentre i ricavi globali dei semiconduttori soffrono, AMD dimostra di sapersi adattare al cambiamento e si distingue con investimenti riusciti nell'IA.
https://gomoot.com/la-trimestrale-amd-supera-le-aspettative-con-una-crescita-del-4/#AI #amd #chip #ia #intelligenzaartificiale #Qualcomm #Samsung #semiconduttori #gpu #intel #MI300A
-
💡 La trimestrale AMD supera le aspettative con una crescita del 4%
Mentre i ricavi globali dei semiconduttori soffrono, AMD dimostra di sapersi adattare al cambiamento e si distingue con investimenti riusciti nell'IA.
https://gomoot.com/la-trimestrale-amd-supera-le-aspettative-con-una-crescita-del-4/#AI #amd #chip #ia #intelligenzaartificiale #Qualcomm #Samsung #semiconduttori #gpu #intel #MI300A
-
💡 La trimestrale AMD supera le aspettative con una crescita del 4%
Mentre i ricavi globali dei semiconduttori soffrono, AMD dimostra di sapersi adattare al cambiamento e si distingue con investimenti riusciti nell'IA.
https://gomoot.com/la-trimestrale-amd-supera-le-aspettative-con-una-crescita-del-4/#AI #amd #chip #ia #intelligenzaartificiale #Qualcomm #Samsung #semiconduttori #gpu #intel #MI300A
-
Apparently,
@AMD
Instinct #MI300A will deliver 2507 TFlops of FP8 with sparsity at 850 watts based on pre-production silicon. That's put against 306,4 delivered TFlops (FP16, no FP8-support) on MI250X at 560 watts (80% utilization). Footnote's a year old, but wasn't live until a couple of days ago and in David Wang's Presentation at AMD FAD22, both numbers weren't present. -
Apparently,
@AMD
Instinct #MI300A will deliver 2507 TFlops of FP8 with sparsity at 850 watts based on pre-production silicon. That's put against 306,4 delivered TFlops (FP16, no FP8-support) on MI250X at 560 watts (80% utilization). Footnote's a year old, but wasn't live until a couple of days ago and in David Wang's Presentation at AMD FAD22, both numbers weren't present. -
#AMD Has a #GPU to Rival #Nvidia’s #H100
#MI300X is a GPU-only version of previously announced #MI300A supercomputing chip, which includes a #CPU and #GPU. The MI300A will be in El Capitan, a supercomputer coming next year to the #LosAlamos #NationalLaboratory. El Capitan is expected to surpass 2 exaflops of performance. The MI300X has 192GB of #HBM3, which Su said was 2.4 times more memory density than Nvidia’s H100. The SXM and PCIe versions of H100 have 80GB of HBM3.
https://www.hpcwire.com/2023/06/13/amd-has-a-gpu-to-rival-nvidias-h100/